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Publications

Optimal closed-loop deep brain stimulation using multiple independently controlled contacts

WEERASINGHE G. et al, (2021), PLoS Computational Biology

Optimizing deep brain stimulation based on isostable amplitude in essential tremor patient models

Duchet B. et al, (2021), Journal of Neural Engineering, 18, 046023 - 046023

An Association Between Prediction Errors and Risk-Seeking: Theory and Behavioral Evidence

Moeller M. et al, (2021), PLoS Computational Biology

Average beta burst duration profiles provide a signature of dynamical changes between the ON and OFF medication states in Parkinson's disease.

Duchet B. et al, (2021), PLoS Comput Biol, 17

Case Report: Embedding "Digital Chronotherapy" Into Medical Devices-A Canine Validation for Controlling Status Epilepticus Through Multi-Scale Rhythmic Brain Stimulation.

Zamora M. et al, (2021), Front Neurosci, 15

Gambling on an empty stomach: Hunger modulates preferences for learned but not described risks

van Swieten MMH. et al, (2021)

Hunger improves reinforcement-driven but not planned action

van Swieten MMH. et al, (2021)

Phase-dependence of response curves to deep brain stimulation and their relationship: from essential tremor patient data to a Wilson–Cowan model

Duchet B. et al, (2020), The Journal of Mathematical Neuroscience, 10

Can the Brain Do Backpropagation? — Exact Implementation of Backpropagation in Predictive Coding Networks

Song Y. et al, (2020)

Dopamine role in learning and action inference

Bogacz R., (2020), eLife, 9

Modeling the effects of motivation on choice and learning in the basal ganglia

van Swieten MMH. and Bogacz R., (2020), PLOS Computational Biology, 16, e1007465 - e1007465

A Behavioral Association Between Prediction Errors and Risk-Seeking: Theory and Evidence

Moeller M. et al, (2020)

A deep learning framework for neuroscience

SAXE A. and BOGACZ R., (2019), Nature Neuroscience

Predicting the effects of deep brain stimulation using a reduced coupled oscillator model

Weerasinghe G. et al, (2019), PLOS Computational Biology, 15, e1006575 - e1006575

Learning the payoffs and costs of actions

Möller M. and Bogacz R., (2019), PLOS Computational Biology, 15, e1006285 - e1006285

Phase dependence of response curves to stimulation and their relationship: from a Wilson-Cowan model to essential tremor patient data

Duchet B. et al, (2019)

Theories of error back-propagation in the brain

BOGACZ R. and Whittington JCR., (2018), Trends in Cognitive Sciences

Predicting the effects of deep brain stimulation using a reduced coupled oscillator model

Weerasinghe G. et al, (2018)

Predicting beta bursts from local field potentials to improve closed-loop DBS paradigms in Parkinson’s patients

Moraud EM. et al, (2018), 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

Selective Effects of the Loss of NMDA or mGluR5 Receptors in the Reward System on Adaptive Decision-Making

Cieślak PE. et al, (2018), eneuro, 5, ENEURO.0331 - 18.2018

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