Frontal effective connectivity increases with task demands and time on task: a Dynamic Causal Model of electrocorticogram in macaque monkeys

no code implementations • 21 Feb 2022 • Katharina Wegner, Charles R. E. Wilson, Emmanuel Procyk, Karl J. Friston, Frederik Van de Steen, Dimitris A. Pinotsis, Daniele Marinazzo

We apply Dynamic Causal Models to electrocorticogram recordings from two macaque monkeys performing a problem-solving task that engages working memory, and induces time-on-task effects.

Adaptive coordination of working-memory and reinforcement learning in non-human primates performing a trial-and-error problem solving task

1 code implementation • 2 Nov 2017 • Guillaume Viejo, Benoît Girard, Emmanuel Procyk, Mehdi Khamassi

We found that the behavior of the five monkeys was better explained in terms of a combination of RL and WM despite inter-individual differences.

Reinforcement Learning (RL)