32 citations · 32 across the 3 of their papers we have counts for
3 papers
DRIADA: an open-source Python toolkit for linking single-neuron selectivity and population activity to behavior
Nikita Pospelov, Viktor Plusnin, Olga Rogozhnikova +7
Understanding how individual neurons contribute to population activity during behavior is central to understanding brain functions across biological scales. We developed DRIADA, an…
INTENSE: Detecting and disentangling neuronal selectivity in calcium imaging data
Nikita Pospelov, Viktor Plusnin, Olga Rogozhnikova +6
Neurons encode information about the environment through their activity. As animals explore the environment, neurons rapidly acquire selectivity for distinct features of the extern…
Revealing quantum chaos with machine learning
Y. A. Kharkov, V. E. Sotskov, A. A. Karazeev +2
Understanding properties of quantum matter is an outstanding challenge in science. In this paper, we demonstrate how machine-learning methods can be successfully applied for the cl…