Emergent mechanisms of evidence integration in recurrent neural networks

Prefrontal cortex as a meta-reinforcement learning system

(2018) Jane X. Wang et al.   NATURE NEUROSCIENCE

Equilibrium Propagation: Bridging the Gap between Energy-Based Models and Backpropagation

(2017) Benjamin Scellier et al.   Frontiers in Computational Neuroscience

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

(2017) Thomas Miconi   eLife

Reward-based training of recurrent neural networks for cognitive and value-based tasks

(2017) H Francis Song et al.   eLife

Mastering the game of Go with deep neural networks and tree search

(2016) David Silver et al.   NATURE

Tuning the speed-accuracy trade-off to maximize reward rate in multisensory decision-making

(2015) Jan Drugowitsch et al.   eLife

A neural mechanism of speed-accuracy tradeoff in macaque area LIP

(2014) Timothy Hanks et al.   eLife

Speed and Accuracy of Visual Motion Discrimination by Rats

(2013) Pamela Reinagel   PLoS One

The Cost of Accumulating Evidence in Perceptual Decision Making

(2012) J. Drugowitsch et al.   JOURNAL OF NEUROSCIENCE

Decision-related activity in sensory neurons reflects more than a neuron’s causal effect

(2009) Hendrikje Nienborg et al.   NATURE