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20122026
most citedUnraveling the Hidden Environmental Impacts of AI Solutions for Environment

180 citations

Showing q-bio.NCShow all

19 papers · 1 filter

q-bio.NC2025

The insertion of Neomycin cassette impairs maternal and social behaviors in Arc/Arg3.1 knock-out mice

Ana Dudas, Emilia Caire, Abdurahman Hassan a Kuku +14

The Neomycin resistance cassette (Neo+) is commonly inserted in the genome of mice to generate knock-out (KO) models. The effect of gene deletion on social behaviors in mice is con…

q-bio.NC2024★ 10 cited

Precise spiking motifs in neurobiological and neuromorphic data

Antoine Grimaldi, Amélie Gruel, Camille Besnainou +3

Why do neurons communicate through spikes? By definition, spikes are all-or-none neural events which occur at continuous times. In other words, spikes are on one side binary, exist…

q-bio.NC2023★ 2 cited

Accurate Detection of Spiking Motifs by Learning Heterogeneous Delays of a Spiking Neural Network

Laurent U Perrinet

Recently, interest has grown in exploring the hypothesis that neural activity conveys information through precise spiking motifs. To investigate this phenomenon, various algorithms…

q-bio.NC2023

Beyond sparse coding in V1

Ilias Rentzeperis, Luca Calatroni, Laurent Perrinet +1

Growing evidence indicates that only a sparse subset from a pool of sensory neurons is active for the encoding of visual stimuli at any instant in time. Traditionally, to replicate…

q-bio.NC2022★ 14 cited

Violent suicide attempt history in elderly patients with bipolar disorder: The role of sex, abdominal obesity, and verbal memory: Results from the FACE-BD cohort (FondaMental Advanced center of Expertise for Bipolar Disorders)

Aiste Lengvenyte, Bruno Aouizerate, Valerie Aubin +15

Background: Bipolar disorder (BD) is a chronic, lifelong condition, associated with increased risk of obesity, cognitive impairment, and suicidal behaviors. Abdominal obesity and a…

q-bio.NC2022★ 4 cited

Ultrafast Image Categorization in Biology and Neural Models

Jean-Nicolas Jérémie, Laurent U Perrinet

Humans are able to categorize images very efficiently, in particular to detect the presence of an animal very quickly. Recently, deep learning algorithms based on convolutional neu…