205 citations · 746 across the 41 of their papers we have counts for
42 papers
Generalized dynamical phase reduction for stochastic oscillators
Pierre Houzelstein, Peter J. Thomas, Benjamin Lindner +2
Phase reduction is an important tool for studying coupled and driven oscillators. The question of how to generalize phase reduction to stochastic oscillators remains actively debat…
A Universal Description of Stochastic Oscillators
Alberto Pérez-Cervera, Boris Gutkin, Peter J. Thomas +1
Many systems in physics, chemistry and biology exhibit oscillations with a pronounced random component. Such stochastic oscillations can emerge via different mechanisms, for exampl…
Order book regulatory impact on stock market quality: a multi-agent reinforcement learning perspective
Johann Lussange, Boris Gutkin
Recent technological developments have changed the fundamental ways stock markets function, bringing regulatory instances to assess the benefits of these developments. In parallel,…
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…
Continuous Homeostatic Reinforcement Learning for Self-Regulated Autonomous Agents
Hugo Laurençon, Charbel-Raphaël Ségerie, Johann Lussange +1
Homeostasis is a prevalent process by which living beings maintain their internal milieu around optimal levels. Multiple lines of evidence suggest that living beings learn to act t…
Activity stabilization in a population model of working memory by sinusoidal and noisy inputs
Nikita Novikov, Denis Zakharov, Victoria Moiseeva +1
According to mechanistic theories of working memory (WM), information is retained as persistent spiking activity of cortical neural networks. Yet, how this activity is related to c…