no code implementations • 22 Feb 2024 • Hélène Todd, Alex Cayco-Gajic, Boris Gutkin
Conversely, the strength of inhibitory synapses affects the population firing rate, suggesting that electrical and chemical coupling strengths act as complementary mechanisms by which networks can tune synchronous oscillatory behavior.
1 code implementation • 16 Feb 2024 • Johann Lussange, Stefano Vrizzi, Stefano Palminteri, Boris Gutkin
Building on a previous foundation work (Lussange et al. 2020), this study introduces a multi-agent reinforcement learning (MARL) model simulating crypto markets, which is calibrated to the Binance's daily closing prices of $153$ cryptocurrencies that were continuously traded between 2018 and 2022.
Multi-agent Reinforcement Learning reinforcement-learning +1
no code implementations • 17 Jan 2024 • Hugo Laurencon, Yesoda Bhargava, Riddhi Zantye, Charbel-Raphaël Ségerie, Johann Lussange, Veeky Baths, Boris Gutkin
Homeostasis is a biological process by which living beings maintain their internal balance.
no code implementations • 8 Feb 2023 • 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.
no code implementations • 21 Jun 2022 • 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.
no code implementations • 19 Apr 2021 • Nikita Novikov, Denis Zakharov, Victoria Moiseeva, Boris Gutkin
If the inter-cluster connections are fast, this effect is more pronounced when the gamma-band input is delivered to the clusters in the same phase rather than in the anti-phase.
no code implementations • 18 Feb 2021 • Gregory Dumont, Alberto Pérez-Cervera, Boris Gutkin
In the thermodynamic limit, the network dynamics are captured by a continuity equation known as the refractory density equation.
1 code implementation • 6 Dec 2019 • Boris Gutkin, Li Han, Rana Jafari, Adrien K. Saremi, Predrag Cvitanović
The dynamics of an extended, spatiotemporally chaotic system might appear extremely complex.
Chaotic Dynamics Statistical Mechanics High Energy Physics - Lattice Mathematical Physics Mathematical Physics 28D05, 60J10, 70K43, 70S05, 76F20, 82C20
3 code implementations • 9 Oct 2018 • Ivan Lazarevich, Ilya Prokin, Boris Gutkin, Victor Kazantsev
Modern well-performing approaches to neural decoding are based on machine learning models such as decision tree ensembles and deep neural networks.