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researcher

Gabriel Mahuas

2 papers hereh-index 215 citations10 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cond-mat.dis-nn1
  • q-bio.NC1

identity via Semantic Scholar / OpenAlex

most citedA small-correlation expansion to quantify information in noisy sensory systems

1 citations · 1 across the 1 of their papers we have counts for

collaborators

2 papers

q-bio.NC2022★ 1 cited

A small-correlation expansion to quantify information in noisy sensory systems

Gabriel Mahuas, Olivier Marre, Thierry Mora +1

Neural networks encode information through their collective spiking activity in response to external stimuli. This population response is noisy and strongly correlated, with comple…

cond-mat.dis-nn2020

A new inference approach for training shallow and deep generalized linear models of noisy interacting neurons

Gabriel Mahuas, Giulio Isacchini, Olivier Marre +2

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 appli…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.