Nicolas P. Rougier

The quasi systematic nature of splitter cells

This study shows splitter cells are not necessary for task performance, as their removal allows network reorganization to maintain behavior.

A reduced multicompartment network model of CA1 theta-gamma oscillations under extracellular stimulation

This paper develops a reduced multicompartment model of hippocampal CA1 to study how deep brain stimulation affects theta-gamma oscillations and memory-related neural dynamics.

Dual pathway architecture in songbirds enables robust sensorimotor learning

This paper presents a computational model of songbird vocal learning that uses a dual pathway architecture to achieve robust sensorimotor learning and outperforms standard reinforcement learning approaches.

A dynamical computational model of theta generation in hippocampal circuits to study theta-gamma oscillations during neurostimulation

This paper develops a computational model of hippocampal circuits to study theta-gamma oscillations during neurostimulation, showing how stimulation can induce or restore oscillatory behavior depending on phase reset.

Dual pathway architecture underlying vocal learning in songbirds

The paper proposes a dual pathway model for vocal learning in songbirds, showing it can reach global optima in complex landscapes through exploration and consolidation.

Identification of distinct pathological signatures induced by patient-derived α-synuclein structures in non-human primates

The paper uses machine learning to identify neurodegeneration signatures in non-human primates caused by patient-derived α-synuclein structures, showing that small aggregates are as toxic as larger fibrils.

A Robust Model of Gated Working Memory

The paper introduces a reservoir model of gated working memory using a random recurrent neural network, showing it can robustly store arbitrary information over time with minimal hypotheses.

Modeling the Role of the Striatum in Non-Stationary Bandit Tasks

The paper presents two models to predict agent behavior in non-stationary bandit tasks: a theoretical Bayesian model and a neural model of the basal ganglia, showing their relationship and predictive performance.

Dual Competition between the Basal Ganglia and the Cortex: from Action-Outcome to Stimulus-Response

The paper proposes a dual competition model between the basal ganglia and cortex to explain action-outcome and stimulus-response processes in decision making, validated in primates.

One critic, two actors:Evidence for covert learning in the basal ganglia

The paper demonstrates covert learning in the basal ganglia by showing monkeys improve performance after GPi inactivation is reversed, indicating value evaluation occurs without conscious awareness.