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Synaptic plasticity as Bayesian inference

Nature neuroscience, 2021-04, Vol.24 (4), p.565-571

2021

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Triplets of Spikes in a Model of Spike Timing-Dependent Plasticity

The Journal of neuroscience, 2006-09, Vol.26 (38), p.9673-9682

2006

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Online Maximum-Likelihood Estimation of the Parameters of Partially Observed Diffusion Processes

IEEE transactions on automatic control, 2019-07, Vol.64 (7), p.2814-2829

2019

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Nerve injury-induced neuropathic pain causes disinhibition of the anterior cingulate cortex

The Journal of neuroscience, 2014-04, Vol.34 (17), p.5754-5764

2014

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triplet spike-timing–dependent plasticity model generalizes the Bienenstock–Cooper–Munro rule to higher-order spatiotemporal correlations

Proceedings of the National Academy of Sciences - PNAS, 2011-11, Vol.108 (48), p.19383-19388

2011

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On the choice of metric in gradient-based theories of brain function

PLoS computational biology, 2020-04, Vol.16 (4), p.e1007640-e1007640

2020

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Nonlinear Bayesian filtering and learning: a neuronal dynamics for perception

Scientific reports, 2017-08, Vol.7 (1), p.8722-13, Article 8722

2017

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Identifiability of a Binomial Synapse

Frontiers in computational neuroscience, 2020-09, Vol.14, p.558477-558477

2020

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Learning as filtering: Implications for spike-based plasticity

PLoS computational biology, 2022-02, Vol.18 (2), p.e1009721-e1009721

2022

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Efficient sampling-based Bayesian Active Learning for synaptic characterization

PLoS computational biology, 2023-08, Vol.19 (8), p.e1011342

2023

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Optimal Spike-Timing-Dependent Plasticity for Precise Action Potential Firing in Supervised Learning

Neural computation, 2006-06, Vol.18 (6), p.1318-1348

2006

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Bayesian regression explains how human participants handle parameter uncertainty

PLoS computational biology, 2020-05, Vol.16 (5), p.e1007886-e1007886

2020

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A Statistical Model for In Vivo Neuronal Dynamics

PloS one, 2015-11, Vol.10 (11), p.e0142435-e0142435

2015

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How to Avoid the Curse of Dimensionality: Scalability of Particle Filters with and without Importance Weights

SIAM review, 2019, Vol.61 (1), p.79-91

2019

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Matching recall and storage in sequence learning with spiking neural networks

The Journal of neuroscience, 2013-06, Vol.33 (23), p.9565-9575

2013

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Model-Based Inference of Synaptic Transmission

Frontiers in synaptic neuroscience, 2019-08, Vol.11, p.21

2019

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Generalized Bienenstock-Cooper-Munro Rule for Spiking Neurons That Maximizes Information Transmission

Proceedings of the National Academy of Sciences - PNAS, 2005-04, Vol.102 (14), p.5239-5244

2005

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A Unification of Weighted and Unweighted Particle Filters

SIAM journal on control and optimization, 2022-01, Vol.60 (2), p.597-619

2022

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STDP in Oscillatory Recurrent Networks: Theoretical Conditions for Desynchronization and Applications to Deep Brain Stimulation

Frontiers in computational neuroscience, 2010, Vol.4

2010

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Propagation of Spiking Moments in Linear Hawkes Networks

SIAM journal on applied dynamical systems, 2020-01, Vol.19 (2), p.828-859

2020

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Generalized priority-based model for smartphone screen touches

Physical review. E, 2020-07, Vol.102 (1), p.012307-012307, Article 012307

2020

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Synapses with short-term plasticity are optimal estimators of presynaptic membrane potentials

Nature neuroscience, 2010-10, Vol.13 (10), p.1271-1275

2010

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Optimality Model of Unsupervised Spike-Timing-Dependent Plasticity: Synaptic Memory and Weight Distribution

Neural computation, 2007-03, Vol.19 (3), p.639-671

2007

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Correction: Bayesian regression explains how human participants handle parameter uncertainty

PLoS computational biology, 2022-03, Vol.18 (3), p.e1009932-e1009932

2022

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Asymptotically Exact Unweighted Particle Filter for Manifold-Valued Hidden States and Point Process Observations

IEEE control systems letters, 2020-04, Vol.4 (2), p.480-485

2020

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Synaptic plasticity as Bayesian inference

Triplets of Spikes in a Model of Spike Timing-Dependent Plasticity

Online Maximum-Likelihood Estimation of the Parameters of Partially Observed Diffusion Processes

Nerve injury-induced neuropathic pain causes disinhibition of the anterior cingulate cortex

triplet spike-timing–dependent plasticity model generalizes the Bienenstock–Cooper–Munro rule to higher-order spatiotemporal correlations

On the choice of metric in gradient-based theories of brain function

Nonlinear Bayesian filtering and learning: a neuronal dynamics for perception

Identifiability of a Binomial Synapse

Learning as filtering: Implications for spike-based plasticity

Efficient sampling-based Bayesian Active Learning for synaptic characterization

Optimal Spike-Timing-Dependent Plasticity for Precise Action Potential Firing in Supervised Learning

Bayesian regression explains how human participants handle parameter uncertainty

A Statistical Model for In Vivo Neuronal Dynamics

How to Avoid the Curse of Dimensionality: Scalability of Particle Filters with and without Importance Weights

Matching recall and storage in sequence learning with spiking neural networks

Model-Based Inference of Synaptic Transmission

Generalized Bienenstock-Cooper-Munro Rule for Spiking Neurons That Maximizes Information Transmission

A Unification of Weighted and Unweighted Particle Filters

STDP in Oscillatory Recurrent Networks: Theoretical Conditions for Desynchronization and Applications to Deep Brain Stimulation

Propagation of Spiking Moments in Linear Hawkes Networks

Generalized priority-based model for smartphone screen touches

Synapses with short-term plasticity are optimal estimators of presynaptic membrane potentials

Optimality Model of Unsupervised Spike-Timing-Dependent Plasticity: Synaptic Memory and Weight Distribution

Correction: Bayesian regression explains how human participants handle parameter uncertainty

Asymptotically Exact Unweighted Particle Filter for Manifold-Valued Hidden States and Point Process Observations

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