MRC CoRE in RND Output
Preprints for Rafal Bogacz
View Rafal Bogacz's Profile2026
2025
Dithering suppresses half-harmonic neural synchronisation to photic stimulation in humans
2024
How to design optimal brain stimulation to modulate phase-amplitude coupling?
Bogacz R, Meulemans A
Learning probability distributions of sensory inputs with Monte Carlo Predictive Coding
Mirkhani N, McNamara CG, Sharott A, Duchet B, Bogacz R
Response of neuronal populations to phase-locked stimulation: model-based predictions and validation
2023
Millidge B, Tang M, Osanlouy M, Harper NS, Bogacz R
Predictive Coding Networks for Temporal Prediction
Dopamine encoding of novelty facilitates efficient uncertainty-driven exploration
Fritsche M, Majumdar A, Strickland LAM, Liebana Garcia S, Bogacz R, Lak A
Temporal regularities shape perceptual decisions and striatal dopamine signals
2022
Möller M, Manohar S, Bogacz R
Uncertainty-guided learning with scaled prediction errors in the basal ganglia
How to entrain a selected neuronal rhythm but not others: open-loop dithered brain stimulation for selective entrainment
Tang M, Salvatori T, Millidge B, Song Y, Lukasiewicz T, Bogacz R
Recurrent predictive coding models for associative memory employing covariance learning
Sub-harmonic Entrainment of Cortical Gamma Oscillations to Deep Brain Stimulation in Parkinson’s Disease: Model Based Predictions and Validation in Three Human Subjects
Song Y, Millidge B, Salvatori T, Lukasiewicz T, Xu Z, Bogacz R
Inferring Neural Activity Before Plasticity: A Foundation for Learning Beyond Backpropagation
2021
van Swieten MMH, Bogacz R, Manohar S
Hunger improves reinforcement-driven but not planned action
van Swieten MMH, Bogacz R, Manohar S
Gambling on an empty stomach: Hunger modulates preferences for learned but not described risks
2020
Average beta burst duration profiles provide a signature of dynamical changes between the ON and OFF medication states in Parkinson’s disease
Lefebvre G, Summerfield C, Bogacz R
A normative account of confirmation bias during reinforcement learning
Patai ZE, Foltynie T, Limousin P, Akram H, Zrinzo L, Bogacz R, Litvak V