output
20172024
most citedSustainable computational science: the ReScience initiative

128 citations

6 papers

cond-mat.soft2024★ 8 cited

Motility driven glassy dynamics in confluent epithelial monolayers

Souvik Sadhukhan, Manoj Kumar Nandi, Satyam Pandey +4

As wounds heal, embryos develop, cancer spreads, or asthma progresses, the cellular monolayer undergoes glass transition between solid-like jammed and fluid-like flowing states. Du…

q-bio.NC2022★ 1 cited

A new generation of reduction methods for networks of neurons with complex dynamic phenotypes

Inês C. Guerreiro, Matteo di Volo, Boris Gutkin

Collective dynamics of spiking networks of neurons has been of central interest to both computation neuroscience and network science. Over the past years a new generation of neural…

q-bio.NC2022★ 1 cited

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

Katharina Wegner, Charles R. E. Wilson, Emmanuel Procyk +4

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 eff…

cs.AI2017★ 13 cited

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

Guillaume Viejo, Benoît Girard, Emmanuel Procyk +1

Accumulating evidence suggest that human behavior in trial-and-error learning tasks based on decisions between discrete actions may involve a combination of reinforcement learning…

cs.DL2017★ 128 cited

Sustainable computational science: the ReScience initiative

Nicolas P. Rougier, Konrad Hinsen, Frédéric Alexandre +42

Computer science offers a large set of tools for prototyping, writing, running, testing, validating, sharing and reproducing results, however computational science lags behind. In…

cs.AI2017★ 78 cited

DAC-h3: A Proactive Robot Cognitive Architecture to Acquire and Express Knowledge About the World and the Self

Clément Moulin-Frier, Tobias Fischer, Maxime Petit +16

This paper introduces a cognitive architecture for a humanoid robot to engage in a proactive, mixed-initiative exploration and manipulation of its environment, where the initiative…