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pro vyhledávání: '"Mahuas, Gabriel"'
Neural correlations play a critical role in sensory information coding. They are of two kinds: signal correlations, when neurons have overlapping sensitivities, and noise correlations from network effects and shared noise. It is commonly thought that
Externí odkaz:
http://arxiv.org/abs/2406.18439
Neural networks encode information through their collective spiking activity in response to external stimuli. This population response is noisy and strongly correlated, with complex interplay between correlations induced by the stimulus, and correlat
Externí odkaz:
http://arxiv.org/abs/2211.13712
Generalized linear models are one of the most efficient paradigms for predicting the correlated stochastic activity of neuronal networks in response to external stimuli, with applications in many brain areas. However, when dealing with complex stimul
Externí odkaz:
http://arxiv.org/abs/2006.06497
Akademický článek
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Bernstein Conference 2022 abstract. http://bernstein-conference.de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a26df294cccbd385e0f398a946639ad4