Integrative neurocybernetic modeling in the era of large-scale neuroscience | Paper Citation Record

Observation 24482367-7331-4743-893b-71af04c75c8a · outbound

This paper cites A uni- ﬁed, scalable framework for neural population decoding.

Integrative neurocybernetic modeling in the era of large-scale neuroscience A uni- ﬁed, scalable framework for neural population decoding

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T20:38:00.883773Z

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Observation fe14dbe7-2914-4fe1-80f8-1a847cc0e434 · outbound

This paper cites Multi- session, multi-task neural decoding from distinct cell-types and brain regions.

Integrative neurocybernetic modeling in the era of large-scale neuroscience Multi- session, multi-task neural decoding from distinct cell-types and brain regions

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T20:38:01.303289Z

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Observation cf2f2709-5600-4ad1-a489-baf25af570c9 · outbound

This paper cites Do deep nets really need to be deep? Advances in Neural Information Processing Systems, 27.

Integrative neurocybernetic modeling in the era of large-scale neuroscience Do deep nets really need to be deep? Advances in Neural Information Processing Systems, 27

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T20:38:01.290439Z

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Observation 4032b1e1-0c6f-4baa-b153-bde49b413ccb · outbound

This paper cites Prediction of neural activ- ity in connectome-constrained recurrent networks.Nature Neuro- science, 28(12):2561–2574, December 2025.

Integrative neurocybernetic modeling in the era of large-scale neuroscience Prediction of neural activ- ity in connectome-constrained recurrent networks.Nature Neuro- science, 28(12):2561–2574, December 2025

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T20:38:01.300322Z

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Observation 0dd7a8fc-bad2-4979-8847-97a3ec2c9947 · outbound

This paper cites On the oppor- tunities and risks of foundation models.arXiv [cs.LG], August 2021.

Integrative neurocybernetic modeling in the era of large-scale neuroscience On the oppor- tunities and risks of foundation models.arXiv [cs.LG], August 2021

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T20:38:01.293896Z

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Observation 731b93a6-261b-463a-b64f-89373c6a2dc3 · outbound

This paper cites The tradeoﬀs of large scale learn- ing.

Integrative neurocybernetic modeling in the era of large-scale neuroscience The tradeoﬀs of large scale learn- ing

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T20:38:01.312983Z

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Observation 96b2c460-0bb4-40a4-9e20-06df7e4dd690 · outbound

This paper cites Dynamic models of large-scale brain activity.

Integrative neurocybernetic modeling in the era of large-scale neuroscience Dynamic models of large-scale brain activity

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T20:38:01.222858Z

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Observation cfe579d3-58cf-4bcd-b60f-d0e4ec3b316c · outbound

This paper cites A quantitative model of conserved macroscopic dynamics predicts future motor commands.

Integrative neurocybernetic modeling in the era of large-scale neuroscience A quantitative model of conserved macroscopic dynamics predicts future motor commands

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T20:38:01.225604Z

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Observation 8e4fcdad-a59b-46c1-95bc-d5be1baca130 · outbound

This paper cites RT-1: Robotics transformer for real-world control at scale.arXiv [cs.RO], December 2022.

Integrative neurocybernetic modeling in the era of large-scale neuroscience RT-1: Robotics transformer for real-world control at scale.arXiv [cs.RO], December 2022

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T20:38:01.255394Z

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No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 66015b14-516f-4b9d-bfb9-5e362b066481 · outbound

This paper cites Statistics of neu- ronal identiﬁcation with open- and closed-loop measures of intrinsic excitability.Frontiers in Neural Circuits, 6:19, April 2012.

Integrative neurocybernetic modeling in the era of large-scale neuroscience Statistics of neu- ronal identiﬁcation with open- and closed-loop measures of intrinsic excitability.Frontiers in Neural Circuits, 6:19, April 2012

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T20:38:01.283052Z

Source-reported events for the cited work

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Observation ec0db3d3-fb96-4b5f-8730-fc283fd7ef2e · outbound

This paper cites Discovering governing equations from data by sparse identiﬁcation of nonlinear dynamical systems.Proceedings of the National Academy of Sciences, 113(15):3932–3937.

Integrative neurocybernetic modeling in the era of large-scale neuroscience Discovering governing equations from data by sparse identiﬁcation of nonlinear dynamical systems.Proceedings of the National Academy of Sciences, 113(15):3932–3937

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T20:38:00.905823Z

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Observation 4dbeae77-1791-465c-bbb0-9695265839af · outbound

This paper cites Analyzing populations of neural networks via dynam- ical model embedding.arXiv [cs.LG], February 2023.

Integrative neurocybernetic modeling in the era of large-scale neuroscience Analyzing populations of neural networks via dynam- ical model embedding.arXiv [cs.LG], February 2023

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T20:38:00.971661Z

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Observation c1f21345-0549-466d-a74c-7f3b9bbdf529 · outbound

This paper cites Action suppres- sion reveals opponent parallel control via striatal circuits.Nature, 607(7919):521–526, July 2022.

Integrative neurocybernetic modeling in the era of large-scale neuroscience Action suppres- sion reveals opponent parallel control via striatal circuits.Nature, 607(7919):521–526, July 2022

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T20:38:01.347130Z

Source-reported events for the cited work

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Observation 81038d58-66b0-4966-b52a-167864d49045 · outbound

This paper cites Multilevel visuomotor con- trol of locomotion in Drosophila.Current Opinion in Neurobiology, 82: 102774, October 2023.

Integrative neurocybernetic modeling in the era of large-scale neuroscience Multilevel visuomotor con- trol of locomotion in Drosophila.Current Opinion in Neurobiology, 82: 102774, October 2023

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T20:38:01.219652Z

Source-reported events for the cited work

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Observation d00cefc4-2792-4296-91b9-a0b482a78a06 · outbound

This paper cites ParaRNN: Unlocking parallel training of nonlinear RNNs for large language models.

Integrative neurocybernetic modeling in the era of large-scale neuroscience ParaRNN: Unlocking parallel training of nonlinear RNNs for large language models

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T20:38:01.239396Z

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Observation 5ea1f4dc-85a0-42c3-85b3-90c540046887 · outbound

This paper cites Brain-like functional specialization emerges spontaneously in deep neural networks.Science Advances, 8(11):eabl8913, March 2022.

Integrative neurocybernetic modeling in the era of large-scale neuroscience Brain-like functional specialization emerges spontaneously in deep neural networks.Science Advances, 8(11):eabl8913, March 2022

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T20:38:01.276621Z

Source-reported events for the cited work

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Observation 5dcab50e-b1b8-4b0d-875d-8d2ee224df36 · outbound

This paper cites Range, not inde- pendence, drives modularity in biologically inspired representations.

Integrative neurocybernetic modeling in the era of large-scale neuroscience Range, not inde- pendence, drives modularity in biologically inspired representations

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T20:38:01.323001Z

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Observation 1c9e1365-f24d-4f07-95ba-f88a36e7519f · outbound

This paper cites eXponential FAmily dynamical systems (XFADS): Large-scale nonlinear gaussian state-space modeling.

Integrative neurocybernetic modeling in the era of large-scale neuroscience eXponential FAmily dynamical systems (XFADS): Large-scale nonlinear gaussian state-space modeling

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T20:38:01.343785Z

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Observation 853a7e12-cd0f-4dfa-b971-016188d42762 · outbound

This paper cites Computation through cortical dynamics.Neuron, 98(5):873–875, June 2018.

Integrative neurocybernetic modeling in the era of large-scale neuroscience Computation through cortical dynamics.Neuron, 98(5):873–875, June 2018

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T20:38:00.988973Z

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Observation 5c889c42-9887-4b80-94d3-f8c3a226bdc6 · outbound

This paper cites the bitter lesson.

Integrative neurocybernetic modeling in the era of large-scale neuroscience the bitter lesson

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T20:38:01.198521Z

Source-reported events for the cited work

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Observation 1a7a96f0-3ba8-4a7f-aa3e-e24fa8833fb1 · outbound

This paper cites Ecker, Philipp Berens, R.

Integrative neurocybernetic modeling in the era of large-scale neuroscience Ecker, Philipp Berens, R

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T20:38:01.329749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation bb3e4c1f-bdf2-4285-a6d6-62cdfb136fc1 · outbound

This paper cites A prac- tical survey on faster and lighter transformers.ACM computing sur- veys, 55(14s):1–40, December 2023.

Integrative neurocybernetic modeling in the era of large-scale neuroscience A prac- tical survey on faster and lighter transformers.ACM computing sur- veys, 55(14s):1–40, December 2023

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T20:38:01.187065Z

Source-reported events for the cited work

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Observation 770b102d-0f0c-4acb-a4e7-c1f28e0798dd · outbound

This paper cites Dynamic representations and gen- erative models of brain function.Brain research bulletin, 54(3):275– 285.

Integrative neurocybernetic modeling in the era of large-scale neuroscience Dynamic representations and gen- erative models of brain function.Brain research bulletin, 54(3):275– 285

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T20:38:01.183972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 9c46cef4-d5b8-43c9-8ee4-a6ab57daf6fd · outbound

This paper cites Walk- ing strides direct rapid and ﬂexible recruitment of visual circuits for course control in drosophila.Neuron, 110(13):2124–2138, July 2022.

Integrative neurocybernetic modeling in the era of large-scale neuroscience Walk- ing strides direct rapid and ﬂexible recruitment of visual circuits for course control in drosophila.Neuron, 110(13):2124–2138, July 2022

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T20:38:00.978557Z

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Observation 8c79b2ce-18a1-4c99-8416-e249b85496d5 · outbound

This paper cites Long-term stability of cortical population dynamics underlying consistent behavior.Nature neuroscience, Jan- uary 2020.

Integrative neurocybernetic modeling in the era of large-scale neuroscience Long-term stability of cortical population dynamics underlying consistent behavior.Nature neuroscience, Jan- uary 2020

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T20:38:00.982785Z

Source-reported events for the cited work

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Observation f3aa17bb-fb99-4339-8cc7-6c9ac980d14d · outbound

This paper cites Nonlinear convergence analysis for the parareal algorithm.

Integrative neurocybernetic modeling in the era of large-scale neuroscience Nonlinear convergence analysis for the parareal algorithm

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T20:38:01.207923Z

Source-reported events for the cited work

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Observation 0d857319-15c0-4a2c-bb2c-9432072614d1 · outbound

This paper cites Inferring system and optimal control parameters of closed-loop systems from partial observations.arXiv [math.OC], pages 8006–8013, February 2025.

Integrative neurocybernetic modeling in the era of large-scale neuroscience Inferring system and optimal control parameters of closed-loop systems from partial observations.arXiv [math.OC], pages 8006–8013, February 2025

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T20:38:00.995213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation d9c8eadd-f8a2-4800-bdac-690b5a6c9ceb · outbound

This paper cites Moving beyond generalization to accurate interpretation of ﬂexible models.Nature machine intelli- gence, 2(11):674–683, October 2020.

Integrative neurocybernetic modeling in the era of large-scale neuroscience Moving beyond generalization to accurate interpretation of ﬂexible models.Nature machine intelli- gence, 2(11):674–683, October 2020

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T20:38:01.027059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 26044d88-df4d-4055-bce8-1a7ed6b99512 · outbound

This paper cites A high- performance neural prosthesis enabled by control algorithm design.

Integrative neurocybernetic modeling in the era of large-scale neuroscience A high- performance neural prosthesis enabled by control algorithm design

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T20:38:01.058762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 6af6e0e2-f2c8-4ede-a5bd-8565bc9f1ad1 · outbound

This paper cites Predictability enables parallelization of nonlinear state space models.

Integrative neurocybernetic modeling in the era of large-scale neuroscience Predictability enables parallelization of nonlinear state space models

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T20:38:01.001428Z

Source-reported events for the cited work

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Observation cccf2207-60ae-429b-99d4-f5594b439c1c · outbound

This paper cites T owards scalable and stable parallelization of nonlinear RNNs.

Integrative neurocybernetic modeling in the era of large-scale neuroscience T owards scalable and stable parallelization of nonlinear RNNs

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T20:38:00.960594Z

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Observation 348d9f13-64b6-457f-806d-e45781aea30c · outbound

This paper cites Reliable neuro- modulation from circuits with variable underlying structure.Proceed- ings of the National Academy of Sciences, 106(28):11742–11746, July 2009.

Integrative neurocybernetic modeling in the era of large-scale neuroscience Reliable neuro- modulation from circuits with variable underlying structure.Proceed- ings of the National Academy of Sciences, 106(28):11742–11746, July 2009

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T20:38:01.248742Z

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No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation ed204810-8b99-4497-929e-64687ad349ca · outbound

This paper cites Mamba: Linear-time sequence modeling with selective state spaces.arXiv [cs.LG], December 2023.

Integrative neurocybernetic modeling in the era of large-scale neuroscience Mamba: Linear-time sequence modeling with selective state spaces.arXiv [cs.LG], December 2023

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T20:38:01.042606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 4349be9a-fd28-4fa9-8bd3-e3cb6d76a7fa · outbound

This paper cites Multiple mechanisms switch an electrically coupled, synaptically inhibited neuron between competing rhythmic oscillators.Neuron, 77(5):845– 858, March 2013.

Integrative neurocybernetic modeling in the era of large-scale neuroscience Multiple mechanisms switch an electrically coupled, synaptically inhibited neuron between competing rhythmic oscillators.Neuron, 77(5):845– 858, March 2013

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T20:38:01.048408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation ca3a02b4-bd39-4caf-968b-02fc9fcf5e17 · outbound

This paper cites Time, con- trol, and the nervous system.Annual Review of Neuroscience, 48(1): 465–489, July 2025.

Integrative neurocybernetic modeling in the era of large-scale neuroscience Time, con- trol, and the nervous system.Annual Review of Neuroscience, 48(1): 465–489, July 2025

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T20:38:01.235678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 556e1365-dbcf-44da-acd5-e44614f76afc · outbound

This paper cites The time is ripe to reverse engineer an entire nervous system: simulating behavior from neural interactions.arXiv [q-bio.NC], August 2023.

Integrative neurocybernetic modeling in the era of large-scale neuroscience The time is ripe to reverse engineer an entire nervous system: simulating behavior from neural interactions.arXiv [q-bio.NC], August 2023

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T20:38:00.935673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation d92168f2-bd37-4b41-a48b-1a7697521401 · outbound

This paper cites Haykin and J.

Integrative neurocybernetic modeling in the era of large-scale neuroscience Haykin and J

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T20:38:00.941116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 2e1e8825-e43b-415f-b99d-8e33be69a511 · outbound

This paper cites Neural mechanisms of speed- accuracy tradeoﬀ.Neuron, 76(3):616–628, November 2012.

Integrative neurocybernetic modeling in the era of large-scale neuroscience Neural mechanisms of speed- accuracy tradeoﬀ.Neuron, 76(3):616–628, November 2012

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T20:38:01.340460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation e21e91f3-f803-44e9-9823-c1f22f709df8 · outbound

This paper cites Distilling the knowl- edge in a neural network.arXiv [stat.ML], March 2015.

Integrative neurocybernetic modeling in the era of large-scale neuroscience Distilling the knowl- edge in a neural network.arXiv [stat.ML], March 2015

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T20:38:01.080139Z

Source-reported events for the cited work

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Observation f3e9b4dd-7a29-414d-9bf4-52ad2e049e9c · outbound

This paper cites Hochberg, Mijail D.

Integrative neurocybernetic modeling in the era of large-scale neuroscience Hochberg, Mijail D

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T20:38:01.090838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 8301aa7f-c4c7-429c-8d0e-883d8a725808 · outbound

This paper cites Myopic control of neural dy- namics.PLOS Computational Biology, March 2019.

Integrative neurocybernetic modeling in the era of large-scale neuroscience Myopic control of neural dy- namics.PLOS Computational Biology, March 2019

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T20:38:01.163811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 2918030a-be0b-458c-89dc-b7056967f773 · outbound

This paper cites Dynamical movement primitives: learning attractor models for motor behaviors.Neural computation, 25(2):328–373, February 2013.

Integrative neurocybernetic modeling in the era of large-scale neuroscience Dynamical movement primitives: learning attractor models for motor behaviors.Neural computation, 25(2):328–373, February 2013

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T20:38:00.931406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 63c2fab1-cea1-4337-8125-cc5e1523220f · outbound

This paper cites Re- producibility of in vivo electrophysiological measurements in mice.

Integrative neurocybernetic modeling in the era of large-scale neuroscience Re- producibility of in vivo electrophysiological measurements in mice

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T20:38:00.967900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation b476625f-5bb1-463a-bcd4-5650e5556372 · outbound

This paper cites Dis- entangling the roles of distinct cell classes with cell-type dynamical systems.

Integrative neurocybernetic modeling in the era of large-scale neuroscience Dis- entangling the roles of distinct cell classes with cell-type dynamical systems

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T20:38:01.286383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation c2f51c1d-7f3e-44e9-83ac-cc023b037df5 · outbound

This paper cites A generic non-invasive neuromotor interface for human-computer interaction.Nature, pages 1–10, July 2025.

Integrative neurocybernetic modeling in the era of large-scale neuroscience A generic non-invasive neuromotor interface for human-computer interaction.Nature, pages 1–10, July 2025

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T20:38:01.006126Z

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No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation ecc2a1ce-a00c-4b00-bd8e-bba206a07127 · outbound

This paper cites Kao, Paul Nuyujukian, Stephen I.

Integrative neurocybernetic modeling in the era of large-scale neuroscience Kao, Paul Nuyujukian, Stephen I

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T20:38:01.015759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 1552dfa3-9f86-4b27-9f6d-78bf88c1b55a · outbound

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Integrative neurocybernetic modeling in the era of large-scale neuroscience The explanatory force of dynamical and mathematical models in neuroscience: A mechanistic perspective.Philosophy of Science, 78(4):601–627

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T20:38:01.259058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 64cb7f67-eae1-4d8d-9c3d-247b417f60d4 · outbound

This paper cites Few-shot al- gorithms for COnsistent neural decoding (FALCON) benchmark.

Integrative neurocybernetic modeling in the era of large-scale neuroscience Few-shot al- gorithms for COnsistent neural decoding (FALCON) benchmark

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T20:38:01.262493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 4e29a145-bba7-4c7e-8fc9-72573c246c2d · outbound

This paper cites Spontaneous evolution of modularity and network motifs.Proceedings of the National Academy of Sciences, 102(39):13773–13778, September 2005.

Integrative neurocybernetic modeling in the era of large-scale neuroscience Spontaneous evolution of modularity and network motifs.Proceedings of the National Academy of Sciences, 102(39):13773–13778, September 2005

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 859580fe-f924-4284-9bc0-1ce7dce1df1b · outbound

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Integrative neurocybernetic modeling in the era of large-scale neuroscience Dynamic causal modelling for EEG and MEG.Cognitive neurodynam- ics, 2(2):121–136, June 2008

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T20:38:01.100420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 335f8fb3-a287-4757-a07e-b9e4830a6aac · outbound

This paper cites Cluster- ing units in neural networks: upstream vs downstream information.

Integrative neurocybernetic modeling in the era of large-scale neuroscience Cluster- ing units in neural networks: upstream vs downstream information

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T20:38:01.297156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation b5e0502c-9fec-448b-b971-b2aa909450e5 · outbound

This paper cites Connectome-constrained networks predict neural activity across the ﬂy visual system.Nature, 634:1132–1140.

Integrative neurocybernetic modeling in the era of large-scale neuroscience Connectome-constrained networks predict neural activity across the ﬂy visual system.Nature, 634:1132–1140

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T20:38:01.337036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 3f141c5a-1bff-4fd5-847e-e2e7f0b36888 · outbound

This paper cites an unresolved cited work.

Integrative neurocybernetic modeling in the era of large-scale neuroscience Unresolved cited work

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T20:38:01.242636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 1c38d94d-dff4-441e-8505-d66aa83ae6a9 · outbound

This paper cites Multitasking recurrent networks utilize compositional strategies for control of movement.bioRxiv, page 2025.09.10.675375, September 2025.

Integrative neurocybernetic modeling in the era of large-scale neuroscience Multitasking recurrent networks utilize compositional strategies for control of movement.bioRxiv, page 2025.09.10.675375, September 2025

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Resolution: malformed identifier; raw_fallback, observed 2026-05-26T20:38:01.265948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 956c477b-30b1-476b-80b5-53947413a3fe · outbound

This paper cites Oﬄine reinforcement learning: T utorial, review, and perspectives on open problems.arXiv [cs.LG], May 2020.

Integrative neurocybernetic modeling in the era of large-scale neuroscience Oﬄine reinforcement learning: T utorial, review, and perspectives on open problems.arXiv [cs.LG], May 2020

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T20:38:01.333524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation bc778f4b-a8c0-43c4-b173-35c6b412cbc6 · outbound

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Integrative neurocybernetic modeling in the era of large-scale neuroscience Hierarchical recurrent state space models reveal discrete and continuous dynamics of neural activity in C

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T20:38:01.069563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 7affd7c8-e2fd-4d4d-b60b-c628dd022146 · outbound

This paper cites What brain signals are suitable for feedback control of deep brain stimulation in parkinson’s disease? Annals of the New Y ork Academy of Sciences, 1265(1):9–24, August 2012.

Integrative neurocybernetic modeling in the era of large-scale neuroscience What brain signals are suitable for feedback control of deep brain stimulation in parkinson’s disease? Annals of the New Y ork Academy of Sciences, 1265(1):9–24, August 2012

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T20:38:01.105099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation b14deff2-27e8-46e5-a91b-08cc7fa37547 · outbound

This paper cites ZAPBench: A benchmark for whole-brain activity prediction in ze- braﬁsh.

Integrative neurocybernetic modeling in the era of large-scale neuroscience ZAPBench: A benchmark for whole-brain activity prediction in ze- braﬁsh

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T20:38:01.211016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation ea4f7ed8-fb21-4d5d-b81f-4d239b92ada8 · outbound

This paper cites Shenoy, and William T.

Integrative neurocybernetic modeling in the era of large-scale neuroscience Shenoy, and William T

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T20:38:01.157410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 3e956124-54c2-4fbf-9d30-091d2535511d · outbound

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Integrative neurocybernetic modeling in the era of large-scale neuroscience Joint modelling of brain and behaviour dynamics with artiﬁcial intelligence.Nature reviews

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation f3a644e3-7a0e-4161-88a7-3f84ae9d3939 · outbound

This paper cites Deep neuroethol- ogy of a virtual rodent.arXiv [q-bio.NC], November 2019.

Integrative neurocybernetic modeling in the era of large-scale neuroscience Deep neuroethol- ogy of a virtual rodent.arXiv [q-bio.NC], November 2019

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation d8b6f75c-57e7-4b6e-8490-6b0553d10617 · outbound

This paper cites Connectome-constrained latent variable model of whole-brain neural activity.

Integrative neurocybernetic modeling in the era of large-scale neuroscience Connectome-constrained latent variable model of whole-brain neural activity

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T20:38:01.245654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 4bae136c-23e0-48af-82d2-8576fd4b36e3 · outbound

This paper cites an unresolved cited work.

Integrative neurocybernetic modeling in the era of large-scale neuroscience Unresolved cited work

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T20:38:01.167389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 8f36df40-d106-4a74-9f19-ffaf19538bfa · outbound

This paper cites A rubric for human-like agents and NeuroAI.Philo- sophical Transactions of the Royal Society of London.

Integrative neurocybernetic modeling in the era of large-scale neuroscience A rubric for human-like agents and NeuroAI.Philo- sophical Transactions of the Royal Society of London

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T20:38:01.201527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 0f3d2194-6c73-4b32-8c53-f3f78e954083 · outbound

This paper cites Neurodynamical comput- ing at the information boundaries of intelligent systems.Cognitive computation, 16(5):1–13.

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation fa4fac6a-a8e6-41c4-8e24-bc4ed7741e80 · outbound

This paper cites The neural compu- tation of aﬀective internal states in the hypothalamus: A dynamical systems perspective.Neuron, 113(23):3887–3907, December 2025.

Integrative neurocybernetic modeling in the era of large-scale neuroscience The neural compu- tation of aﬀective internal states in the hypothalamus: A dynamical systems perspective.Neuron, 113(23):3887–3907, December 2025

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T20:38:01.306485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation ac4ee6de-b62f-4226-80a3-cd0491f7e1aa · outbound

This paper cites Continual learning via local module composition.

Integrative neurocybernetic modeling in the era of large-scale neuroscience Continual learning via local module composition

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T20:38:01.136106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 0f5a6a6b-9dd9-4160-8125-2ada19eee22c · outbound

This paper cites Individual variabil- ity of neural computations underlying ﬂexible decisions.Nature, 639 (8054):421–429.

Integrative neurocybernetic modeling in the era of large-scale neuroscience Individual variabil- ity of neural computations underlying ﬂexible decisions.Nature, 639 (8054):421–429

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T20:38:01.160774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 002dcdb7-4585-429d-a041-10e004d4670e · outbound

This paper cites Infer- ring single-trial neural population dynamics using sequential auto- encoders.Nat.

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 23e453c2-76bf-4dcf-89a0-ce52f9c67b3e · outbound

This paper cites Ferreira, et al.

Integrative neurocybernetic modeling in the era of large-scale neuroscience Ferreira, et al

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T20:38:01.131048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation aca1d029-6bb4-4f9d-88c1-957beb782959 · outbound

This paper cites Neural latents benchmark ’21: Evaluating latent variable models of neural population activ- ity.

Integrative neurocybernetic modeling in the era of large-scale neuroscience Neural latents benchmark ’21: Evaluating latent variable models of neural population activ- ity

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 82dcd820-ffdd-4789-9ed0-fc8b1b6ff1d4 · outbound

This paper cites A neural manifold view of the brain.Nature neuroscience, pages 1–16, July 2025.

Integrative neurocybernetic modeling in the era of large-scale neuroscience A neural manifold view of the brain.Nature neuroscience, pages 1–16, July 2025

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 39335d3a-2388-4cef-a75d-f647e36c02ef · outbound

This paper cites Connectome simulations identify a central pattern generator circuit for ﬂy walking.

Integrative neurocybernetic modeling in the era of large-scale neuroscience Connectome simulations identify a central pattern generator circuit for ﬂy walking

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 3cf6c567-ff0d-4be8-8a57-6b2d7a9bafb9 · outbound

This paper cites A generalist agent.

Integrative neurocybernetic modeling in the era of large-scale neuroscience A generalist agent

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T20:38:01.052730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation dc261cc1-7d51-44b2-bac0-79047d3208a4 · outbound

This paper cites Rezende, Shakir Mohamed, and Daan Wierstra.

Integrative neurocybernetic modeling in the era of large-scale neuroscience Rezende, Shakir Mohamed, and Daan Wierstra

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T20:38:00.925893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 4e8b4030-3827-4452-be68-846482784efb · outbound

This paper cites Syntactic compo- sition in neural systems.

Integrative neurocybernetic modeling in the era of large-scale neuroscience Syntactic compo- sition in neural systems

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T20:38:01.021258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 8a8c3036-53b2-48ee-8c23-bf8eb1eeac92 · outbound

This paper cites A reduction of imitation learning and structured prediction to no-regret online learning.

Integrative neurocybernetic modeling in the era of large-scale neuroscience A reduction of imitation learning and structured prediction to no-regret online learning

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T20:38:00.888909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 5a518e54-8c0d-41a1-adb3-dfbf3d3f851d · outbound

This paper cites New Y ork, Wiley.

Integrative neurocybernetic modeling in the era of large-scale neuroscience New Y ork, Wiley

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T20:38:01.316083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 09bf8513-09b3-4cdf-82ef-8603bb671b0d · outbound

This paper cites Learning nonlinear dynami- cal systems using the expectation-maximization algorithm.

Integrative neurocybernetic modeling in the era of large-scale neuroscience Learning nonlinear dynami- cal systems using the expectation-maximization algorithm

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T20:38:01.193223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation e0dd2469-23fc-4a49-a8ff-9b8b3447db16 · outbound

This paper cites Princeton University Press, December 2025.

Integrative neurocybernetic modeling in the era of large-scale neuroscience Princeton University Press, December 2025

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T20:38:01.031895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 732ba80d-5dfa-4b9d-81ae-056dea397079 · outbound

This paper cites Gen- eralizable, real-time neural decoding with hybrid state-space models.

Integrative neurocybernetic modeling in the era of large-scale neuroscience Gen- eralizable, real-time neural decoding with hybrid state-space models

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T20:38:00.955000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 4e071b88-223a-49e5-b89d-4f55d10952bb · outbound

This paper cites Preserved neu- ral dynamics across animals performing similar behaviour.Nature, 623(7988):765–771, November 2023.

Integrative neurocybernetic modeling in the era of large-scale neuroscience Preserved neu- ral dynamics across animals performing similar behaviour.Nature, 623(7988):765–771, November 2023

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T20:38:00.947238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation e6d62840-41e0-4d6e-a2b9-f73fa7433792 · outbound

This paper cites Cambridge University Press.

Integrative neurocybernetic modeling in the era of large-scale neuroscience Cambridge University Press

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T20:38:01.119307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 248129a9-a1f9-42f7-8d76-512c1716b7d0 · outbound

This paper cites T emporal parallelization of bayesian smoothers.IEEE Transactions on Automatic Control, 66(1): 299–306.

Integrative neurocybernetic modeling in the era of large-scale neuroscience T emporal parallelization of bayesian smoothers.IEEE Transactions on Automatic Control, 66(1): 299–306

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T20:38:01.011594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 52473c63-3924-404f-b0e0-f650a4f65a81 · outbound

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T20:38:01.279497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 6c7d9bc2-9442-4686-9304-f93a613162d3 · outbound

This paper cites Discovering mod- ular solutions that generalize compositionally.

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T20:38:01.190159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation e0780b2c-a673-4705-b7a3-88f2bdbcb6fa · outbound

This paper cites Homogenized $\textit{C. elegans}$ Neural Activity and Connectivity Data.

Integrative neurocybernetic modeling in the era of large-scale neuroscience Homogenized $\textit{C. elegans}$ Neural Activity and Connectivity Data

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Resolution: verified exact; arxiv_id, observed 2026-05-11T21:36:17.169693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation f9e55635-3f12-4b5d-9932-6c4624ae8282 · outbound

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T20:38:00.894931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation f19274b3-f6d8-433f-942f-be2699476b3b · outbound

This paper cites Simpli- ﬁed state space layers for sequence modeling.

Integrative neurocybernetic modeling in the era of large-scale neuroscience Simpli- ﬁed state space layers for sequence modeling

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T20:38:01.063430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation fe95785a-6497-4972-a1be-7eab1b822fc1 · outbound

This paper cites MABe22: A multi-species multi-task benchmark for learned representations of behavior.

Integrative neurocybernetic modeling in the era of large-scale neuroscience MABe22: A multi-species multi-task benchmark for learned representations of behavior

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation e765e7e9-78d7-473e-8a0c-7e2ce7811c80 · outbound

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T20:38:00.912122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 074da632-240d-42cf-9852-7985b6e275fb · outbound

This paper cites Neural circuits as computational dynamical systems.

Integrative neurocybernetic modeling in the era of large-scale neuroscience Neural circuits as computational dynamical systems

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T20:38:01.111011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation f6a8b6f6-a2bb-4dd6-a6b9-88adc373d567 · outbound

This paper cites an unresolved cited work.

Integrative neurocybernetic modeling in the era of large-scale neuroscience Unresolved cited work

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T20:38:00.917024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation c8455eb5-830c-49d9-ac8b-3511beb0d5d9 · outbound

This paper cites Data sharing for computational neuroscience.Neuroinformatics, 6(1):47–55, February 2008.

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T20:38:01.204632Z

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No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation c6256683-805e-4b1f-9e33-7d2b3daf30c8 · outbound

This paper cites Standardized and reproducible measurement of decision-making in mice.eLife, 10(biorxiv;2020.01.17.909838v4): e63711, May 2021.

Integrative neurocybernetic modeling in the era of large-scale neuroscience Standardized and reproducible measurement of decision-making in mice.eLife, 10(biorxiv;2020.01.17.909838v4): e63711, May 2021

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T20:38:00.921279Z

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Observation 7492845f-639d-42e0-8238-5d6455ddfc24 · outbound

This paper cites Extract- ing computational mechanisms from neural data using low-rank RNNs.

Integrative neurocybernetic modeling in the era of large-scale neuroscience Extract- ing computational mechanisms from neural data using low-rank RNNs

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T20:38:01.326660Z

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No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 79c6f2aa-19ea-4e2b-89ba-0437accc3571 · outbound

This paper cites The dynamical hypothesis in cognitive science.The behavioral and brain sciences, 21:615–628, October 1998.

Integrative neurocybernetic modeling in the era of large-scale neuroscience The dynamical hypothesis in cognitive science.The behavioral and brain sciences, 21:615–628, October 1998

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T20:38:01.213949Z

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Observation 3c76a89c-e31b-448b-b141-a1df5f0da33f · outbound

This paper cites Whole-body physics simulation of fruit ﬂy locomotion.Nature, 643:1312–1320, April 2025.

Integrative neurocybernetic modeling in the era of large-scale neuroscience Whole-body physics simulation of fruit ﬂy locomotion.Nature, 643:1312–1320, April 2025

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T20:38:01.309707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 22ec3258-27db-4d54-90f8-7ef1e326eb02 · outbound

This paper cites Real-time machine learning strategies for a new kind of neuroscience experi- ments.

Integrative neurocybernetic modeling in the era of large-scale neuroscience Real-time machine learning strategies for a new kind of neuroscience experi- ments

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T20:38:01.272851Z

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Observation c543ce9d-74d8-4ec5-bbe6-bfff65bcbb66 · outbound

This paper cites Meta-dynamical state space models for in- tegrative neural data analysis.

Integrative neurocybernetic modeling in the era of large-scale neuroscience Meta-dynamical state space models for in- tegrative neural data analysis

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Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T20:38:01.251676Z

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