Are cortical microcircuits optimized for information flux? -- A simulation-based reverse engineering study | Paper Citation Record

Observation 148921b9-4156-4ee0-87ae-4a51ca877810 · outbound

This paper cites Deep learning.nature, 521(7553):436–444.

Are cortical microcircuits optimized for information flux? -- A simulation-based reverse engineering study Deep learning.nature, 521(7553):436–444

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:04:14.920977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8d3d256a-2b0e-4483-a094-4f24dc4e64a6 · outbound

This paper cites Re- view of deep learning: Concepts, cnn architectures, challenges, applications, future directions.

Are cortical microcircuits optimized for information flux? -- A simulation-based reverse engineering study Re- view of deep learning: Concepts, cnn architectures, challenges, applications, future directions

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:04:14.977737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c7b96a9f-89c3-4016-af2c-9e4ac158fab4 · outbound

This paper cites Recent advances in natural language pro- cessing via large pre-trained language models: A survey.ACM Computing Surveys, 56(2):1–40, 2023.

Are cortical microcircuits optimized for information flux? -- A simulation-based reverse engineering study Recent advances in natural language pro- cessing via large pre-trained language models: A survey.ACM Computing Surveys, 56(2):1–40, 2023

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:04:14.892683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 593fd782-0be6-4f38-988c-d2c210bcba38 · outbound

This paper cites Universality and individuality in neural dynamics across large populations of recurrent networks.

Are cortical microcircuits optimized for information flux? -- A simulation-based reverse engineering study Universality and individuality in neural dynamics across large populations of recurrent networks

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:04:14.905672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e17f24da-2b47-468e-b2b2-7ab26da03656 · outbound

This paper cites Recurrent neural networks are univer- sal approximators.

Are cortical microcircuits optimized for information flux? -- A simulation-based reverse engineering study Recurrent neural networks are univer- sal approximators

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:04:14.857052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 809ba054-6461-4c1c-89ca-6cb8c1868434 · outbound

This paper cites Universal approximation of flows of control systems by recurrent neural networks.

Are cortical microcircuits optimized for information flux? -- A simulation-based reverse engineering study Universal approximation of flows of control systems by recurrent neural networks

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:04:14.839638Z

Source-reported events for the cited work

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Observation d996bd82-34e5-4c6d-9d0a-5182d7040f31 · outbound

This paper cites echo state.

Are cortical microcircuits optimized for information flux? -- A simulation-based reverse engineering study echo state

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:04:14.822258Z

Source-reported events for the cited work

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Observation a450ea9d-a0a7-4e75-b634-a73b06e44f78 · outbound

This paper cites Optimal sequence memory in driven random networks.Physical Review X, 8(4):041029.

Are cortical microcircuits optimized for information flux? -- A simulation-based reverse engineering study Optimal sequence memory in driven random networks.Physical Review X, 8(4):041029

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:04:14.896405Z

Source-reported events for the cited work

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Observation 190eef58-f014-490a-840e-456b33f0d39a · outbound

This paper cites Connectivity, dynamics, and memory in reservoir computing with binary and analog neurons.Neural computation, 22(5):1272–1311, 2010.

Are cortical microcircuits optimized for information flux? -- A simulation-based reverse engineering study Connectivity, dynamics, and memory in reservoir computing with binary and analog neurons.Neural computation, 22(5):1272–1311, 2010

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:04:14.899721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 57ec29b9-e6ac-4dd2-86e4-19c8d266ac2e · outbound

This paper cites Information process- ing capacity of dynamical systems.Scientific reports, 2(1):1–7, 2012.

Are cortical microcircuits optimized for information flux? -- A simulation-based reverse engineering study Information process- ing capacity of dynamical systems.Scientific reports, 2(1):1–7, 2012

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:04:14.879882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 69492700-a715-495a-a179-5ffcdb9a8e9b · outbound

This paper cites Randomly connected networks have short temporal memory.Neural computation, 25(6):1408–1439, 2013.

Are cortical microcircuits optimized for information flux? -- A simulation-based reverse engineering study Randomly connected networks have short temporal memory.Neural computation, 25(6):1408–1439, 2013

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:04:14.797751Z

Source-reported events for the cited work

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Observation 65ef052b-d973-4724-8144-6d6b891c572e · outbound

This paper cites Fading memory echo state networks are universal.Neural Networks, 138:10–13, 2021.

Are cortical microcircuits optimized for information flux? -- A simulation-based reverse engineering study Fading memory echo state networks are universal.Neural Networks, 138:10–13, 2021

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:04:14.815651Z

Source-reported events for the cited work

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Observation 5249eca1-5849-4188-af44-0a5a8da76309 · outbound

This paper cites Gradient-based learning drives robust representations in recurrent neural networks by balancing compression and expansion.Nature Machine Intelligence, 4(6):564–573, 2022.

Are cortical microcircuits optimized for information flux? -- A simulation-based reverse engineering study Gradient-based learning drives robust representations in recurrent neural networks by balancing compression and expansion.Nature Machine Intelligence, 4(6):564–573, 2022

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:04:14.850257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f707f4b9-6526-4f03-a040-9f6870a6fcc8 · outbound

This paper cites Stimulus-dependent suppression of chaos in recurrent neural networks.Physical Review E, 82(1):011903, 2010.

Are cortical microcircuits optimized for information flux? -- A simulation-based reverse engineering study Stimulus-dependent suppression of chaos in recurrent neural networks.Physical Review E, 82(1):011903, 2010

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:04:14.808853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation dc64389a-a62f-45ec-babd-0c01cb085518 · outbound

This paper cites Controlling Recurrent Neural Networks by Conceptors.

Are cortical microcircuits optimized for information flux? -- A simulation-based reverse engineering study Controlling Recurrent Neural Networks by Conceptors

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-06-30T19:55:01.676223Z

Source-reported events for the cited work

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Observation b267ecf4-e2b5-484d-a2f4-07acc01045a0 · outbound

This paper cites Understanding and controlling memory in recurrent neural networks.

Are cortical microcircuits optimized for information flux? -- A simulation-based reverse engineering study Understanding and controlling memory in recurrent neural networks

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:04:14.843044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d4b75d14-62dc-4306-a9b4-ae79b8acfd1c · outbound

This paper cites Suppressing chaos in neural networks by noise.Physical review letters, 69(26):3717, 1992.

Are cortical microcircuits optimized for information flux? -- A simulation-based reverse engineering study Suppressing chaos in neural networks by noise.Physical review letters, 69(26):3717, 1992

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:04:14.826252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 67b11fba-9d0b-40cd-b1e9-fcf18ac785e9 · outbound

This paper cites Noise-modulated neural networks as an application of stochastic resonance.Neurocomputing, 277:29–37, 2018.

Are cortical microcircuits optimized for information flux? -- A simulation-based reverse engineering study Noise-modulated neural networks as an application of stochastic resonance.Neurocomputing, 277:29–37, 2018

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:04:14.854071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4ce13282-3966-4cf3-be94-0590ce609961 · outbound

This paper cites Recurrence resonance” in three-neuron motifs.Frontiers in computational neuroscience, 13, 2019.

Are cortical microcircuits optimized for information flux? -- A simulation-based reverse engineering study Recurrence resonance” in three-neuron motifs.Frontiers in computational neuroscience, 13, 2019

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:04:14.812367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7e1c2e56-5aaa-495a-a206-f6bf2adc316b · outbound

This paper cites Control of noise-induced coherent oscillations in three-neuron motifs.

Are cortical microcircuits optimized for information flux? -- A simulation-based reverse engineering study Control of noise-induced coherent oscillations in three-neuron motifs

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-06-30T19:55:01.679127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 83dc07a7-32a9-4a2f-8b2f-5f1393da4d3e · outbound

This paper cites Dynamics and information import in recurrent neural net- works.Frontiers in Computational Neuroscience, 16, 2022.

Are cortical microcircuits optimized for information flux? -- A simulation-based reverse engineering study Dynamics and information import in recurrent neural net- works.Frontiers in Computational Neuroscience, 16, 2022

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:04:14.819004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1210fb5c-31a7-41f6-ab1b-60b73c80024e · outbound

This paper cites Recurrent neural networks as versatile tools of neuroscience research.Current opinion in neurobiology, 46:1–6.

Are cortical microcircuits optimized for information flux? -- A simulation-based reverse engineering study Recurrent neural networks as versatile tools of neuroscience research.Current opinion in neurobiology, 46:1–6

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:04:14.829967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 536260c6-26da-4d93-b630-aa640c05c003 · outbound

This paper cites Highly nonrandom features of synaptic connectivity in local cortical circuits.PLoS biology, 3(3):e68, 2005.

Are cortical microcircuits optimized for information flux? -- A simulation-based reverse engineering study Highly nonrandom features of synaptic connectivity in local cortical circuits.PLoS biology, 3(3):e68, 2005

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:04:14.836772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 29389e0e-9f16-4d29-9057-8f83399db6ac · outbound

This paper cites Is cortical connectivity optimized for storing information?Nature neuroscience, 19(5):749–755, 2016.

Are cortical microcircuits optimized for information flux? -- A simulation-based reverse engineering study Is cortical connectivity optimized for storing information?Nature neuroscience, 19(5):749–755, 2016

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:04:14.873397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bf7455c8-ccd9-41dd-a0df-fa088672097a · outbound

This paper cites Exploring Sparsity in Recurrent Neural Networks.

Are cortical microcircuits optimized for information flux? -- A simulation-based reverse engineering study Exploring Sparsity in Recurrent Neural Networks

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-06-30T19:55:01.673508Z

Source-reported events for the cited work

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Observation 27c4b1ff-33cf-4ec2-97b8-a3527fc1d8b0 · outbound

This paper cites Sparsity through evolutionary pruning prevents neuronal networks from overfitting.Neural Networks, 128:305– 312, 2020.

Are cortical microcircuits optimized for information flux? -- A simulation-based reverse engineering study Sparsity through evolutionary pruning prevents neuronal networks from overfitting.Neural Networks, 128:305– 312, 2020

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:04:14.860271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3d4e3beb-734f-4986-b08a-c5d46441f7c1 · outbound

This paper cites Effect of dilution in asym- metric recurrent neural networks.Neural Networks, 104:50–59, 2018.

Are cortical microcircuits optimized for information flux? -- A simulation-based reverse engineering study Effect of dilution in asym- metric recurrent neural networks.Neural Networks, 104:50–59, 2018

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:04:14.863211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 54cdec50-be73-45ca-8300-e4fd35d90470 · outbound

This paper cites Analysis of structure and dynamics in three-neuron motifs.Frontiers in Computational Neuroscience, 13:5, 2019.

Are cortical microcircuits optimized for information flux? -- A simulation-based reverse engineering study Analysis of structure and dynamics in three-neuron motifs.Frontiers in Computational Neuroscience, 13:5, 2019

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:04:14.876732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 06e06bb2-24e4-49a0-a739-9db35f183ba2 · outbound

This paper cites Weight statistics controls dynamics in recurrent neural networks.PloS one, 14(4):e0214541, 2019.

Are cortical microcircuits optimized for information flux? -- A simulation-based reverse engineering study Weight statistics controls dynamics in recurrent neural networks.PloS one, 14(4):e0214541, 2019

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:04:14.846974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2c754f79-7415-4446-b4dd-d2516a13a747 · outbound

This paper cites Nonlinear neural dynamics and classification accuracy in reservoir computing.Neural Computation, 37(8):1469–1504, 2025.

Are cortical microcircuits optimized for information flux? -- A simulation-based reverse engineering study Nonlinear neural dynamics and classification accuracy in reservoir computing.Neural Computation, 37(8):1469–1504, 2025

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:04:14.908692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4c8db9bb-0a53-4a09-953e-74bf58b429db · outbound

This paper cites Organizational regularities in recurrent neural networks.Frontiers in Complex Systems, 3:1636222, 2025.

Are cortical microcircuits optimized for information flux? -- A simulation-based reverse engineering study Organizational regularities in recurrent neural networks.Frontiers in Complex Systems, 3:1636222, 2025

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:04:14.973816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ea2c6368-9977-429c-8b8e-4cf437e50c52 · outbound

This paper cites Modular brain networks.Annual Review of Psychology, 67:613–640, 2016.

Are cortical microcircuits optimized for information flux? -- A simulation-based reverse engineering study Modular brain networks.Annual Review of Psychology, 67:613–640, 2016

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Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:04:14.948215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation db508651-7eef-43a2-a42c-1418c73b5069 · outbound

This paper cites Modular and hierarchically mod- ular organization of brain networks.Frontiers in Neuroscience, 4:200, 2010.

Are cortical microcircuits optimized for information flux? -- A simulation-based reverse engineering study Modular and hierarchically mod- ular organization of brain networks.Frontiers in Neuroscience, 4:200, 2010

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Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:04:14.985203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 80d34aa6-cc02-4003-93f6-f60a8d40f35d · outbound

This paper cites Neural networks and physical systems with emergent collective computational abilities.Proceedings of the national academy of sciences, 79(8):2554–2558.

Are cortical microcircuits optimized for information flux? -- A simulation-based reverse engineering study Neural networks and physical systems with emergent collective computational abilities.Proceedings of the national academy of sciences, 79(8):2554–2558

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Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:04:14.981504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation eb4db348-d3b5-453b-bb2d-e0a3f8ea5fc2 · outbound

This paper cites Intrinsic noise improves speech recognition in a computational model of the auditory pathway.Frontiers in Neuroscience, 16:908330, 2022.

Are cortical microcircuits optimized for information flux? -- A simulation-based reverse engineering study Intrinsic noise improves speech recognition in a computational model of the auditory pathway.Frontiers in Neuroscience, 16:908330, 2022

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:04:14.886536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3330ef49-70f1-42f0-b80f-455e9af5293a · outbound

This paper cites an unresolved cited work.

Are cortical microcircuits optimized for information flux? -- A simulation-based reverse engineering study Unresolved cited work

Reference 36

Resolution: unresolved; raw_fallback, observed 2026-07-07T23:04:14.889498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a35f3596-563b-4216-abe4-d44f98cd91f3 · outbound

This paper cites an unresolved cited work.

Are cortical microcircuits optimized for information flux? -- A simulation-based reverse engineering study Unresolved cited work

Reference 37

Resolution: unresolved; raw_fallback, observed 2026-07-07T23:04:14.902565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 321935ae-9f34-45e1-82fa-d46adc341c96 · outbound

This paper cites Predictive coding and stochastic resonance as fundamental principles of auditory phantom perception.Brain, 146(12):4809–4825, 2023.

Are cortical microcircuits optimized for information flux? -- A simulation-based reverse engineering study Predictive coding and stochastic resonance as fundamental principles of auditory phantom perception.Brain, 146(12):4809–4825, 2023

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:04:14.883521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 151cb62b-7f08-4464-a61f-87278df7839b · outbound

This paper cites Recurrence resonance- noise-enhanced dynamics in recurrent neural networks.Frontiers in Complex Systems, 2:1479417, 2024.

Are cortical microcircuits optimized for information flux? -- A simulation-based reverse engineering study Recurrence resonance- noise-enhanced dynamics in recurrent neural networks.Frontiers in Complex Systems, 2:1479417, 2024

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Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:04:14.866460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 507a7fe1-037a-46e6-8e26-4f3ef7959958 · outbound

This paper cites Computation at the edge of chaos: Phase transitions and emergent compu- tation.Physica D: Nonlinear Phenomena, 42(1-3):12–37, 1990.

Are cortical microcircuits optimized for information flux? -- A simulation-based reverse engineering study Computation at the edge of chaos: Phase transitions and emergent compu- tation.Physica D: Nonlinear Phenomena, 42(1-3):12–37, 1990

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:04:14.773202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 026916b9-de17-45a8-81b0-a4a9b1b842e2 · outbound

This paper cites Real-time computation at the edge of chaos in recurrent neural networks.Neural computation, 16(7):1413–1436, 2004.

Are cortical microcircuits optimized for information flux? -- A simulation-based reverse engineering study Real-time computation at the edge of chaos in recurrent neural networks.Neural computation, 16(7):1413–1436, 2004

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:04:14.833377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a7fef419-6ea5-4310-ade8-b050fd5b0fbd · outbound

This paper cites The mechanism of stochastic resonance.

Are cortical microcircuits optimized for information flux? -- A simulation-based reverse engineering study The mechanism of stochastic resonance

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:04:14.870336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ed95d761-64c7-407d-8504-8c15e738f537 · outbound

This paper cites Stochastic resonance and the benefits of noise: from ice ages to crayfish and squids.Nature, 373(6509):33–36, 1995.

Are cortical microcircuits optimized for information flux? -- A simulation-based reverse engineering study Stochastic resonance and the benefits of noise: from ice ages to crayfish and squids.Nature, 373(6509):33–36, 1995

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Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:04:14.926685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1cc74734-b1c9-4834-ad9e-6c9460d51c24 · outbound

This paper cites drivers” from “modulators.

Are cortical microcircuits optimized for information flux? -- A simulation-based reverse engineering study drivers” from “modulators

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:04:14.929671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 410eafb7-1b30-4707-b192-eb400f35d04c · outbound

This paper cites Predictive coding in the visual cortex: a functional interpretation of some extra-classical receptive-field effects.Nature neuroscience, 2(1):79–87.

Are cortical microcircuits optimized for information flux? -- A simulation-based reverse engineering study Predictive coding in the visual cortex: a functional interpretation of some extra-classical receptive-field effects.Nature neuroscience, 2(1):79–87

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Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:04:14.933252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4f9d3cf6-42f6-419f-8980-583f2cb4fe2e · outbound

This paper cites A theory of cortical responses.Philosophical transactions of the Royal Society B: Biological sciences, 360(1456):815–836.

Are cortical microcircuits optimized for information flux? -- A simulation-based reverse engineering study A theory of cortical responses.Philosophical transactions of the Royal Society B: Biological sciences, 360(1456):815–836

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:04:14.970064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 495b8ed6-e835-40af-8c1c-2229b4272765 · outbound

This paper cites Homeostatic plasticity in the developing nervous system.

Are cortical microcircuits optimized for information flux? -- A simulation-based reverse engineering study Homeostatic plasticity in the developing nervous system

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:04:14.989216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 312e4ecd-6c45-42e9-8462-e817940531a7 · outbound

This paper cites Theory for the development of neu- ron selectivity: orientation specificity and binocular interaction in visual cortex.Journal of Neuroscience, 2(1):32–48, 1982.

Are cortical microcircuits optimized for information flux? -- A simulation-based reverse engineering study Theory for the development of neu- ron selectivity: orientation specificity and binocular interaction in visual cortex.Journal of Neuroscience, 2(1):32–48, 1982

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:04:14.914117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7369808d-a9d5-4395-ab4e-c5a8320ffc2c · outbound

This paper cites The self-tuning neuron: synaptic scaling of excitatory synapses.Cell, 135(3):422–435, 2008.

Are cortical microcircuits optimized for information flux? -- A simulation-based reverse engineering study The self-tuning neuron: synaptic scaling of excitatory synapses.Cell, 135(3):422–435, 2008

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:04:14.917471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d9e494a7-066d-46a7-9cfd-fe9e44e61b94 · outbound

This paper cites Detect- ing rich-club ordering in complex networks.Nature physics, 2(2):110–115, 2006.

Are cortical microcircuits optimized for information flux? -- A simulation-based reverse engineering study Detect- ing rich-club ordering in complex networks.Nature physics, 2(2):110–115, 2006

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:04:14.923680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d1ac9f82-1595-466f-9371-2b2013c962aa · outbound

This paper cites inter” and column “peri.

Are cortical microcircuits optimized for information flux? -- A simulation-based reverse engineering study inter” and column “peri

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T23:04:14.911308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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