PhD Thesis: Computational Models of Learning and Representations in the Hippocampal Formation
My PhD thesis.
Reinforcement Learning
RatInABox, a toolkit for modelling locomotion and neuronal activity in continuous environments
This paper documents and motivates the RatInABox package, used for modellign locomotion and neural activity.
Theta sequences as eligibility traces: A biological solution to credit assignment
This short paper demonstrates a symmetry between theta sequences and eligibility traces, potentially explaining how credit assignment is implemented in the brain.
Rapid learning of predictive maps with STDP and theta phase precession
We study how successor representations can be learned in a biologically plausible way by hippocampal neurons using STDP and theta phase procession.