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Paper Citation Record · LEDGER

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher

As of 8 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 0 inbound Pith citation observations for arXiv:2506.20834.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2506.20834 v1

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measured 53 of 53 reference resolution

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measured 0 of 0 inbound itemization

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Reference resolution

53 of 53 outbound references displayed

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Outbound references

Observation 771cc9e9-c3a3-467f-ad8f-56076807b831 · outbound

This paper cites A neural net- work that finds a naturalistic solution for the production of muscle activity.Nature Neuroscience, 18(7):1025–1033, 2015.

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher A neural net- work that finds a naturalistic solution for the production of muscle activity.Nature Neuroscience, 18(7):1025–1033, 2015

Reference 1

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Observation cca0c80d-217c-42c3-bc7a-02badf6cf294 · outbound

This paper cites On simplicity and complexity in the brave new world of large-scale neuroscience.Current opinion in neurobiology, 32:148–155, 2015.

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher On simplicity and complexity in the brave new world of large-scale neuroscience.Current opinion in neurobiology, 32:148–155, 2015

Reference 2

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Observation 6a9ba481-5254-4268-8bb7-c750edd0f151 · outbound

This paper cites Neural manifolds for the control of movement.Neuron, 94(5):978–984, 2017.

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher Neural manifolds for the control of movement.Neuron, 94(5):978–984, 2017

Reference 3

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Observation c25bfcda-2fa6-42ca-b8fd-9d059dad1dac · outbound

This paper cites The geometry of abstraction in the hippocampus and prefrontal cortex.Cell, 183(4):954–967, 2020.

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher The geometry of abstraction in the hippocampus and prefrontal cortex.Cell, 183(4):954–967, 2020

Reference 4

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Observation 59acaa62-e20c-4a3a-aa09-b325b2bd029a · outbound

This paper cites Semi-orthogonal subspaces for value mediate a binding and generalization trade-off.

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher Semi-orthogonal subspaces for value mediate a binding and generalization trade-off

Reference 5

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Observation d2119112-7fa1-4ce5-b3af-07a2c748389c · outbound

This paper cites Performance-optimized hierarchical models predict neural responses in higher visual cortex.Proceedings of the national academy of sciences, 111(23):8619–8624, 2014.

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher Performance-optimized hierarchical models predict neural responses in higher visual cortex.Proceedings of the national academy of sciences, 111(23):8619–8624, 2014

Reference 6

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Observation 626eae3e-cb0f-469f-98c5-6c1cdf7d1d87 · outbound

This paper cites Brain encoding models based on multimodal transformers can transfer across language and vision.Advances in neural information processing systems, 36:29654–29666, 2023.

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher Brain encoding models based on multimodal transformers can transfer across language and vision.Advances in neural information processing systems, 36:29654–29666, 2023

Reference 7

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Observation 9ccd5284-61ec-4ae0-bdbb-7e5195cbd3b2 · outbound

This paper cites Semantic reconstruction of continuous language from non-invasive brain recordings.Nature Neuroscience, 26(5):858–866, 2023.

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher Semantic reconstruction of continuous language from non-invasive brain recordings.Nature Neuroscience, 26(5):858–866, 2023

Reference 8

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Observation 2b836a7f-7891-4a69-ad49-e982d11e3e8e · outbound

This paper cites A unifying framework for functional organization in early and higher ventral visual cortex.Neuron, 112(14):2435–2451, 2024.

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher A unifying framework for functional organization in early and higher ventral visual cortex.Neuron, 112(14):2435–2451, 2024

Reference 9

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Observation 13afd533-7be6-47a1-9302-80509a34af80 · outbound

This paper cites Explanatory models in neuroscience, part 1: Taking mechanistic abstraction seriously.Cognitive Systems Research, 87:101244, 2024.

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher Explanatory models in neuroscience, part 1: Taking mechanistic abstraction seriously.Cognitive Systems Research, 87:101244, 2024

Reference 10

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Observation d854e06f-f447-4bab-9959-e11019e6196e · outbound

This paper cites Deep residual learning for image recognition.

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher Deep residual learning for image recognition

Reference 11

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Observation 05821a50-769a-445a-aa88-1551347532e1 · outbound

This paper cites Searching for mobilenetv3.

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher Searching for mobilenetv3

Reference 12

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Observation 0db28c34-aeac-481f-bf67-7f92219cc3d8 · outbound

This paper cites Learning transferable visual models from natural language supervision.

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher Learning transferable visual models from natural language supervision

Reference 13

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Observation 717da737-dfa4-4f95-a77b-76fb6052889b · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher DINOv2: Learning Robust Visual Features without Supervision

Reference 14

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Observation ec29e5ea-be30-4ed5-a4b9-7ad137b8438d · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 15

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Observation 3d8beb70-ea39-4af5-9bde-9a345a7638c3 · outbound

This paper cites TweetEval: Unified Benchmark and Comparative Evaluation for Tweet Classification.

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher TweetEval: Unified Benchmark and Comparative Evaluation for Tweet Classification

Reference 16

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Observation f8836125-d862-4b9b-9472-b07c37eacace · outbound

This paper cites GPT-4 Technical Report.

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher GPT-4 Technical Report

Reference 17

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Observation 74e31168-16b9-4b04-b8d9-d41b64c11b98 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher LLaMA: Open and Efficient Foundation Language Models

Reference 18

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Observation 456729f9-623a-4c38-a225-22dc0c7d5d98 · outbound

This paper cites DeepSeek-V3 Technical Report.

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher DeepSeek-V3 Technical Report

Reference 19

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Observation 32ee90ca-4545-4208-a766-4c10b05f52d7 · outbound

This paper cites Human-level control through deep reinforcement learning.nature, 518(7540):529–533, 2015.

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher Human-level control through deep reinforcement learning.nature, 518(7540):529–533, 2015

Reference 20

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Observation 581417d8-cd0f-4f70-a6b8-736fddbcba97 · outbound

This paper cites Mastering the game of go without human knowledge.Nature, 550(7676):354–359, 2017.

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher Mastering the game of go without human knowledge.Nature, 550(7676):354–359, 2017

Reference 21

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This paper cites A general reinforcement learning algorithm that masters chess, shogi, and go through self-play.Science, 362(6419):1140–1144, 2018.

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher A general reinforcement learning algorithm that masters chess, shogi, and go through self-play.Science, 362(6419):1140–1144, 2018

Reference 22

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Observation 187c09db-fa71-42c8-a873-7441b07aae34 · outbound

This paper cites Building machines that learn and think like people.Behavioral and brain sciences, 40:e253, 2017.

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher Building machines that learn and think like people.Behavioral and brain sciences, 40:e253, 2017

Reference 23

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This paper cites Human few-shot learning of compositional instructions.

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher Human few-shot learning of compositional instructions

Reference 24

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Observation 7aa906b6-aef5-473d-a0d5-2a64278ede9e · outbound

This paper cites Heterogeneous domain adaptation using manifold alignment.

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher Heterogeneous domain adaptation using manifold alignment

Reference 25

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Observation 7cb94949-a45e-4ca0-82e6-fe3630c34544 · outbound

This paper cites Learning with Augmented Features for Heterogeneous Domain Adaptation.

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher Learning with Augmented Features for Heterogeneous Domain Adaptation

Reference 26

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This paper cites Hybrid heterogeneous transfer learning through deep learning.

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher Hybrid heterogeneous transfer learning through deep learning

Reference 27

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Observation 221929d4-e73b-4b9d-8147-c69fd43acd20 · outbound

This paper cites A survey of transfer learning.Journal of Big Data, 3:1–40, 2016.

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher A survey of transfer learning.Journal of Big Data, 3:1–40, 2016

Reference 28

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Observation 13c0eb3c-bf3c-4b4b-a59f-de1c50223fd0 · outbound

This paper cites A survey on deep transfer learning.

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher A survey on deep transfer learning

Reference 29

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Observation 383ba25a-f381-499f-83c8-a2039964a560 · outbound

This paper cites Transfer learning via inter-task mappings for temporal difference learning.Journal of Machine Learning Research, 8(9), 2007.

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher Transfer learning via inter-task mappings for temporal difference learning.Journal of Machine Learning Research, 8(9), 2007

Reference 30

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Observation 801ebc78-68c7-49e7-9ecb-582ece27f3b8 · outbound

This paper cites Learning from limited demonstrations.Advances in Neural Information Processing Systems, 26, 2013.

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher Learning from limited demonstrations.Advances in Neural Information Processing Systems, 26, 2013

Reference 31

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Observation feb3a719-1722-4af3-b01a-acec26911b25 · outbound

This paper cites Distilling policy distillation.

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher Distilling policy distillation

Reference 32

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Observation 40e65edf-a42b-4632-86e2-c04eed5e120e · outbound

This paper cites Transfer learning in deep reinforce- ment learning: A survey.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(11):13344–13362, 2023.

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher Transfer learning in deep reinforce- ment learning: A survey.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(11):13344–13362, 2023

Reference 33

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Observation 0867265a-da73-493f-a18b-9d6b9cc48c33 · outbound

This paper cites A survey on transfer learning.IEEE Transactions on Knowledge and Data Engineering, 22(10):1345–1359, 2010.

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher A survey on transfer learning.IEEE Transactions on Knowledge and Data Engineering, 22(10):1345–1359, 2010

Reference 34

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Observation 966f0985-4924-48a6-82ac-b4c1c6edefbb · outbound

This paper cites Representational distance learning for deep neural networks.Frontiers in Computational Neuroscience, 10:131, 2016.

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher Representational distance learning for deep neural networks.Frontiers in Computational Neuroscience, 10:131, 2016

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:43:58.495562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:43:54.455585Z digest=sha256:9b015ca0b996512871bddf42b2f837f274774bf79b21d571cc18884558a0b834

Observation 1faefe6d-86f7-4441-975c-4520be6ef789 · outbound

This paper cites Using human brain activity to guide machine learning.Scientific Reports, 8(1):5397, 2018.

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher Using human brain activity to guide machine learning.Scientific Reports, 8(1):5397, 2018

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:43:58.414173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:43:54.523611Z digest=sha256:353155e33924f5ac3a015b4338a8fe0b83ca1c0d73637c942d96a3c6cfc02afc

Observation 761546df-02cb-4722-80b6-ee81141a5a35 · outbound

This paper cites Brain-mediated transfer learning of convolutional neural networks.

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher Brain-mediated transfer learning of convolutional neural networks

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:43:58.314514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:43:54.587967Z digest=sha256:9afdc417bcfc8ec94b9e460cd5c7e2e97695229f186bd2176d0745c0df3a297f

Observation 56989b21-1d2c-4670-8239-b7c56d26b077 · outbound

This paper cites Towards personalized human AI interaction - adapting the behavior of AI agents using neural signatures of subjective interest.

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher Towards personalized human AI interaction - adapting the behavior of AI agents using neural signatures of subjective interest

Reference 38

Resolution
verified exact
local_arxiv, observed 2026-08-06T22:43:56.123253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:43:54.655082Z digest=sha256:a94ad65f656a8a9cacc5a4611b8f2e438d7231de801fa556108fc1a26d071155

Observation 7c0bc72c-488b-4a41-9c40-fa681a9a444c · outbound

This paper cites Systems and methods for deep reinforcement learning using a brain-artificial intelligence interface, September 12 2023.

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher Systems and methods for deep reinforcement learning using a brain-artificial intelligence interface, September 12 2023

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:43:58.215506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:43:54.755049Z digest=sha256:90d7c8ad4ef806fd96291a9f2127fff1e7cf00c8bdc39472365dc16ca59dbe7c

Observation 9b9c08d3-b67e-4ec1-9c39-20a51ee431cc · outbound

This paper cites Alignment with human representations supports robust few-shot learning.Advances in Neural Information Processing Systems, 36:73464–73479, 2023.

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher Alignment with human representations supports robust few-shot learning.Advances in Neural Information Processing Systems, 36:73464–73479, 2023

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:43:58.094195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:43:54.824904Z digest=sha256:1a865a0c89287547fd69d1f009db1be403f286e7775ecb6346cfa279ab87d50c

Observation 9375c5eb-842f-4347-9684-8aeae5b451c9 · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher Representation Learning with Contrastive Predictive Coding

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-06T22:43:54.888714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:43:54.888714Z digest=sha256:6f1dd80169239bc3edaf279088afacc721dbdc1b68f027cfc1824431ef619fc9

Observation 1d6166f5-1a21-4ad6-9409-bc6a2e1b83de · outbound

This paper cites A simple framework for contrastive learning of visual representations.

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher A simple framework for contrastive learning of visual representations

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-06T22:43:54.986755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:43:54.986755Z digest=sha256:4f9ea66fbafe0963fd6f0c5bdddd30f677b1c63eecfd505f8bf006fbb68455a7

Observation 15c4ae65-99e9-40d1-8a7b-56acfe2d60f2 · outbound

This paper cites Widespread temporal coding of cognitive control in the human prefrontal cortex.Nature Neuroscience, 22(11):1883–1891, 2019.

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher Widespread temporal coding of cognitive control in the human prefrontal cortex.Nature Neuroscience, 22(11):1883–1891, 2019

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:43:57.994720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:43:55.054429Z digest=sha256:b3689070c8fc3000150d46e980be5cc1cc85f80c992b147ec715f1bfeb27186c

Observation b9105be4-9e2d-4751-9bca-49a0975c9c2d · outbound

This paper cites Dynamic categorization rules alter representations in human visual cortex.Nature Communications, 16:3459, 2025.

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher Dynamic categorization rules alter representations in human visual cortex.Nature Communications, 16:3459, 2025

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:43:57.903786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:43:55.135886Z digest=sha256:dd2d857548262c59a7b45173c0b400b151528f278af93fab81ff600887159a9c

Observation 2fe35309-2c3d-4c87-8b6e-b7674c42b5ae · outbound

This paper cites Learning and language in the unconscious human hippocampus.bioRxiv, pages 2025–04, 2025.

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher Learning and language in the unconscious human hippocampus.bioRxiv, pages 2025–04, 2025

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:43:57.789884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:43:55.211248Z digest=sha256:244fa1a2569ad19b05a2a7ab1360cbd474c21b27abc58a5299b63c0b71c58dfd

Observation 7fe9492f-5cb9-40fd-b4e1-33d6c8d7a45d · outbound

This paper cites Neurons in human pre-supplementary motor area encode key computations for value-based choice.Nature Human Behaviour, 7(6):970–985, 2023.

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher Neurons in human pre-supplementary motor area encode key computations for value-based choice.Nature Human Behaviour, 7(6):970–985, 2023

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:43:57.704421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:43:55.274763Z digest=sha256:d68215f776707e29d1d4954ca02a64f2c241e679215b73cb1f078f2a783f1dfe

Observation a772e154-f51c-487e-8223-41fd137efbf5 · outbound

This paper cites Unsupervised spike detection and sorting with wavelets and superparamagnetic clustering.Neural Computation, 16(8):1661–1687, 2004.

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher Unsupervised spike detection and sorting with wavelets and superparamagnetic clustering.Neural Computation, 16(8):1661–1687, 2004

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:43:57.535548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:43:55.346099Z digest=sha256:a41fe2b82071bf22cacefa6e4c5d8afccffc42d6b3b0799044c166420053a66d

Observation 3494ea14-f6e8-4202-8e0d-4431808de855 · outbound

This paper cites Learnable latent embeddings for joint behavioural and neural analysis.Nature, pages 1–9, 2023.

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher Learnable latent embeddings for joint behavioural and neural analysis.Nature, pages 1–9, 2023

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:43:57.367942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:43:55.424101Z digest=sha256:11f6ef01c4fcbe4c903fa12f3fe2bb327ba653f8100d89fa076de25c9b0f5bd1

Observation d9cbc5d3-578c-456d-86be-a24a2602255f · outbound

This paper cites Explicit regularisation in gaussian noise injections.Advances in Neural Information Processing Systems, 33:16603–16614, 2020.

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher Explicit regularisation in gaussian noise injections.Advances in Neural Information Processing Systems, 33:16603–16614, 2020

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:43:57.174052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:43:55.535828Z digest=sha256:313933d229222bb8436673ee8bcf04e10f28dd91c8551eb2017bd9fed88da8c8

Observation f8364da7-e321-460e-9dd6-f54123edc4d9 · outbound

This paper cites Random noise promotes slow heterogeneous synaptic dynamics important for robust working memory computation.Proceedings of the National Academy of Sciences, 122(3):e2316745122, 2025.

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher Random noise promotes slow heterogeneous synaptic dynamics important for robust working memory computation.Proceedings of the National Academy of Sciences, 122(3):e2316745122, 2025

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:43:57.038499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:43:55.594851Z digest=sha256:020f0d98bcb2ea8b5e574d7f33a365562fe4222e0a2ad27489081b3a57fee5b8

Observation 9224f9c8-7385-4d0e-a375-6fe919fa0ecb · outbound

This paper cites Pupil-linked arousal correlates with neural activity prior to sensorimotor decisions.Journal of Neural Engineering, 20(6):066031, 2023.

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher Pupil-linked arousal correlates with neural activity prior to sensorimotor decisions.Journal of Neural Engineering, 20(6):066031, 2023

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:43:56.871790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:43:55.716374Z digest=sha256:b764fca17b9c061925638e04760ffe8d45d697d1a6efef41cfcf47aed76f8cfa

Observation db81304e-299e-40d6-bdcf-e8b0e12734af · outbound

This paper cites Implementing a deep reinforcement learning model for autonomous driving.

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher Implementing a deep reinforcement learning model for autonomous driving

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:43:56.665672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:43:55.802362Z digest=sha256:ee46c665ad75ea607824c19c3f83c3678e37fab4aab94c12db04ee8c0c966129

Observation 24c07a3f-68af-4dd7-812e-f66946898881 · outbound

This paper cites CARLA: An open urban driving simulator.

Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher CARLA: An open urban driving simulator

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:43:56.475052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:43:55.879167Z digest=sha256:0405d971ad78115414b4c71524e96694187b775f2c324367fed090675377bd5b

Pith citing papers

No inbound Pith citation observations are available.