Biologically plausible learning in recurrent neural networks reproduces neural dynamics observed during cognitive tasks

Recurrent Network Models of Sequence Generation and Memory

(2016) Kanaka Rajan et al.   NEURON

Training Excitatory-Inhibitory Recurrent Neural Networks for Cognitive Tasks: A Simple and Flexible Framework

(2016) H. Francis Song et al.   PLoS Computational Biology

A neural network that finds a naturalistic solution for the production of muscle activity

(2015) David Sussillo et al.   NATURE NEUROSCIENCE

‘Activity-silent’ working memory in prefrontal cortex: a dynamic coding framework

(2015) Mark G. Stokes   TRENDS IN COGNITIVE SCIENCES

Benchmarking of dynamic simulation predictions in two software platforms using an upper limb musculoskeletal model

(2014) Katherine R. Saul et al.   COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING

A category-free neural population supports evolving demands during decision-making

(2014) David Raposo et al.   NATURE NEUROSCIENCE

Optimal Control of Transient Dynamics in Balanced Networks Supports Generation of Complex Movements

(2014) Guillaume Hennequin et al.   NEURON

Reinforcement learning in robotics: A survey

(2013) Jens Kober et al.   INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH

Neuronal Population Coding of Parametric Working Memory

(2013) O. Barak et al.   JOURNAL OF NEUROSCIENCE

Context-dependent computation by recurrent dynamics in prefrontal cortex

(2013) Valerio Mante et al.   NATURE

The importance of mixed selectivity in complex cognitive tasks

(2013) Mattia Rigotti et al.   NATURE

Robust timing and motor patterns by taming chaos in recurrent neural networks

(2013) Rodrigo Laje et al.   NATURE NEUROSCIENCE

Solving the Distal Reward Problem with Rare Correlations

(2013) Andrea Soltoggio et al.   NEURAL COMPUTATION

Dynamic Coding for Cognitive Control in Prefrontal Cortex

(2013) Mark G. Stokes et al.   NEURON

From fixed points to chaos: Three models of delayed discrimination

(2013) Omri Barak et al.   PROGRESS IN NEUROBIOLOGY

Emergence of Complex Computational Structures From Chaotic Neural Networks Through Reward-Modulated Hebbian Learning

(2012) Gregor M. Hoerzer et al.   CEREBRAL CORTEX

Neural population dynamics during reaching

(2012) Mark M. Churchland et al.   NATURE

Heterogenous Population Coding of a Short-Term Memory and Decision Task

(2010) J. K. Jun et al.   JOURNAL OF NEUROSCIENCE

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

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

A Reward-Modulated Hebbian Learning Rule Can Explain Experimentally Observed Network Reorganization in a Brain Control Task

(2010) R. Legenstein et al.   JOURNAL OF 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

Dynamic Population Coding of Category Information in Inferior Temporal and Prefrontal Cortex

(2008) Ethan M. Meyers et al.   JOURNAL OF NEUROPHYSIOLOGY

Reinforcement learning of motor skills with policy gradients

(2008) Jan Peters et al.   NEURAL NETWORKS