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An Approximation of the Error Backpropagation Algorithm in a Predictive Coding Network with Local Hebbian Synaptic Plasticity

Neural computation, 2017-05, Vol.29 (5), p.1229-1262

2017

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Mean-Field Approximations With Adaptive Coupling for Networks With Spike-Timing-Dependent Plasticity

Neural computation, 2023-08, Vol.35 (9), p.1481

2023

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Strong Allee Effect Synaptic Plasticity Rule in an Unsupervised Learning Environment

Neural computation, 2023-04, Vol.35 (5), p.896-929

Kwessi, Eddy

2023

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Distributed Phase Oscillatory Excitation Efficiently Produces Attractors Using Spike-Timing-Dependent Plasticity

Neural computation, 2022-01, Vol.34 (2), p.415-436

Wong, Eric C

2022

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A Computational Study on Synaptic Plasticity Regulation and Information Processing in Neuron-Astrocyte Networks

Neural computation, 2021-06, Vol.33 (7), p.1970-1992

2021

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Toward a Brain-Inspired Developmental Neural Network Based on Dendritic Spine Dynamics

Neural computation, 2021-12, Vol.34 (1), p.172-189

2021

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Learning Spatiotemporally Encoded Pattern Transformations in Structured Spiking Neural Networks

Neural computation, 2015-12, Vol.27 (12), p.2548-2586

2015

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A Unifying Framework of Synaptic and Intrinsic Plasticity in Neural Populations

Neural computation, 2018-04, Vol.30 (4), p.945-986

2018

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Supervised Spike-Timing-Dependent Plasticity: A Spatiotemporal Neuronal Learning Rule for Function Approximation and Decisions

Neural computation, 2013-12, Vol.25 (12), p.3113-3130

2013

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Tracking Fast and Slow Changes in Synaptic Weights From Simultaneously Observed Pre- and Postsynaptic Spiking

Neural computation, 2021-09, Vol.33 (10), p.2682-2709

2021

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Polychronization: Computation with Spikes

Neural computation, 2006-02, Vol.18 (2), p.245-282

Izhikevich, Eugene M.

2006

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A Biological Gradient Descent for Prediction Through a Combination of STDP and Homeostatic Plasticity

Neural computation, 2013-11, Vol.25 (11), p.2815-2832

2013

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Dynamic Analysis of Neural Encoding by Point Process Adaptive Filtering

Neural computation, 2004-05, Vol.16 (5), p.971-998

2004

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Machine-Learning-Based Coadaptive Calibration for Brain-Computer Interfaces

Neural computation, 2011-03, Vol.23 (3), p.791-816

2011

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Dynamical Synapses Enhance Neural Information Processing: Gracefulness, Accuracy, and Mobility

Neural computation, 2012-05, Vol.24 (5), p.1147-1185

2012

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Controlling Complexity of Cerebral Cortex Simulations—II: Streamlined Microcircuits

Neural computation, 2019-06, Vol.31 (6), p.1066-1084

2019

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Spike-Driven Synaptic Plasticity: Theory, Simulation, VLSI Implementation

Neural computation, 2000-10, Vol.12 (10), p.2227-2258

2000

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Rhythmic Inhibition Allows Neural Networks to Search for Maximally Consistent States

Neural computation, 2015-12, Vol.27 (12), p.2510-2547

2015

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Reconciling the STDP and BCM Models of Synaptic Plasticity in a Spiking Recurrent Neural Network

Neural computation, 2010-08, Vol.22 (8), p.2059-2085

2010

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Collective Stability of Networks of Winner-Take-All Circuits

Neural computation, 2011-03, Vol.23 (3), p.735-773

2011

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Memory Nearly on a Spring: A Mean First Passage Time Approach to Memory Lifetimes

Neural computation, 2014-09, Vol.26 (9), p.1873-1923

Elliott, Terry

2014

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Cross-Talk Induces Bifurcations in Nonlinear Models of Synaptic Plasticity

Neural computation, 2012-02, Vol.24 (2), p.455-522

Elliott, Terry

2012

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Stochastic Perturbation Methods for Spike-Timing-Dependent Plasticity

Neural computation, 2012-05, Vol.24 (5), p.1109-1146

2012

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Synaptic Scaling Improves the Stability of Neural Mass Models Capable of Simulating Brain Plasticity

Neural computation, 2020-02, Vol.32 (2), p.424-446

2020

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Solving the Distal Reward Problem with Rare Correlations

Neural computation, 2013-04, Vol.25 (4), p.940-978

2013

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An Approximation of the Error Backpropagation Algorithm in a Predictive Coding Network with Local Hebbian Synaptic Plasticity

Mean-Field Approximations With Adaptive Coupling for Networks With Spike-Timing-Dependent Plasticity

Strong Allee Effect Synaptic Plasticity Rule in an Unsupervised Learning Environment

Distributed Phase Oscillatory Excitation Efficiently Produces Attractors Using Spike-Timing-Dependent Plasticity

A Computational Study on Synaptic Plasticity Regulation and Information Processing in Neuron-Astrocyte Networks

Toward a Brain-Inspired Developmental Neural Network Based on Dendritic Spine Dynamics

Learning Spatiotemporally Encoded Pattern Transformations in Structured Spiking Neural Networks

A Unifying Framework of Synaptic and Intrinsic Plasticity in Neural Populations

Supervised Spike-Timing-Dependent Plasticity: A Spatiotemporal Neuronal Learning Rule for Function Approximation and Decisions

Tracking Fast and Slow Changes in Synaptic Weights From Simultaneously Observed Pre- and Postsynaptic Spiking

Polychronization: Computation with Spikes

A Biological Gradient Descent for Prediction Through a Combination of STDP and Homeostatic Plasticity

Dynamic Analysis of Neural Encoding by Point Process Adaptive Filtering

Machine-Learning-Based Coadaptive Calibration for Brain-Computer Interfaces

Dynamical Synapses Enhance Neural Information Processing: Gracefulness, Accuracy, and Mobility

Controlling Complexity of Cerebral Cortex Simulations—II: Streamlined Microcircuits

Spike-Driven Synaptic Plasticity: Theory, Simulation, VLSI Implementation

Rhythmic Inhibition Allows Neural Networks to Search for Maximally Consistent States

Reconciling the STDP and BCM Models of Synaptic Plasticity in a Spiking Recurrent Neural Network

Collective Stability of Networks of Winner-Take-All Circuits

Memory Nearly on a Spring: A Mean First Passage Time Approach to Memory Lifetimes

Cross-Talk Induces Bifurcations in Nonlinear Models of Synaptic Plasticity

Stochastic Perturbation Methods for Spike-Timing-Dependent Plasticity

Synaptic Scaling Improves the Stability of Neural Mass Models Capable of Simulating Brain Plasticity

Solving the Distal Reward Problem with Rare Correlations

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