Building functional networks of spiking model neurons

Efficient codes and balanced networks

(2016) Sophie Denève et al.   NATURE NEUROSCIENCE

Constructing Precisely Computing Networks with Biophysical Spiking Neurons

(2015) M. A. Schwemmer et al.   JOURNAL OF NEUROSCIENCE

Deep learning

(2015) Yann LeCun et al.   NATURE

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

(2015) David Sussillo et al.   NATURE NEUROSCIENCE

Neural circuits as computational dynamical systems

(2014) David Sussillo   CURRENT OPINION IN NEUROBIOLOGY

A temporal basis for predicting the sensory consequences of motor commands in an electric fish

(2014) Ann Kennedy et al.   NATURE NEUROSCIENCE

Structured Synaptic Connectivity between Hippocampal Regions

(2014) Shaul Druckmann et al.   NEURON

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

(2014) Guillaume Hennequin et al.   NEURON

Learning Precisely Timed Spikes

(2014) Raoul-Martin Memmesheimer et al.   NEURON

Active Properties of Neocortical Pyramidal Neuron Dendrites

(2013) Guy Major et al.   Annual Review of Neuroscience

Matching Recall and Storage in Sequence Learning with Spiking Neural Networks

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

Context-dependent computation by recurrent dynamics in prefrontal cortex

(2013) Valerio Mante et al.   NATURE

Balanced cortical microcircuitry for maintaining information in working memory

(2013) Sukbin Lim et al.   NATURE NEUROSCIENCE

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

(2013) Rodrigo Laje et al.   NATURE NEUROSCIENCE

A Modeling Framework for Deriving the Structural and Functional Architecture of a Short-Term Memory Microcircuit

(2013) Dimitry Fisher et al.   NEURON

Predictive Coding of Dynamical Variables in Balanced Spiking Networks

(2013) Martin Boerlin et al.   PLoS Computational Biology

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

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

Supervised Learning in Multilayer Spiking Neural Networks

(2012) Ioana Sporea et al.   NEURAL COMPUTATION

Transferring Learning from External to Internal Weights in Echo-State Networks with Sparse Connectivity

(2012) David Sussillo et al.   PLoS One

The Chronotron: A Neuron That Learns to Fire Temporally Precise Spike Patterns

(2012) Răzvan V. Florian   PLoS One

A Large-Scale Model of the Functioning Brain

(2012) C. Eliasmith et al.   SCIENCE

Spike-based Decision Learning of Nash Equilibria in Two-Player Games

(2012) Johannes Friedrich et al.   PLoS Computational Biology

Synaptic Integration Gradients in Single Cortical Pyramidal Cell Dendrites

(2011) Tiago Branco et al.   NEURON

Activity-Dependent Clustering of Functional Synaptic Inputs on Developing Hippocampal Dendrites

(2011) Thomas Kleindienst et al.   NEURON

Inhibitory Plasticity Balances Excitation and Inhibition in Sensory Pathways and Memory Networks

(2011) T. P. Vogels et al.   SCIENCE

Spike-Based Population Coding and Working Memory

(2011) Martin Boerlin et al.   PLoS Computational Biology

Embedding Multiple Trajectories in Simulated Recurrent Neural Networks in a Self-Organizing Manner

(2009) J. K. Liu et al.   JOURNAL OF NEUROSCIENCE

Supervised Learning in Spiking Neural Networks with ReSuMe: Sequence Learning, Classification, and Spike Shifting

(2009) Filip Ponulak et al.   NEURAL COMPUTATION

Generating Coherent Patterns of Activity from Chaotic Neural Networks

(2009) David Sussillo et al.   NEURON

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

(2009) Eleni Vasilaki et al.   PLoS Computational Biology

Accurate Path Integration in Continuous Attractor Network Models of Grid Cells

(2009) Yoram Burak et al.   PLoS Computational Biology

A Spiking Neural Network Model of an Actor-Critic Learning Agent

(2008) Wiebke Potjans et al.   NEURAL COMPUTATION