Eligibility Traces and Plasticity on Behavioral Time Scales: Experimental Support of NeoHebbian Three-Factor Learning Rules

A silent eligibility trace enables dopamine-dependent synaptic plasticity for reinforcement learning in the mouse striatum

(2018) Tomomi Shindou et al.   EUROPEAN JOURNAL OF NEUROSCIENCE

Control of synaptic plasticity in deep cortical networks

(2018) Pieter R. Roelfsema et al.   NATURE REVIEWS NEUROSCIENCE

Balancing New against Old Information: The Role of Puzzlement Surprise in Learning

(2018) Mohammadjavad Faraji et al.   NEURAL COMPUTATION

Glutamatergic synapses are structurally and biochemically complex because of multiple plasticity processes: long-term potentiation, long-term depression, short-term potentiation and scaling

(2017) John Lisman   PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES

Behavioral time scale synaptic plasticity underlies CA1 place fields

(2017) Katie C. Bittner et al.   SCIENCE

Opposite initialization to novel cues in dopamine signaling in ventral and posterior striatum in mice

(2017) William Menegas et al.   eLife

Towards deep learning with segregated dendrites

(2017) Jordan Guerguiev et al.   eLife

Sequential neuromodulation of Hebbian plasticity offers mechanism for effective reward-based navigation

(2017) Zuzanna Brzosko et al.   eLife

Brain structure and dynamics across scales: in search of rules

(2016) Xiao-Jing Wang et al.   CURRENT OPINION IN NEUROBIOLOGY

Locus coeruleus and dopaminergic consolidation of everyday memory

(2016) Tomonori Takeuchi et al.   NATURE

Computational principles of synaptic memory consolidation

(2016) Marcus K Benna et al.   NATURE NEUROSCIENCE

Active inference and learning

(2016) Karl Friston et al.   NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS

Neuromodulated Spike-Timing-Dependent Plasticity, and Theory of Three-Factor Learning Rules

(2016) Nicolas Frémaux et al.   Frontiers in Neural Circuits

Random synaptic feedback weights support error backpropagation for deep learning

(2016) Timothy P. Lillicrap et al.   Nature Communications

Prospective Coding by Spiking Neurons

(2016) Johanni Brea et al.   PLoS Computational Biology

Human Inferences about Sequences: A Minimal Transition Probability Model

(2016) Florent Meyniel et al.   PLoS Computational Biology

Synaptic Consolidation: From Synapses to Behavioral Modeling

(2015) L. Ziegler et al.   JOURNAL OF NEUROSCIENCE

Conjunctive input processing drives feature selectivity in hippocampal CA1 neurons

(2015) Katie C Bittner et al.   NATURE NEUROSCIENCE

A computational analysis of the neural bases of Bayesian inference

(2015) Antonio Kolossa et al.   NEUROIMAGE

Learning Enhances Sensory and Multiple Non-sensory Representations in Primary Visual Cortex

(2015) Jasper Poort et al.   NEURON

Distinct Eligibility Traces for LTP and LTD in Cortical Synapses

(2015) Kaiwen He et al.   NEURON

The Formation of Multi-synaptic Connections by the Interaction of Synaptic and Structural Plasticity and Their Functional Consequences

(2015) Michael Fauth et al.   PLoS Computational Biology

How Attention Can Create Synaptic Tags for the Learning of Working Memories in Sequential Tasks

(2015) Jaldert O. Rombouts et al.   PLoS Computational Biology

Retroactive modulation of spike timing-dependent plasticity by dopamine

(2015) Zuzanna Brzosko et al.   eLife

Uncertainty in perception and the Hierarchical Gaussian Filter

(2014) Christoph D. Mathys et al.   Frontiers in Human Neuroscience

Structural and Molecular Remodeling of Dendritic Spine Substructures during Long-Term Potentiation

(2014) Miquel Bosch et al.   NEURON

Learning by the Dendritic Prediction of Somatic Spiking

(2014) Robert Urbanczik et al.   NEURON

A critical time window for dopamine actions on the structural plasticity of dendritic spines

(2014) S. Yagishita et al.   SCIENCE

Stochastic variational learning in recurrent spiking networks

(2014) Danilo Jimenez Rezende et al.   Frontiers in Computational Neuroscience

A Model-Based Approach to Trial-By-Trial P300 Amplitude Fluctuations

(2013) Antonio Kolossa et al.   Frontiers in Human Neuroscience

Matching Recall and Storage in Sequence Learning with Spiking Neural Networks

(2013) J. Brea et al.   JOURNAL OF NEUROSCIENCE

Diversity and Homogeneity in Responses of Midbrain Dopamine Neurons

(2013) C. D. Fiorillo et al.   JOURNAL OF NEUROSCIENCE

AMPARs and Synaptic Plasticity: The Last 25 Years

(2013) Richard L. Huganir et al.   NEURON

Dissecting the diversity of midbrain dopamine neurons

(2013) Jochen Roeper   TRENDS IN NEUROSCIENCES

Learning and exploration in action-perception loops

(2013) Daniel Y. Little et al.   Frontiers in Neural Circuits

Reinforcement Learning Using a Continuous Time Actor-Critic Framework with Spiking Neurons

(2013) Nicolas Frémaux et al.   PLoS Computational Biology

Conditional modulation of spike-timing-dependent plasticity for olfactory learning

(2012) Stijn Cassenaer et al.   NATURE

Action Selection and Action Value in Frontal-Striatal Circuits

(2012) Moonsang Seo et al.   NEURON

Spike-Timing Dependence of Structural Plasticity Explains Cooperative Synapse Formation in the Neocortex

(2012) Moritz Deger et al.   PLoS Computational Biology

A Bayesian foundation for individual learning under uncertainty

(2011) Christoph Mathys   Frontiers in Human Neuroscience

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

(2011) J. Gjorgjieva et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

A neoHebbian framework for episodic memory; role of dopamine-dependent late LTP

(2011) John Lisman et al.   TRENDS IN NEUROSCIENCES

Functional Requirements for Reward-Modulated Spike-Timing-Dependent Plasticity

(2010) N. Fremaux et al.   JOURNAL OF NEUROSCIENCE

An Approximately Bayesian Delta-Rule Model Explains the Dynamics of Belief Updating in a Changing Environment

(2010) M. R. Nassar et al.   JOURNAL OF NEUROSCIENCE

Connectivity reflects coding: a model of voltage-based STDP with homeostasis

(2010) Claudia Clopath et al.   NATURE NEUROSCIENCE

The free-energy principle: a unified brain theory?

(2010) Karl Friston   NATURE REVIEWS NEUROSCIENCE

Making memories last: the synaptic tagging and capture hypothesis

(2010) Roger L. Redondo et al.   NATURE REVIEWS NEUROSCIENCE

Perceptual learning rules based on reinforcers and attention

(2010) Pieter R. Roelfsema et al.   TRENDS IN COGNITIVE SCIENCES

Formal Theory of Creativity, Fun, and Intrinsic Motivation (1990–2010)

(2010) Jürgen Schmidhuber   IEEE Transactions on Autonomous Mental Development

RESPONSE ACQUISITION BY HUMANS WITH DELAYED REINFORCEMENT

(2009) Hiroto Okouchi   JOURNAL OF THE EXPERIMENTAL ANALYSIS OF BEHAVIOR

Reinforcement learning in populations of spiking neurons

(2009) Robert Urbanczik et al.   NATURE NEUROSCIENCE

State-dependent computations: spatiotemporal processing in cortical networks

(2009) Dean V. Buonomano et al.   NATURE REVIEWS NEUROSCIENCE

Generating Coherent Patterns of Activity from Chaotic Neural Networks

(2009) David Sussillo et al.   NEURON

Gain in sensitivity and loss in temporal contrast of STDP by dopaminergic modulation at hippocampal synapses

(2009) J.-C. Zhang et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Structural plasticity controlled by calcium based correlation detection

(2009) Moritz Helias   Frontiers in Computational Neuroscience

State Based Model of Long-Term Potentiation and Synaptic Tagging and Capture

(2009) Adam B. Barrett et al.   PLoS Computational Biology

Spike-Based Reinforcement Learning in Continuous State and Action Space: When Policy Gradient Methods Fail

(2009) Eleni Vasilaki et al.   PLoS Computational Biology

Synaptic Theory of Working Memory

(2008) G. Mongillo et al.   SCIENCE

Bayesian surprise attracts human attention

(2008) Laurent Itti et al.   VISION RESEARCH

Tag-Trigger-Consolidation: A Model of Early and Late Long-Term-Potentiation and Depression

(2008) Claudia Clopath et al.   PLoS Computational Biology

A Learning Theory for Reward-Modulated Spike-Timing-Dependent Plasticity with Application to Biofeedback

(2008) Robert Legenstein et al.   PLoS Computational Biology