Zobrazeno 1 - 10
of 4 359
pro vyhledávání: '"Gutkin, A. A."'
Inhibitory interneurons, ubiquitous in the central nervous system, form networks connected through both chemical synapses and gap junctions. These networks are essential for regulating the activity of principal neurons, especially by inducing tempora
Externí odkaz:
http://arxiv.org/abs/2402.14592
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
Externí odkaz:
http://arxiv.org/abs/2402.10803
Autor:
Houzelstein, Pierre, Thomas, Peter J., Lindner, Benjamin, Gutkin, Boris S., Pérez-Cervera, Alberto
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 debated. In this work, we propose a method to derive a self-contained stoch
Externí odkaz:
http://arxiv.org/abs/2402.02856
We consider the problem of local correlations in the kicked, dual-unitary coupled maps on D-dimensional lattices. We demonstrate that for D>=2, fully dual-unitary systems exhibit ultra-local correlations: the correlations between any pair of operator
Externí odkaz:
http://arxiv.org/abs/2312.03445
In this paper we study the $s$-th symbolic powers of the edge ideals of complete graphs. In particular, we provide a criterion for finding an Eliahou-Kervaire splitting on these ideals, and use the splitting to provide a description for the graded Be
Externí odkaz:
http://arxiv.org/abs/2309.13017
Autor:
Sara Gutkin, Omri Shelef, Zuzana Babjaková, Laura Anna Tomanová, Matej Babjak, Tal Kopp, Qingyang Zhou, Pengchen Ma, Micha Fridman, Urs Spitz, Kendall N. Houk, Doron Shabat
Publikováno v:
JACS Au, Vol 4, Iss 9, Pp 3558-3566 (2024)
Externí odkaz:
https://doaj.org/article/8a383f951d4e41ddb8f45a28a6991b71
Autor:
Ruder, Sebastian, Clark, Jonathan H., Gutkin, Alexander, Kale, Mihir, Ma, Min, Nicosia, Massimo, Rijhwani, Shruti, Riley, Parker, Sarr, Jean-Michel A., Wang, Xinyi, Wieting, John, Gupta, Nitish, Katanova, Anna, Kirov, Christo, Dickinson, Dana L., Roark, Brian, Samanta, Bidisha, Tao, Connie, Adelani, David I., Axelrod, Vera, Caswell, Isaac, Cherry, Colin, Garrette, Dan, Ingle, Reeve, Johnson, Melvin, Panteleev, Dmitry, Talukdar, Partha
Data scarcity is a crucial issue for the development of highly multilingual NLP systems. Yet for many under-represented languages (ULs) -- languages for which NLP re-search is particularly far behind in meeting user needs -- it is feasible to annotat
Externí odkaz:
http://arxiv.org/abs/2305.11938
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Theory predicts that nonlinear summation of synaptic potentials within dendrites allows neurons to perform linearly non-separable computations (LNSCs). Using Boolean analysis approaches, we predicted that both supralinear and sublinear synap
Externí odkaz:
https://doaj.org/article/12769a63623441bbb871d8eac70b2034
Publikováno v:
PNAS 120(29): e2303222120 (2023)
Many systems in physics, chemistry and biology exhibit oscillations with a pronounced random component. Such stochastic oscillations can emerge via different mechanisms, for example linear dynamics of a stable focus with fluctuations, limit-cycle sys
Externí odkaz:
http://arxiv.org/abs/2303.03198
Autor:
Lussange, Johann, Gutkin, Boris
Recent technological developments have changed the fundamental ways stock markets function, bringing regulatory instances to assess the benefits of these developments. In parallel, the ongoing machine learning revolution and its multiple applications
Externí odkaz:
http://arxiv.org/abs/2302.04184