Paper Citation Record · LEDGER

Data-Driven Predictive Modeling of Neuronal Dynamics using Long Short-Term Memory

As of 20 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:1908.07428.

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

pith.paper-citation-record.v1
1908.07428 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:03:26.184050Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

43 of 43 outbound references displayed

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verified fuzzy33
unresolved10
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a5f852a0-d123-4040-863c-9bcddfd8c04c · outbound

This paper cites Dynamics of brain activation during picture naming.

Data-Driven Predictive Modeling of Neuronal Dynamics using Long Short-Term Memory Dynamics of brain activation during picture naming

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:03:27.027821Z

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Observation b43e17ef-bd6e-4564-93bd-fbb00e78ce91 · outbound

This paper cites The human brain is intrinsically organized into dynamic, anticorrelated functional networks.

Data-Driven Predictive Modeling of Neuronal Dynamics using Long Short-Term Memory The human brain is intrinsically organized into dynamic, anticorrelated functional networks

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:03:27.008980Z

Source-reported events for the cited work

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Observation 10d64e0e-5457-4a5a-92ae-a85416a79518 · outbound

This paper cites A hierarchy of time-scales and the brain.

Data-Driven Predictive Modeling of Neuronal Dynamics using Long Short-Term Memory A hierarchy of time-scales and the brain

Reference 3

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Observation acc02470-c9cc-4da0-9afb-da07a18c7972 · outbound

This paper cites Cambridge University Press, 2014.

Data-Driven Predictive Modeling of Neuronal Dynamics using Long Short-Term Memory Cambridge University Press, 2014

Reference 4

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Source-reported events for the cited work

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Observation 8cbc1fd8-9f17-463d-a70c-8c04a9f1b8f9 · outbound

This paper cites Multiscale modeling of brain dynamics: from single neurons and networks to mathematical tools.

Data-Driven Predictive Modeling of Neuronal Dynamics using Long Short-Term Memory Multiscale modeling of brain dynamics: from single neurons and networks to mathematical tools

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:03:26.960282Z

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Observation 2bed98b0-d6f0-48aa-8a71-6972d654f9a7 · outbound

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

Data-Driven Predictive Modeling of Neuronal Dynamics using Long Short-Term Memory Dynamic models of large-scale brain activity

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:03:26.931771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ea9338c0-0c2e-4e68-9122-70ccfc710c2c · outbound

This paper cites Modeling single-neuron dynamics and computations: a balance of detail and abstraction.

Data-Driven Predictive Modeling of Neuronal Dynamics using Long Short-Term Memory Modeling single-neuron dynamics and computations: a balance of detail and abstraction

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:03:26.895311Z

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Observation d915a0ee-8977-408d-b0ae-862fd7c6de07 · outbound

This paper cites How good are neuron models? Science, 326(5951):379–380, 2009.

Data-Driven Predictive Modeling of Neuronal Dynamics using Long Short-Term Memory How good are neuron models? Science, 326(5951):379–380, 2009

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:03:26.874124Z

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Observation 06dfb72d-8d0d-46c6-8452-26f40928d5ea · outbound

This paper cites Neural networks for nonlinear dynamic system modelling and identiﬁcation.

Data-Driven Predictive Modeling of Neuronal Dynamics using Long Short-Term Memory Neural networks for nonlinear dynamic system modelling and identiﬁcation

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:03:26.853123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2646553e-db4d-40b2-b7a0-019f21ca2732 · outbound

This paper cites Nonlinear system identiﬁcation using neural networks.

Data-Driven Predictive Modeling of Neuronal Dynamics using Long Short-Term Memory Nonlinear system identiﬁcation using neural networks

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:03:26.835953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0c187e80-0e69-4236-bdfc-c036d4909ffd · outbound

This paper cites Application of feedforward neural networks to dynamical system identiﬁcation and control.

Data-Driven Predictive Modeling of Neuronal Dynamics using Long Short-Term Memory Application of feedforward neural networks to dynamical system identiﬁcation and control

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:03:26.818117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d16a089e-1a93-488c-b0ed-03f8cda25f3d · outbound

This paper cites Long-time predictive modeling of nonlinear dynamical systems using neural networks.

Data-Driven Predictive Modeling of Neuronal Dynamics using Long Short-Term Memory Long-time predictive modeling of nonlinear dynamical systems using neural networks

Reference 12

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Observation f3186e23-33a0-4052-8957-a33a0fde5b67 · outbound

This paper cites Modeling robot dynamics using dynamic neural networks.

Data-Driven Predictive Modeling of Neuronal Dynamics using Long Short-Term Memory Modeling robot dynamics using dynamic neural networks

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:03:26.770881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation faa574a4-4d6e-4d97-8b06-16f8af619f41 · outbound

This paper cites Identiﬁcation of nonlinear dynamic systems using functional link artiﬁcial neural networks.

Data-Driven Predictive Modeling of Neuronal Dynamics using Long Short-Term Memory Identiﬁcation of nonlinear dynamic systems using functional link artiﬁcial neural networks

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:03:26.750914Z

Source-reported events for the cited work

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Observation dc5271d3-24aa-40b2-b1ed-ff42e075add6 · outbound

This paper cites Neural network dynamics for model- based deep reinforcement learning with model-free ﬁne-tuning.

Data-Driven Predictive Modeling of Neuronal Dynamics using Long Short-Term Memory Neural network dynamics for model- based deep reinforcement learning with model-free ﬁne-tuning

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:03:26.732082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d5e876f4-ee3c-49f7-90cc-bcb9e456d5f0 · outbound

This paper cites Harnessing nonlinearity: Predicting chaotic systems and saving energy in wireless communication.

Data-Driven Predictive Modeling of Neuronal Dynamics using Long Short-Term Memory Harnessing nonlinearity: Predicting chaotic systems and saving energy in wireless communication

Reference 16

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Source-reported events for the cited work

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Observation a03c83d1-2941-4a05-ac5d-4d6e359f1853 · outbound

This paper cites A recurrent neural network for modelling dynamical systems.

Data-Driven Predictive Modeling of Neuronal Dynamics using Long Short-Term Memory A recurrent neural network for modelling dynamical systems

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:03:26.698008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 25e741a8-c8ae-4cc5-aa44-7ce99cbf61cd · outbound

This paper cites Deepmpc: Learning deep latent features for model predictive control.

Data-Driven Predictive Modeling of Neuronal Dynamics using Long Short-Term Memory Deepmpc: Learning deep latent features for model predictive control

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:03:26.677142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6b3a0cf2-5f58-473d-9e76-bea29542d652 · outbound

This paper cites On the difﬁculty of training recurrent neural networks.

Data-Driven Predictive Modeling of Neuronal Dynamics using Long Short-Term Memory On the difﬁculty of training recurrent neural networks

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:03:26.656615Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9628240d-3f91-43de-b5f7-4d3fcdc01b6d · outbound

This paper cites Multistep prediction of dynamic systems with recurrent neural networks.

Data-Driven Predictive Modeling of Neuronal Dynamics using Long Short-Term Memory Multistep prediction of dynamic systems with recurrent neural networks

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:03:26.632965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 17fc5ddc-16d6-4788-96b5-699cec304af2 · outbound

This paper cites Deep learning-based human-driven vehicle trajectory prediction and its application for platoon control of connected and autonomous vehicles.

Data-Driven Predictive Modeling of Neuronal Dynamics using Long Short-Term Memory Deep learning-based human-driven vehicle trajectory prediction and its application for platoon control of connected and autonomous vehicles

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:03:26.614246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9db9aa6d-b103-46cc-bf56-8afae8f40d0c · outbound

This paper cites Non-linear system modeling using lstm neural networks.

Data-Driven Predictive Modeling of Neuronal Dynamics using Long Short-Term Memory Non-linear system modeling using lstm neural networks

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:03:26.597352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c1c17e98-239a-491d-9307-1aadc8343df4 · outbound

This paper cites A new concept using LSTM neural networks for dynamic system identiﬁcation.

Data-Driven Predictive Modeling of Neuronal Dynamics using Long Short-Term Memory A new concept using LSTM neural networks for dynamic system identiﬁcation

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:03:26.579424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 07f34e25-c16a-4ebc-b74b-879de4f855ee · outbound

This paper cites Data-driven forecasting of high-dimensional chaotic systems with long short-term memory networks.

Data-Driven Predictive Modeling of Neuronal Dynamics using Long Short-Term Memory Data-driven forecasting of high-dimensional chaotic systems with long short-term memory networks

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:03:26.563338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 03d09a21-1876-407c-985c-66c2461e7a15 · outbound

This paper cites Long short-term memory.

Data-Driven Predictive Modeling of Neuronal Dynamics using Long Short-Term Memory Long short-term memory

Reference 25

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Source-reported events for the cited work

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Observation c816e86f-779d-49ec-995b-2f503243cb62 · outbound

This paper cites Understanding the difﬁculty of training deep feedforward neural networks.

Data-Driven Predictive Modeling of Neuronal Dynamics using Long Short-Term Memory Understanding the difﬁculty of training deep feedforward neural networks

Reference 26

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Observation 0a12edbe-6352-47da-9b96-766a1f7067d0 · outbound

This paper cites Sequence to sequence learning with neural networks.

Data-Driven Predictive Modeling of Neuronal Dynamics using Long Short-Term Memory Sequence to sequence learning with neural networks

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-14T14:03:26.096439Z

Source-reported events for the cited work

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Observation b5da8ab6-c78b-480a-adc1-1cfa26735c77 · outbound

This paper cites CA1 pyramidal cells have diverse biophysical properties, affected by development, experience, and aging.

Data-Driven Predictive Modeling of Neuronal Dynamics using Long Short-Term Memory CA1 pyramidal cells have diverse biophysical properties, affected by development, experience, and aging

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:03:26.505629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2f7b7bc9-d937-4346-b38b-127e7b876694 · outbound

This paper cites Contribution of persistent na+ current and m-type k+ current to somatic bursting in ca1 pyramidal cells: combined experimental and modeling study.

Data-Driven Predictive Modeling of Neuronal Dynamics using Long Short-Term Memory Contribution of persistent na+ current and m-type k+ current to somatic bursting in ca1 pyramidal cells: combined experimental and modeling study

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:03:26.487560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2366064f-afc1-4f60-866c-33f994bfe86a · outbound

This paper cites A uniﬁed model of CA1/3 pyramidal cells: An investigation into excitability.

Data-Driven Predictive Modeling of Neuronal Dynamics using Long Short-Term Memory A uniﬁed model of CA1/3 pyramidal cells: An investigation into excitability

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:03:26.467858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 22923d4f-63ce-4401-b6a3-035c35193a94 · outbound

This paper cites Simple, biologically-constrained CA1 pyramidal cell models using an intact, whole hippocampus context.

Data-Driven Predictive Modeling of Neuronal Dynamics using Long Short-Term Memory Simple, biologically-constrained CA1 pyramidal cell models using an intact, whole hippocampus context

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:03:26.449867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9055e361-d79b-4fe6-857c-9706b3316c87 · outbound

This paper cites Arithmetic of subthreshold synaptic summation in a model CA1 pyramidal cell.

Data-Driven Predictive Modeling of Neuronal Dynamics using Long Short-Term Memory Arithmetic of subthreshold synaptic summation in a model CA1 pyramidal cell

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:03:26.432766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3511dcad-d367-45e7-b3ac-c259d349852c · outbound

This paper cites Role of ax- onal NaV1.

Data-Driven Predictive Modeling of Neuronal Dynamics using Long Short-Term Memory Role of ax- onal NaV1

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:03:26.413069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f731c890-d23c-4e28-a8e9-41027874ae5e · outbound

This paper cites Synapse distribution suggests a two-stage model of dendritic integration in CA1 pyramidal neurons.Neuron, 63(2):171–177, 2009.

Data-Driven Predictive Modeling of Neuronal Dynamics using Long Short-Term Memory Synapse distribution suggests a two-stage model of dendritic integration in CA1 pyramidal neurons.Neuron, 63(2):171–177, 2009

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:03:26.389515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0f7794df-764f-4216-b4e7-2feb1d85bd33 · outbound

This paper cites On the mechanisms underlying the depolarization block in the spiking dynamics of CA1 pyramidal neurons.

Data-Driven Predictive Modeling of Neuronal Dynamics using Long Short-Term Memory On the mechanisms underlying the depolarization block in the spiking dynamics of CA1 pyramidal neurons

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:03:26.370614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation afbfb7c3-3149-4c58-bc77-4aa810da6e74 · outbound

This paper cites Fast and accurate low-dimensional reduction of biophysically detailed neuron models.

Data-Driven Predictive Modeling of Neuronal Dynamics using Long Short-Term Memory Fast and accurate low-dimensional reduction of biophysically detailed neuron models

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:03:26.352344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 71075af5-47ee-44b9-8e23-48fd46a29490 · outbound

This paper cites Dendritic sodium spikes are required for long-term potentiation at distal synapses on hippocampal pyramidal neurons.

Data-Driven Predictive Modeling of Neuronal Dynamics using Long Short-Term Memory Dendritic sodium spikes are required for long-term potentiation at distal synapses on hippocampal pyramidal neurons

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:03:26.334196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 45d9339d-05d5-4fbc-8f4a-0b178814eb67 · outbound

This paper cites Interneuronal mechanisms of hippocampal theta oscillations in a full-scale model of the rodent CA1 circuit.

Data-Driven Predictive Modeling of Neuronal Dynamics using Long Short-Term Memory Interneuronal mechanisms of hippocampal theta oscillations in a full-scale model of the rodent CA1 circuit

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:03:26.317398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7f0efe8b-1d67-43e7-9189-c5011ab66763 · outbound

This paper cites Generalization of backpropagation with application to a recurrent gas market model.

Data-Driven Predictive Modeling of Neuronal Dynamics using Long Short-Term Memory Generalization of backpropagation with application to a recurrent gas market model

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-14T14:03:26.160655Z

Source-reported events for the cited work

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Observation 90c01be8-5219-42b2-9516-e8946ffacf40 · outbound

This paper cites Backpropagation through time: what it does and how to do it.

Data-Driven Predictive Modeling of Neuronal Dynamics using Long Short-Term Memory Backpropagation through time: what it does and how to do it

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:03:26.287181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 71e623c5-beba-4c7d-9cb4-f076af7e6bbe · outbound

This paper cites A focused backpropagation algorithm for temporal.

Data-Driven Predictive Modeling of Neuronal Dynamics using Long Short-Term Memory A focused backpropagation algorithm for temporal

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-14T14:03:26.171574Z

Source-reported events for the cited work

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Observation 5515073e-1923-49c0-88ba-fd1f407a8c66 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Data-Driven Predictive Modeling of Neuronal Dynamics using Long Short-Term Memory Adam: A Method for Stochastic Optimization

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-14T14:03:26.177324Z

Source-reported events for the cited work

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Observation f222f695-5e76-4860-b231-d7164462c8f9 · outbound

This paper cites HH Model.

Data-Driven Predictive Modeling of Neuronal Dynamics using Long Short-Term Memory HH Model

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:03:26.252890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

No inbound Pith citation observations are available.