Democratic Population Decisions Result in Robust Policy-Gradient Learning: A Parametric Study with GPU Simulations

High performance cellular level agent-based simulation with FLAME for the GPU

(2010) P. Richmond et al.   BRIEFINGS IN BIOINFORMATICS

Learning Spike-Based Population Codes by Reward and Population Feedback

(2010) Johannes Friedrich et al.   NEURAL COMPUTATION

Code Generation: A Strategy for Neural Network Simulators

(2010) Dan F. M. Goodman   NEUROINFORMATICS

Compensating Inhomogeneities of Neuromorphic VLSI Devices Via Short-Term Synaptic Plasticity

(2010) Johannes Bill et al.   Frontiers in Computational Neuroscience

Reinforcement Learning on Slow Features of High-Dimensional Input Streams

(2010) Robert Legenstein et al.   PLoS Computational Biology

Pavlovian-Instrumental Interaction in ‘Observing Behavior’

(2010) Ulrik R. Beierholm et al.   PLoS Computational Biology

Trends in programming languages for neuroscience simulations

(2010) Andrew P. Davison   Frontiers in Neuroscience

The Brian simulator

(2010) Dan F M. Goodman   Frontiers in Neuroscience

Learning flexible sensori-motor mappings in a complex network

(2009) Eleni Vasilaki et al.   BIOLOGICAL CYBERNETICS

How Humans Integrate the Prospects of Pain and Reward during Choice

(2009) D. Talmi et al.   JOURNAL OF NEUROSCIENCE

A configurable simulation environment for the efficient simulation of large-scale spiking neural networks on graphics processors

(2009) Jayram Moorkanikara Nageswaran et al.   NEURAL NETWORKS

Goal-directed control and its antipodes

(2009) Peter Dayan   NEURAL NETWORKS

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

(2009) Eleni Vasilaki et al.   PLoS Computational Biology

PyNEST: A convenient interface to the NEST simulator

(2009) Jochen M Eppler   Frontiers in Neuroinformatics

PyNN: a common interface for neuronal network simulators

(2009) Andrew P Davison   Frontiers in Neuroinformatics

Establishing a Novel Modeling Tool: A Python-based Interface for a Neuromorphic Hardware System

(2009) Daniel Bruederle   Frontiers in Neuroinformatics

Decision theory, reinforcement learning, and the brain

(2008) P. Dayan et al.   COGNITIVE AFFECTIVE & BEHAVIORAL NEUROSCIENCE

Harvesting graphics power for MD simulations

(2008) J.A. van Meel et al.   MOLECULAR SIMULATION

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

(2008) Wiebke Potjans et al.   NEURAL COMPUTATION

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

(2008) Robert Legenstein et al.   PLoS Computational Biology

Brian: a simulator for spiking neural networks in Python

(2008) Dan Goodman   Frontiers in Neuroinformatics