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Paper Citation Record · LEDGER

Comparing noisy neural population dynamics using optimal transport distances

As of 22 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 2 inbound Pith citation observations for arXiv:2412.14421.

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

pith.paper-citation-record.v1
2412.14421 v1

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:21:29.843578Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:51:43.160396Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

47 of 47 outbound references displayed

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External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation a6e79ef0-75ba-4d61-8819-9090ca633767 · outbound

This paper cites write newline.

Comparing noisy neural population dynamics using optimal transport distances write newline

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T12:21:29.671165Z digest=sha256:5867a0d2ff486b0d68e836ada343ed981f5241b58cf66a7ee57db4c5acaee0e2

Observation 34da6a17-5a9e-411d-b999-ee83fce332c1 · outbound

This paper cites Neural correlations, population coding and computation.

Comparing noisy neural population dynamics using optimal transport distances Neural correlations, population coding and computation

Reference 2

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Observation ccf42c14-67a1-4e05-95dd-da21e8d5a19d · outbound

This paper cites Causal transport in discrete time and applications.

Comparing noisy neural population dynamics using optimal transport distances Causal transport in discrete time and applications

Reference 3

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Observation 69c81f8a-579c-4d45-ab82-60b8e2634b82 · outbound

This paper cites Estimating processes in adapted W asserstein distance.

Comparing noisy neural population dynamics using optimal transport distances Estimating processes in adapted W asserstein distance

Reference 4

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Observation 2be7d217-8dee-424f-bd9b-ca51df5f397a · outbound

This paper cites Adapted W asserstein distance between the laws of SDE s.

Comparing noisy neural population dynamics using optimal transport distances Adapted W asserstein distance between the laws of SDE s

Reference 5

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Source-reported events for the cited work

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Observation 1b7e5986-1f80-4d39-8247-e6f0bbad075f · outbound

This paper cites On the bures--wasserstein distance between positive definite matrices.

Comparing noisy neural population dynamics using optimal transport distances On the bures--wasserstein distance between positive definite matrices

Reference 6

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Observation f8ce714c-6983-4310-add4-e4fee867f48c · outbound

This paper cites Chaos as an intermittently forced linear system.

Comparing noisy neural population dynamics using optimal transport distances Chaos as an intermittently forced linear system

Reference 7

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Source-reported events for the cited work

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Observation c2f226fb-1412-4b1d-8efb-e4cb7a744369 · outbound

This paper cites Preparatory activity and the expansive null-space.

Comparing noisy neural population dynamics using optimal transport distances Preparatory activity and the expansive null-space

Reference 8

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Source-reported events for the cited work

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Observation cbc35bf7-cce7-4151-a7cd-b26b409681b4 · outbound

This paper cites Neural population dynamics during reaching.

Comparing noisy neural population dynamics using optimal transport distances Neural population dynamics during reaching

Reference 9

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Source-reported events for the cited work

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Observation 0b904f72-bf99-42c4-be32-77ee6b473ba7 · outbound

This paper cites Nearest neighbor pattern classification.

Comparing noisy neural population dynamics using optimal transport distances Nearest neighbor pattern classification

Reference 10

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Source-reported events for the cited work

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Observation a35a2aa7-e7de-43e8-80eb-e0d7f72884da · outbound

This paper cites Performance guarantees for hierarchical clustering.

Comparing noisy neural population dynamics using optimal transport distances Performance guarantees for hierarchical clustering

Reference 11

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Source-reported events for the cited work

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Observation 4e73ded4-e109-4903-90fb-750a0ed8a9ef · outbound

This paper cites Grounding representation similarity through statistical testing.

Comparing noisy neural population dynamics using optimal transport distances Grounding representation similarity through statistical testing

Reference 12

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Source-reported events for the cited work

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Observation 72bdc984-a5a8-47af-a6d2-73fe9a157a7b · outbound

This paper cites Learning interpretable continuous-time models of latent stochastic dynamical systems.

Comparing noisy neural population dynamics using optimal transport distances Learning interpretable continuous-time models of latent stochastic dynamical systems

Reference 13

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Source-reported events for the cited work

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Observation 1bd0b5a5-5604-4bcc-8a43-4817b1782d0e · outbound

This paper cites Representational dissimilarity metric spaces for stochastic neural networks.

Comparing noisy neural population dynamics using optimal transport distances Representational dissimilarity metric spaces for stochastic neural networks

Reference 14

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Source-reported events for the cited work

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Observation 03b0f53b-e4c9-4df8-b942-617039e73356 · outbound

This paper cites Residual dynamics resolves recurrent contributions to neural computation.

Comparing noisy neural population dynamics using optimal transport distances Residual dynamics resolves recurrent contributions to neural computation

Reference 15

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Source-reported events for the cited work

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Observation f94e8b50-c443-4f22-9f55-d13e6ce7abdb · outbound

This paper cites Numerical Linear Algebra for Applications in Statistics.

Comparing noisy neural population dynamics using optimal transport distances Numerical Linear Algebra for Applications in Statistics

Reference 16

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Source-reported events for the cited work

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Observation 947e3e92-1917-47c0-9de4-d6fa582cad37 · outbound

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Comparing noisy neural population dynamics using optimal transport distances Unresolved cited work

Reference 17

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Source-reported events for the cited work

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Observation a6fc6bf1-eed3-456d-8203-3257b65db021 · outbound

This paper cites Adapted optimal transport between Gaussian processes in discrete time.

Comparing noisy neural population dynamics using optimal transport distances Adapted optimal transport between Gaussian processes in discrete time

Reference 18

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Source-reported events for the cited work

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Observation 34ccc272-2f98-4eea-a59f-58fe19f61356 · outbound

This paper cites What representational similarity measures imply about decodable information.

Comparing noisy neural population dynamics using optimal transport distances What representational similarity measures imply about decodable information

Reference 19

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Source-reported events for the cited work

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Observation d775f11a-2940-4705-aadf-cfb13a127a39 · outbound

This paper cites Denoising diffusion probabilistic models.

Comparing noisy neural population dynamics using optimal transport distances Denoising diffusion probabilistic models

Reference 20

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Source-reported events for the cited work

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Observation f7550dbf-3f95-4060-b8f4-25328336a06e · outbound

This paper cites Stochastic solutions for linear inverse problems using the prior implicit in a denoiser.

Comparing noisy neural population dynamics using optimal transport distances Stochastic solutions for linear inverse problems using the prior implicit in a denoiser

Reference 21

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Source-reported events for the cited work

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Observation 0cdf3c8a-626a-477f-b838-61cd71bb6c53 · outbound

This paper cites Cortical activity in the null space: permitting preparation without movement.

Comparing noisy neural population dynamics using optimal transport distances Cortical activity in the null space: permitting preparation without movement

Reference 22

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Source-reported events for the cited work

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Observation 28d0a28e-738c-4d72-a4d3-05668fdd3d2e · outbound

This paper cites The largest response component in the motor cortex reflects movement timing but not movement type.

Comparing noisy neural population dynamics using optimal transport distances The largest response component in the motor cortex reflects movement timing but not movement type

Reference 23

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Source-reported events for the cited work

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Observation faddc5ea-7284-4da8-bd60-608e7b37d521 · outbound

This paper cites Similarity of Neural Network Models: A Survey of Functional and Representational Measures.

Comparing noisy neural population dynamics using optimal transport distances Similarity of Neural Network Models: A Survey of Functional and Representational Measures

Reference 24

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Source-reported events for the cited work

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Observation 31bde2c6-ddef-40c4-9930-802137f28ec6 · outbound

This paper cites Hamiltonian systems and transformation in hilbert space.

Comparing noisy neural population dynamics using optimal transport distances Hamiltonian systems and transformation in hilbert space

Reference 25

Resolution
unresolved
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Source-reported events for the cited work

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Observation 401346c5-17cb-453d-a95c-5b92124c3e27 · outbound

This paper cites Similarity of neural network representations revisited.

Comparing noisy neural population dynamics using optimal transport distances Similarity of neural network representations revisited

Reference 26

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ecdb2229-49e5-4d4f-8a62-cb5177e7e3dc · outbound

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Comparing noisy neural population dynamics using optimal transport distances Representational similarity analysis-connecting the branches of systems neuroscience

Reference 27

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Source-reported events for the cited work

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Observation 4defdd9c-6931-42ee-8603-4e3ce9847447 · outbound

This paper cites Causal transport plans and their M onge- K antorovich problems.

Comparing noisy neural population dynamics using optimal transport distances Causal transport plans and their M onge- K antorovich problems

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 3863073f-0a4b-4314-bc15-0fa9955eefc2 · outbound

This paper cites Disentangling recurrent neural dynamics with stochastic representational geometry.

Comparing noisy neural population dynamics using optimal transport distances Disentangling recurrent neural dynamics with stochastic representational geometry

Reference 29

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Source-reported events for the cited work

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Observation dff98600-61a4-4d07-88fb-cb8130c2caa7 · outbound

This paper cites Learning from uncertain curves: The 2- W asserstein metric for gaussian processes.

Comparing noisy neural population dynamics using optimal transport distances Learning from uncertain curves: The 2- W asserstein metric for gaussian processes

Reference 30

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Source-reported events for the cited work

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Observation 3739c996-ae18-4bd7-af3c-a640591bc8dd · outbound

This paper cites Distributed representations of words and phrases and their compositionality.

Comparing noisy neural population dynamics using optimal transport distances Distributed representations of words and phrases and their compositionality

Reference 31

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unresolved
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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-11T12:21:29.784187Z digest=sha256:4a10007a26f30fa179283ece831b2e698e85ee7bfcb64b3a98ad3a5c87acd6a3

Observation 63c8c6f2-be3b-4be4-8954-4c68d4bda75b · outbound

This paper cites Estimating noise correlations across continuous conditions with W ishart processes.

Comparing noisy neural population dynamics using optimal transport distances Estimating noise correlations across continuous conditions with W ishart processes

Reference 32

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verified fuzzy
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Source-reported events for the cited work

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Observation fe7dc2eb-cc7b-42a7-be1d-797cc78743b7 · outbound

This paper cites Beyond geometry: Comparing the temporal structure of computation in neural circuits with dynamical similarity analysis.

Comparing noisy neural population dynamics using optimal transport distances Beyond geometry: Comparing the temporal structure of computation in neural circuits with dynamical similarity analysis

Reference 33

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Source-reported events for the cited work

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Observation 25e7c397-2cd6-4e2a-a79d-d4669979db19 · outbound

This paper cites Computational optimal transport: With applications to data science.

Comparing noisy neural population dynamics using optimal transport distances Computational optimal transport: With applications to data science

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 25d503b0-c52a-4c51-aa95-ec9c27f2a4b4 · outbound

This paper cites Estimating shape distances on neural representations with limited samples.

Comparing noisy neural population dynamics using optimal transport distances Estimating shape distances on neural representations with limited samples

Reference 35

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-11T12:21:29.799369Z digest=sha256:d16cda7698c29686f73527f0ac38427c1cb9a1ea6206ebf4d0c3c1b1446ddb9f

Observation 1edf8144-8074-4430-8e78-4add93d21187 · outbound

This paper cites SVCCA : Singular vector canonical correlation analysis for deep learning dynamics and interpretability.

Comparing noisy neural population dynamics using optimal transport distances SVCCA : Singular vector canonical correlation analysis for deep learning dynamics and interpretability

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:21:30.156589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 73f34010-2b09-4295-afda-786b734bd833 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

Comparing noisy neural population dynamics using optimal transport distances High-resolution image synthesis with latent diffusion models

Reference 37

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source=arxiv_source observed=2026-08-11T12:21:29.807430Z digest=sha256:095d5dd69c8f0359364c4e4b158255f980f7841985ed3d1b9e27e68382eae44e

Observation 3824fe17-a1a3-48e2-bdd7-4b939f6c44a5 · outbound

This paper cites Cortical pattern generation during dexterous movement is input-driven.

Comparing noisy neural population dynamics using optimal transport distances Cortical pattern generation during dexterous movement is input-driven

Reference 38

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Observation d078503c-f9d4-48ce-8190-a565a3a44a1e · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

Comparing noisy neural population dynamics using optimal transport distances Deep unsupervised learning using nonequilibrium thermodynamics

Reference 39

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source=arxiv_source observed=2026-08-11T12:21:29.814884Z digest=sha256:a5519a7b4b4ba84d5e451fa233b21fc75ca72a9b5c2536891f733bad83663912

Observation 746de082-932d-413e-a178-ef4e675b6f85 · outbound

This paper cites Generative modeling by estimating gradients of the data distribution.

Comparing noisy neural population dynamics using optimal transport distances Generative modeling by estimating gradients of the data distribution

Reference 40

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source=arxiv_source observed=2026-08-11T12:21:29.818668Z digest=sha256:a805ae96b7098f3c0f99ecdda15e344031cd657337f10c6db8c049bb4a187d2b

Observation c8e9827a-1156-48c7-8241-a1752177c3ba · outbound

This paper cites Detecting strange attractors in turbulence.

Comparing noisy neural population dynamics using optimal transport distances Detecting strange attractors in turbulence

Reference 41

Resolution
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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-11T12:21:29.822312Z digest=sha256:dd33d28f09c328e5d294f4f4c6ac563e334f40fd1e1dede43a01a29b99d52aeb

Observation dc3cc30a-2496-430a-a8ca-0f198390a73f · outbound

This paper cites Computation through neural population dynamics.

Comparing noisy neural population dynamics using optimal transport distances Computation through neural population dynamics

Reference 42

Resolution
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Observation df8de11a-c1f9-4459-a3c7-96d3a1baf7a1 · outbound

This paper cites Generalized shape metrics on neural representations.

Comparing noisy neural population dynamics using optimal transport distances Generalized shape metrics on neural representations

Reference 43

Resolution
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Observation 7b900ed1-f184-4f14-bdd9-2c5cdaf6fce1 · outbound

This paper cites Diffusion models: A comprehensive survey of methods and applications.

Comparing noisy neural population dynamics using optimal transport distances Diffusion models: A comprehensive survey of methods and applications

Reference 44

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Observation 3ea1ccb6-7367-44ae-9d1f-9cd597a10259 · outbound

This paper cites @esa (Ref.

Comparing noisy neural population dynamics using optimal transport distances @esa (Ref

Reference 45

Resolution
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source=arxiv_source observed=2026-08-11T12:21:29.836707Z digest=sha256:9fae49ef0620b5accd75c5892ddd15561fd6b1c3ad3aaf919c8c191fa4c2b9d6

Observation 80f70bfa-f27f-4a7b-b5ae-d5224300bd47 · outbound

This paper cites an unresolved cited work.

Comparing noisy neural population dynamics using optimal transport distances Unresolved cited work

Reference 46

Resolution
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source=arxiv_source observed=2026-08-11T12:21:29.840272Z digest=sha256:c7c96f640cb3d2058b7caabbb671b7174751e3ecf9c64e6aebd5d76e4bba3cde

Observation b2ea541b-87b1-47dc-b4d5-377f8f2b05c2 · outbound

This paper cites What Representational Similarity Measures Imply about Decodable Information.

Comparing noisy neural population dynamics using optimal transport distances What Representational Similarity Measures Imply about Decodable Information

Reference 47

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Pith citing papers

Observation ae366add-c0b3-4f0c-81fd-c0c39a9c1da2 · inbound

Can Biologically Plausible Temporal Credit Assignment Rules Match BPTT for Neural Similarity? E-prop as an Example cites this paper.

Can Biologically Plausible Temporal Credit Assignment Rules Match BPTT for Neural Similarity? E-prop as an Example Comparing noisy neural population dynamics using optimal transport distances

Reference 16

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source=pdf_text observed=2026-08-07T05:51:43.160396Z digest=sha256:41acbc61908e9c865bd0b567f44e00c0c4c008b259c888205089a98665ce67bd

Observation 1cc47ca2-9659-4aab-ad2f-484915013386 · inbound

Decoding Alignment without Encoding Alignment: A critique of similarity analysis in neuroscience cites this paper.

Decoding Alignment without Encoding Alignment: A critique of similarity analysis in neuroscience Comparing noisy neural population dynamics using optimal transport distances

Reference 38

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arxiv_id, observed 2026-05-09T00:24:28.582030Z

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