Learning sequence timing and control of replay speed in networks of spiking neurons | Paper Citation Record

Observation 7f5412f9-5c70-4a17-8304-f9d874199069 · outbound

This paper cites The problem of serial order in behavior.

Learning sequence timing and control of replay speed in networks of spiking neurons The problem of serial order in behavior

Reference 1

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This paper cites Sequence learning.

Learning sequence timing and control of replay speed in networks of spiking neurons Sequence learning

Reference 2

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This paper cites On intelligence: How a new understanding of the brain will lead to the creation of truly intelligent machines.

Learning sequence timing and control of replay speed in networks of spiking neurons On intelligence: How a new understanding of the brain will lead to the creation of truly intelligent machines

Reference 3

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This paper cites The neural representation of sequences: from transition probabilities to algebraic patterns and linguistic trees.

Learning sequence timing and control of replay speed in networks of spiking neurons The neural representation of sequences: from transition probabilities to algebraic patterns and linguistic trees

Reference 4

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This paper cites Memory for musical tempo: Additional evidence that auditory memory is absolute.

Learning sequence timing and control of replay speed in networks of spiking neurons Memory for musical tempo: Additional evidence that auditory memory is absolute

Reference 5

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This paper cites Rate and duration memory of naturalistic sounds.

Learning sequence timing and control of replay speed in networks of spiking neurons Rate and duration memory of naturalistic sounds

Reference 6

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Observation 36e24213-edb1-44e5-9ff1-3b2148a131a4 · outbound

This paper cites Emergence of dynamic memory traces in cortical microcircuit models through STDP.

Learning sequence timing and control of replay speed in networks of spiking neurons Emergence of dynamic memory traces in cortical microcircuit models through STDP

Reference 7

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Observation 88d4a7da-8a15-43a6-8981-e85d74f9b915 · outbound

This paper cites Bridging structure and function: A model of sequence learning and prediction in primary visual cortex.

Learning sequence timing and control of replay speed in networks of spiking neurons Bridging structure and function: A model of sequence learning and prediction in primary visual cortex

Reference 8

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Observation b47c0896-a6b5-49e8-86d9-3c93b4adfe1a · outbound

This paper cites Learning spatiotemporal signals using a recurrent spiking network that discretizes time.

Learning sequence timing and control of replay speed in networks of spiking neurons Learning spatiotemporal signals using a recurrent spiking network that discretizes time

Reference 9

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This paper cites Learning precise spatiotemporal sequences via biophysically realistic learning rules in a modular, spiking network.

Learning sequence timing and control of replay speed in networks of spiking neurons Learning precise spatiotemporal sequences via biophysically realistic learning rules in a modular, spiking network

Reference 10

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correction dated 2023-03-06. Source: crossref record 10.7554/elife.87507->10.7554/elife.63751:correction, observed 2026-07-11T02:55:50.289121+00:00. This notice travels one citation hop only.

Observation 7b0de15f-8b6e-4eea-ac98-d14766186e38 · outbound

This paper cites Neural circuit mechanisms of hierarchical sequence learning tested on large-scale recording data.

Learning sequence timing and control of replay speed in networks of spiking neurons Neural circuit mechanisms of hierarchical sequence learning tested on large-scale recording data

Reference 11

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Observation 4c7fea2d-25e5-4022-b23b-16e113fc02ed · outbound

This paper cites Thunderstruck: The ACDC model of flexible sequences and rhythms in recurrent neural circuits.

Learning sequence timing and control of replay speed in networks of spiking neurons Thunderstruck: The ACDC model of flexible sequences and rhythms in recurrent neural circuits

Reference 12

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Observation 476e7329-42c2-4fd9-82ac-93c6442244a5 · outbound

This paper cites ELiSe: Efficient Learning of Sequences in Structured Recurrent Networks.

Learning sequence timing and control of replay speed in networks of spiking neurons ELiSe: Efficient Learning of Sequences in Structured Recurrent Networks

Reference 13

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This paper cites Cortical learning algorithm and Hierarchical Temporal Memory.

Learning sequence timing and control of replay speed in networks of spiking neurons Cortical learning algorithm and Hierarchical Temporal Memory

Reference 14

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Observation ca95b0b2-c38d-4cac-9da8-28b3d481170b · outbound

This paper cites Raymond, S.

Learning sequence timing and control of replay speed in networks of spiking neurons Raymond, S

Reference 15

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Observation 8bfd72d1-0d56-4122-8692-3fcae37be6fc · outbound

This paper cites Sequence learning, prediction, and replay in networks of spiking neurons.

Learning sequence timing and control of replay speed in networks of spiking neurons Sequence learning, prediction, and replay in networks of spiking neurons

Reference 16

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Observation d5be8f9b-158d-489f-a0c2-6e183b44c67f · outbound

This paper cites The decade of the dendritic NMDA spike.

Learning sequence timing and control of replay speed in networks of spiking neurons The decade of the dendritic NMDA spike

Reference 17

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This paper cites Experimental evidence for sparse firing in the neocortex.

Learning sequence timing and control of replay speed in networks of spiking neurons Experimental evidence for sparse firing in the neocortex

Reference 18

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This paper cites Precision of inhibition: dendritic inhibition by individual GABAergic synapses on hippocampal pyramidal cells is confined in space and time.

Learning sequence timing and control of replay speed in networks of spiking neurons Precision of inhibition: dendritic inhibition by individual GABAergic synapses on hippocampal pyramidal cells is confined in space and time

Reference 19

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This paper cites Activation of postsynaptically silent synapses during pairing-induced LTP in CA1 region of hippocampal slice.

Learning sequence timing and control of replay speed in networks of spiking neurons Activation of postsynaptically silent synapses during pairing-induced LTP in CA1 region of hippocampal slice

Reference 20

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Observation 0f0a3e6f-35e3-45bf-a810-35ef37843e30 · outbound

This paper cites Synaptic plasticity and dynamic modulation of the postsynaptic membrane.

Learning sequence timing and control of replay speed in networks of spiking neurons Synaptic plasticity and dynamic modulation of the postsynaptic membrane

Reference 21

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This paper cites Spike-Timing Dependence of Structural Plasticity Explains Cooperative Synapse Formation in the Neocortex.

Learning sequence timing and control of replay speed in networks of spiking neurons Spike-Timing Dependence of Structural Plasticity Explains Cooperative Synapse Formation in the Neocortex

Reference 22

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Observation 3046d403-46cc-4635-8d1e-d3a6a554b8ef · outbound

This paper cites Coherent noise enables probabilistic sequence replay in spiking neuronal networks.

Learning sequence timing and control of replay speed in networks of spiking neurons Coherent noise enables probabilistic sequence replay in spiking neuronal networks

Reference 23

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Observation c6ea922c-9557-445b-b3f4-c5447192b646 · outbound

This paper cites Unsupervised online learning of complex sequences in spiking neuronal networks.

Learning sequence timing and control of replay speed in networks of spiking neurons Unsupervised online learning of complex sequences in spiking neuronal networks

Reference 24

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Observation 448f330c-b71d-44c7-9460-746368210aa4 · outbound

This paper cites Coordinated memory replay in the visual cortex and hippocampus during sleep.

Learning sequence timing and control of replay speed in networks of spiking neurons Coordinated memory replay in the visual cortex and hippocampus during sleep

Reference 25

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This paper cites Fast-Forward Playback of Recent Memory Sequences in Prefrontal Cortex During Sleep.

Learning sequence timing and control of replay speed in networks of spiking neurons Fast-Forward Playback of Recent Memory Sequences in Prefrontal Cortex During Sleep

Reference 26

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Observation 7700b0d4-c86b-4ea3-a342-1f2b5b128c2c · outbound

This paper cites Human Replay Spontaneously Reorganizes Experience.

Learning sequence timing and control of replay speed in networks of spiking neurons Human Replay Spontaneously Reorganizes Experience

Reference 27

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Observation f43fb87f-25d5-4bcd-be30-a703bd32a638 · outbound

This paper cites Consolidation of human skill linked to wak- ing hippocampo-neocortical replay.

Learning sequence timing and control of replay speed in networks of spiking neurons Consolidation of human skill linked to wak- ing hippocampo-neocortical replay

Reference 28

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This paper cites A model of temporal scaling correctly predicts that motor timing improves with speed.

Learning sequence timing and control of replay speed in networks of spiking neurons A model of temporal scaling correctly predicts that motor timing improves with speed

Reference 29

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This paper cites A mechanism for cognitive dynamics: neuronal communication through neuronal coherence.

Learning sequence timing and control of replay speed in networks of spiking neurons A mechanism for cognitive dynamics: neuronal communication through neuronal coherence

Reference 30

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This paper cites year 2007.

Learning sequence timing and control of replay speed in networks of spiking neurons year 2007

Reference 31

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This paper cites The columnar organization of the neocortex.

Learning sequence timing and control of replay speed in networks of spiking neurons The columnar organization of the neocortex

Reference 32

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Observation b0a27662-2a52-4e0c-8352-1a01b2273ef5 · outbound

This paper cites The minicolumn hypothesis in neuroscience.

Learning sequence timing and control of replay speed in networks of spiking neurons The minicolumn hypothesis in neuroscience

Reference 33

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Observation 11c0f95d-c90e-49bb-8fe0-0f0358662348 · outbound

This paper cites Attractor Dynamics in a Modular Network Model of Neocor- tex.

Learning sequence timing and control of replay speed in networks of spiking neurons Attractor Dynamics in a Modular Network Model of Neocor- tex

Reference 34

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This paper cites Imposing Biological Constraints onto an Abstract Neocortical Attractor Network Model.

Learning sequence timing and control of replay speed in networks of spiking neurons Imposing Biological Constraints onto an Abstract Neocortical Attractor Network Model

Reference 35

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This paper cites On the computational power of winner-take-all.

Learning sequence timing and control of replay speed in networks of spiking neurons On the computational power of winner-take-all

Reference 36

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This paper cites Neural Assemblies.

Learning sequence timing and control of replay speed in networks of spiking neurons Neural Assemblies

Reference 37

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This paper cites Hebb’s Vision: The Structural Underpinnings of Hebbian Assemblies.

Learning sequence timing and control of replay speed in networks of spiking neurons Hebb’s Vision: The Structural Underpinnings of Hebbian Assemblies

Reference 38

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Observation 75512cc9-c8c2-4c55-b969-578ee13750a5 · outbound

This paper cites Connectivity Concepts in Neuronal Network Modeling.

Learning sequence timing and control of replay speed in networks of spiking neurons Connectivity Concepts in Neuronal Network Modeling

Reference 39

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Observation 854fdd46-f880-4eb1-864c-4ddf31e28299 · outbound

This paper cites NMDA spikes in basal dendrites of cortical pyramidal neurons.

Learning sequence timing and control of replay speed in networks of spiking neurons NMDA spikes in basal dendrites of cortical pyramidal neurons

Reference 40

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Observation 40577705-0ef8-467a-b74a-701805b95300 · outbound

This paper cites A Strict Correlation between Dendritic and Somatic Plateau Depolarizations in the Rat Prefrontal Cortex Pyramidal Neurons.

Learning sequence timing and control of replay speed in networks of spiking neurons A Strict Correlation between Dendritic and Somatic Plateau Depolarizations in the Rat Prefrontal Cortex Pyramidal Neurons

Reference 41

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Observation 9f85013d-4fd0-4976-af6c-eafd2e519c25 · outbound

This paper cites Synaptic Integration in Tuft Dendrites of Layer 5 Pyramidal Neurons: A New Unifying Principle.

Learning sequence timing and control of replay speed in networks of spiking neurons Synaptic Integration in Tuft Dendrites of Layer 5 Pyramidal Neurons: A New Unifying Principle

Reference 42

Resolution: verified exact; doi, observed 2026-05-22T02:00:54.853076Z

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Observation 22f93b6a-6d14-482c-bd45-8254e7546368 · outbound

This paper cites Hippocampal sharp wave-ripple: A cognitive biomarker for episodic memory and planning.

Learning sequence timing and control of replay speed in networks of spiking neurons Hippocampal sharp wave-ripple: A cognitive biomarker for episodic memory and planning

Reference 43

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This paper cites Mechanisms of systems memory consolidation during sleep.

Learning sequence timing and control of replay speed in networks of spiking neurons Mechanisms of systems memory consolidation during sleep

Reference 44

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Observation 284f227f-65b3-4658-a712-f8d21195c4b4 · outbound

This paper cites Reliability of Spike Timing in Neocortical Neurons.

Learning sequence timing and control of replay speed in networks of spiking neurons Reliability of Spike Timing in Neocortical Neurons

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T02:00:55.463758Z

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Observation 3e5c0b51-9a5b-4d73-8a1b-1ffe196c6158 · outbound

This paper cites Interaction of Synchronous Input Activity and Subthreshold Oscillatons of Membrane Potential.

Learning sequence timing and control of replay speed in networks of spiking neurons Interaction of Synchronous Input Activity and Subthreshold Oscillatons of Membrane Potential

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T02:00:55.430535Z

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Observation 361d16df-5728-41f8-9843-107de953fa13 · outbound

This paper cites The mechanism of synchronization in feed-forward neuronal networks.

Learning sequence timing and control of replay speed in networks of spiking neurons The mechanism of synchronization in feed-forward neuronal networks

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T02:00:55.487384Z

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Observation 661a273d-36bb-4996-bca9-5f73785b29c5 · outbound

This paper cites Fragmented replay of very large environments in the hippocampus of bats.

Learning sequence timing and control of replay speed in networks of spiking neurons Fragmented replay of very large environments in the hippocampus of bats

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T02:00:55.483998Z

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Observation b463ebff-3602-4402-9272-d3b621b0d94c · outbound

This paper cites Time at the center, or time at the side? Assessing current models of time perception.

Learning sequence timing and control of replay speed in networks of spiking neurons Time at the center, or time at the side? Assessing current models of time perception

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T02:00:55.508144Z

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Observation bb7c0e97-7d42-43d7-8f29-99b1e71be37a · outbound

This paper cites Using temperature to analyze the neural basis of a time-based decision.

Learning sequence timing and control of replay speed in networks of spiking neurons Using temperature to analyze the neural basis of a time-based decision

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T02:00:55.519944Z

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Observation 1ddd585a-5fe2-41cc-bab9-fef49a3ef0ae · outbound

This paper cites Scalar expectancy theory and Weber’s law in animal timing.

Learning sequence timing and control of replay speed in networks of spiking neurons Scalar expectancy theory and Weber’s law in animal timing

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T02:00:55.525675Z

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Observation b3d95f0a-9741-489a-8a29-e8a210d33e2c · outbound

This paper cites The failure of Weber’s law in time perception and production.

Learning sequence timing and control of replay speed in networks of spiking neurons The failure of Weber’s law in time perception and production

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T02:00:55.570692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation bb63c8ce-c6db-4b1a-b476-45561dd26792 · outbound

This paper cites The Local Field Potential Reflects Surplus Spike Synchrony.

Learning sequence timing and control of replay speed in networks of spiking neurons The Local Field Potential Reflects Surplus Spike Synchrony

Reference 53

Resolution: malformed identifier; raw_fallback, observed 2026-05-22T02:00:55.546465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 75e97f58-d9b9-4b7e-8c3f-41f0967e2bab · outbound

This paper cites Spike-Phase Coding Boosts and Stabilizes Information Carried by Spatial and Temporal Spike Patterns.

Learning sequence timing and control of replay speed in networks of spiking neurons Spike-Phase Coding Boosts and Stabilizes Information Carried by Spatial and Temporal Spike Patterns

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T02:00:55.436185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 917d2510-2ca9-4f8a-8b3d-c8a54c77f4cc · outbound

This paper cites Is Gamma-band activity in the local field potential of V1 cortex a ”clock” or filtered noise? J Neurosci.

Learning sequence timing and control of replay speed in networks of spiking neurons Is Gamma-band activity in the local field potential of V1 cortex a ”clock” or filtered noise? J Neurosci

Reference 55

Resolution: verified exact; doi, observed 2026-05-22T02:00:54.836611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b4d35206-8b6c-4cb4-9d83-82395343ac83 · outbound

This paper cites Stochastic generation of Gamma-band activity in primary visual cortex of awake and anesthetized monkeys.

Learning sequence timing and control of replay speed in networks of spiking neurons Stochastic generation of Gamma-band activity in primary visual cortex of awake and anesthetized monkeys

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T02:00:55.522717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a2fa9bf6-31c2-414f-8553-a2a6dff269cb · outbound

This paper cites Self-sustained activity in a small-world network of excitable neurons.

Learning sequence timing and control of replay speed in networks of spiking neurons Self-sustained activity in a small-world network of excitable neurons

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T02:00:55.531853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7b2ecdd1-6b93-4303-ad70-4cbad513cf9c · outbound

This paper cites Signal propagation and logic gating in networks of integrate-and-fire neurons.

Learning sequence timing and control of replay speed in networks of spiking neurons Signal propagation and logic gating in networks of integrate-and-fire neurons

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T02:00:55.534865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8215eb5a-f12d-4f03-86f9-f3a6f13a82e9 · outbound

This paper cites A network of spiking neurons that can represent interval timing: mean field analysis.

Learning sequence timing and control of replay speed in networks of spiking neurons A network of spiking neurons that can represent interval timing: mean field analysis

Reference 59

Resolution: malformed identifier; raw_fallback, observed 2026-05-22T02:00:55.540587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7fbb2813-ec24-43ad-84d1-76046bed53fe · outbound

This paper cites Dynamics of self-sustained asynchronous-irregular activity in random networks of spiking neurons with strong synapses.

Learning sequence timing and control of replay speed in networks of spiking neurons Dynamics of self-sustained asynchronous-irregular activity in random networks of spiking neurons with strong synapses

Reference 60

Resolution: verified exact; arxiv_id, observed 2026-05-22T02:00:54.844981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2958b8d3-3bd3-4c94-990c-73af874feb50 · outbound

This paper cites A neurocomputational model for optimal temporal processing.

Learning sequence timing and control of replay speed in networks of spiking neurons A neurocomputational model for optimal temporal processing

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T02:00:55.475215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 101a353c-c8f5-4a86-89d8-ade1520c272d · outbound

This paper cites Temporal-Sequential Learning With a Brain-Inspired Spiking Neural Network and Its Application to Musical Memory.

Learning sequence timing and control of replay speed in networks of spiking neurons Temporal-Sequential Learning With a Brain-Inspired Spiking Neural Network and Its Application to Musical Memory

Reference 62

Resolution: malformed identifier; arxiv_id, observed 2026-05-22T02:00:55.056062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation adb30d60-d631-46d6-82d0-fad4ef3a5b91 · outbound

This paper cites Neural networks with dynamical thresholds.

Learning sequence timing and control of replay speed in networks of spiking neurons Neural networks with dynamical thresholds

Reference 63

Resolution: verified exact; doi, observed 2026-05-22T02:00:54.803207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7c206a1f-d31d-4ede-8d00-fe5c14ae4a09 · outbound

This paper cites Syntactic sequencing in Hebbian cell assemblies.

Learning sequence timing and control of replay speed in networks of spiking neurons Syntactic sequencing in Hebbian cell assemblies

Reference 64

Resolution: verified exact; doi, observed 2026-05-22T02:00:54.840022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1029d2ba-2df8-4b97-a467-c281d9e652e6 · outbound

This paper cites Chari and L.

Learning sequence timing and control of replay speed in networks of spiking neurons Chari and L

Reference 65

Resolution: malformed identifier; doi_truncated, observed 2026-05-22T02:00:54.856569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b47d8254-668c-44ca-a143-c2a1e27fbd7c · outbound

This paper cites Probabilistic associative learning suffices for learning the temporal structure of multiple sequences.

Learning sequence timing and control of replay speed in networks of spiking neurons Probabilistic associative learning suffices for learning the temporal structure of multiple sequences

Reference 66

Resolution: verified exact; doi, observed 2026-05-22T02:00:54.863905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ebfa69e0-4de6-4cf9-8aed-fc4b40615779 · outbound

This paper cites Unsupervised learning of persistent and sequential activity.

Learning sequence timing and control of replay speed in networks of spiking neurons Unsupervised learning of persistent and sequential activity

Reference 67

Resolution: malformed identifier; arxiv_id, observed 2026-05-22T02:00:54.833474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6b018648-db33-4c2d-b58d-495237b4711e · outbound

This paper cites Vehicles, Experiments in Synthetic Psychology.

Learning sequence timing and control of replay speed in networks of spiking neurons Vehicles, Experiments in Synthetic Psychology

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T02:00:55.562023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f19b04f8-aff4-4f8c-826e-fa499bb89b26 · outbound

This paper cites A neurocomputational model for optimal temporal processing.

Learning sequence timing and control of replay speed in networks of spiking neurons A neurocomputational model for optimal temporal processing

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T02:00:55.549442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ecb0290f-dc92-454f-9938-65692d5be472 · outbound

This paper cites Time cells in the hippocampus: a new dimension for mapping memories.

Learning sequence timing and control of replay speed in networks of spiking neurons Time cells in the hippocampus: a new dimension for mapping memories

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T02:00:55.499077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 29755780-98ea-4c80-aea2-6c7bcbd64bac · outbound

This paper cites Sequential firing codes for time in rodent medial prefrontal cortex.

Learning sequence timing and control of replay speed in networks of spiking neurons Sequential firing codes for time in rodent medial prefrontal cortex

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T02:00:55.537982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation de191aa1-d852-41ec-bd3a-4a5d560ecdad · outbound

This paper cites Internally generated time in the rodent hippocampus is logarithmically compressed.

Learning sequence timing and control of replay speed in networks of spiking neurons Internally generated time in the rodent hippocampus is logarithmically compressed

Reference 72

Resolution: verified exact; doi, observed 2026-05-22T02:00:54.799637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 142cb66d-1850-4e35-ba79-8d4e575c2957 · outbound

This paper cites Cortical oscillations support sampling-based computations in spiking neural networks.

Learning sequence timing and control of replay speed in networks of spiking neurons Cortical oscillations support sampling-based computations in spiking neural networks

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T02:00:55.556235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d6c097ba-ac49-4e31-a12f-dc3bb010b723 · outbound

This paper cites Phase-of-Firing Coding of Natural Visual Stimuli in Primary Visual Cortex.

Learning sequence timing and control of replay speed in networks of spiking neurons Phase-of-Firing Coding of Natural Visual Stimuli in Primary Visual Cortex

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T02:00:55.528683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8d980ffa-8abe-4b22-a990-ae75092fcbf6 · outbound

This paper cites Analysis of Slow (Theta) Oscillations as a Potential Temporal Reference Frame for Information Coding in Sensory Cortices.

Learning sequence timing and control of replay speed in networks of spiking neurons Analysis of Slow (Theta) Oscillations as a Potential Temporal Reference Frame for Information Coding in Sensory Cortices

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T02:00:55.565050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3412b75d-7230-473d-9b4f-b4eebfd62cc9 · outbound

This paper cites Transient slow gamma synchrony underlies hippocampal memory replay.

Learning sequence timing and control of replay speed in networks of spiking neurons Transient slow gamma synchrony underlies hippocampal memory replay

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T02:00:55.511176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 73252271-ab2b-4293-9a68-91594ccfcd0d · outbound

This paper cites Hippocampal Replay Is Not a Simple Function of Experience.

Learning sequence timing and control of replay speed in networks of spiking neurons Hippocampal Replay Is Not a Simple Function of Experience

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T02:00:55.441739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e8f3fa35-9651-4117-97b5-ba3c4c6777bb · outbound

This paper cites Hippocampal place cell sequences depict future paths to remembered goals.

Learning sequence timing and control of replay speed in networks of spiking neurons Hippocampal place cell sequences depict future paths to remembered goals

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T02:00:55.444539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0d8a7cae-78b5-4504-a3f2-3d4e4236afaf · outbound

This paper cites Code and data for Lober et al.

Learning sequence timing and control of replay speed in networks of spiking neurons Code and data for Lober et al

Reference 79

Resolution: verified exact; doi, observed 2026-05-22T02:00:54.848688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7e34020e-6369-4a7d-bbb6-972770d72221 · outbound

This paper cites Scikit-learn: Machine Learning in Python.

Learning sequence timing and control of replay speed in networks of spiking neurons Scikit-learn: Machine Learning in Python

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T02:00:55.427469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ef05e764-887a-4897-851c-b7b84a7aaedc · outbound

This paper cites Functional Neural Architectures.

Learning sequence timing and control of replay speed in networks of spiking neurons Functional Neural Architectures

Reference 81

Resolution: verified exact; doi, observed 2026-05-22T02:00:54.860330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 744d6797-5ec4-4db8-8094-cd4d8051e631 · outbound

This paper cites Deep Learning.

Learning sequence timing and control of replay speed in networks of spiking neurons Deep Learning

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T02:00:55.449790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 921b9899-d15a-4938-b5fe-3af491c6f3a1 · outbound

This paper cites Taking the human out of the loop: A review of Bayesian optimization.

Learning sequence timing and control of replay speed in networks of spiking neurons Taking the human out of the loop: A review of Bayesian optimization

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T02:00:55.447058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c6980c03-e16d-4535-bedf-8e2f3db50017 · outbound

This paper cites Experiment Tracking with Weights and Biases; 2020.

Learning sequence timing and control of replay speed in networks of spiking neurons Experiment Tracking with Weights and Biases; 2020

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T02:00:55.433255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 616b77b7-9415-4a29-900d-0c0015a36d1f · outbound

This paper cites How do neurons operate on sparse distributed representations? A mathematical theory of sparsity, neurons and active dendrites.

Learning sequence timing and control of replay speed in networks of spiking neurons How do neurons operate on sparse distributed representations? A mathematical theory of sparsity, neurons and active dendrites

Reference 85

Resolution: verified exact; local_arxiv, observed 2026-05-22T02:00:55.051098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8abbcbfa-0cb0-47e8-9f88-f64fcb3179a8 · outbound

This paper cites Constraints on sequence processing speed in biological neuronal networks.

Learning sequence timing and control of replay speed in networks of spiking neurons Constraints on sequence processing speed in biological neuronal networks

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T02:00:55.455635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation db54219d-f42e-45dc-8e4d-944ee8ccd8ce · outbound

This paper cites NEST (NEural Simulation Tool).

Learning sequence timing and control of replay speed in networks of spiking neurons NEST (NEural Simulation Tool)

Reference 87

Resolution: verified exact; doi, observed 2026-05-22T02:00:54.810165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 097b5612-40dd-4606-953b-fafefab7367f · outbound

This paper cites NEST 3.8.

Learning sequence timing and control of replay speed in networks of spiking neurons NEST 3.8

Reference 88

Resolution: verified exact; doi, observed 2026-05-22T02:00:54.813540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6e85d48b-e198-4681-8d2f-1e203b899e17 · outbound

This paper cites NESTML: a modeling language for spiking neurons.

Learning sequence timing and control of replay speed in networks of spiking neurons NESTML: a modeling language for spiking neurons

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T02:00:55.469398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8728abdc-d8e0-497e-b0e2-3f8c0cfb1871 · outbound

This paper cites NESTML: a generic modeling language and code generation tool for the simulation of spiking neural networks with advanced plasticity rules.

Learning sequence timing and control of replay speed in networks of spiking neurons NESTML: a generic modeling language and code generation tool for the simulation of spiking neural networks with advanced plasticity rules

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-05-22T02:00:55.466734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0ce213a0-68b2-4c2f-9124-084245ddbfa6 · outbound

This paper cites NESTML 8.0.0.

Learning sequence timing and control of replay speed in networks of spiking neurons NESTML 8.0.0

Reference 91

Resolution: verified exact; doi, observed 2026-05-22T02:00:54.820025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 452383f3-fdd0-42d0-a21b-501d769aba61 · outbound

This paper cites Exact digital simulation of time-invariant linear systems with applications to neuronal modeling.

Learning sequence timing and control of replay speed in networks of spiking neurons Exact digital simulation of time-invariant linear systems with applications to neuronal modeling

Reference 92

Resolution: malformed identifier; raw_fallback, observed 2026-05-22T02:00:55.481060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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