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Learning precise spatiotemporal sequences via biophysically realistic learning rules in a modular, spiking network

eLife, 2021-03, Vol.10

2021

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Network dynamics of Broca's area during word selection

PloS one, 2019-12, Vol.14 (12), p.e0225756-e0225756

2019

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biophysically-based neuromorphic model of spike rate- and timing-dependent plasticity

Proceedings of the National Academy of Sciences - PNAS, 2011-12, Vol.108 (49), p.E1266-E1274

2011

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Visually Cued Action Timing in the Primary Visual Cortex

Neuron (Cambridge, Mass.), 2015-04, Vol.86 (1), p.319-330

2015

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Behavioral Time Scale Plasticity of Place Fields: Mathematical Analysis

Frontiers in computational neuroscience, 2021-03, Vol.15, p.640235-640235

2021

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A Unified Model of NMDA Receptor-Dependent Bidirectional Synaptic Plasticity

Proceedings of the National Academy of Sciences - PNAS, 2002-08, Vol.99 (16), p.10831-10836

2002

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What is the appropriate description level for synaptic plasticity?

Proceedings of the National Academy of Sciences - PNAS, 2011-11, Vol.108 (48), p.19103-19104

Shouval, Harel Z.

2011

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Spike timing dependent plasticity: a consequence of more fundamental learning rules

Frontiers in computational neuroscience, 2010-07, Vol.4

2010

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Clusters of Interacting Receptors Can Stabilize Synaptic Efficacies

Proceedings of the National Academy of Sciences - PNAS, 2005-10, Vol.102 (40), p.14440-14445

2005

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Structural plasticity can produce metaplasticity

PloS one, 2009-11, Vol.4 (11), p.e8062-e8062

2009

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Correction: Learning precise spatiotemporal sequences via biophysically realistic learning rules in a modular, spiking network

eLife, 2023-03, Vol.12

2023

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Learning reward timing in cortex through reward dependent expression of synaptic plasticity

Proceedings of the National Academy of Sciences - PNAS, 2009-04, Vol.106 (16), p.6826-6831

2009

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Active intrinsic conductances in recurrent networks allow for long-lasting transients and sustained activity with realistic firing rates as well as robust plasticity

Journal of computational neuroscience, 2022-02, Vol.50 (1), p.121-132

2022

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The Role of Multiple Neuromodulators in Reinforcement Learning That Is Based on Competition between Eligibility Traces

Frontiers in synaptic neuroscience, 2016, Vol.8, p.37-37

2016

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Stochastic Properties of Synaptic Transmission Affect the Shape of Spike Time-Dependent Plasticity Curves

Journal of neurophysiology, 2005-02, Vol.93 (2), p.1069-1073

2005

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Atypical PKCs in Memory Maintenance: The Roles of Feedback and Redundancy

Learning & memory (Cold Spring Harbor, N.Y.), 2015-07, Vol.22 (7), p.344-353

2015

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A Biophysical Model of Bidirectional Synaptic Plasticity: Dependence on AMPA and NMDA Receptors

Proceedings of the National Academy of Sciences - PNAS, 2001-10, Vol.98 (22), p.12772-12777

2001

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What does scalar timing tell us about neural dynamics?

Frontiers in human neuroscience, 2014-06, Vol.8, p.438-438

2014

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Synaptic Homeostasis and Input Selectivity Follow from a Calcium-Dependent Plasticity Model

Proceedings of the National Academy of Sciences - PNAS, 2004-10, Vol.101 (41), p.14943-14948

2004

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Monocular deprivation induces homosynaptic long-term depression in visual cortex

Nature (London), 1999-01, Vol.397 (6717), p.347-350

1999

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Persistent increased PKMζ in long-term and remote spatial memory

Neurobiology of learning and memory, 2017-02, Vol.138, p.135-144

2017

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On the precision of quasi steady state assumptions in stochastic dynamics

The Journal of chemical physics, 2012-07, Vol.137 (4), p.044105-044105

2012

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A Simple Network Architecture Accounts for Diverse Reward Time Responses in Primary Visual Cortex

The Journal of neuroscience, 2015-09, Vol.35 (37), p.12659-12672

2015

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Networks that learn the precise timing of event sequences

Journal of computational neuroscience, 2015-12, Vol.39 (3), p.235-254

2015

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Learning precise spatiotemporal sequences via biophysically realistic learning rules in a modular, spiking network

Network dynamics of Broca's area during word selection

biophysically-based neuromorphic model of spike rate- and timing-dependent plasticity

Visually Cued Action Timing in the Primary Visual Cortex

Behavioral Time Scale Plasticity of Place Fields: Mathematical Analysis

Compensation for PKMζ in long-term potentiation and spatial long-term memory in mutant mice

A Unified Model of NMDA Receptor-Dependent Bidirectional Synaptic Plasticity

What is the appropriate description level for synaptic plasticity?

Spike timing dependent plasticity: a consequence of more fundamental learning rules

Clusters of Interacting Receptors Can Stabilize Synaptic Efficacies

Structural plasticity can produce metaplasticity

Correction: Learning precise spatiotemporal sequences via biophysically realistic learning rules in a modular, spiking network

Learning reward timing in cortex through reward dependent expression of synaptic plasticity

Active intrinsic conductances in recurrent networks allow for long-lasting transients and sustained activity with realistic firing rates as well as robust plasticity

The Role of Multiple Neuromodulators in Reinforcement Learning That Is Based on Competition between Eligibility Traces

Stochastic Properties of Synaptic Transmission Affect the Shape of Spike Time-Dependent Plasticity Curves

Atypical PKCs in Memory Maintenance: The Roles of Feedback and Redundancy

A Biophysical Model of Bidirectional Synaptic Plasticity: Dependence on AMPA and NMDA Receptors

What does scalar timing tell us about neural dynamics?

Synaptic Homeostasis and Input Selectivity Follow from a Calcium-Dependent Plasticity Model

Monocular deprivation induces homosynaptic long-term depression in visual cortex

Persistent increased PKMζ in long-term and remote spatial memory

On the precision of quasi steady state assumptions in stochastic dynamics

A Simple Network Architecture Accounts for Diverse Reward Time Responses in Primary Visual Cortex

Networks that learn the precise timing of event sequences

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