Network dynamics underlying OFF responses in the auditory cortex

eLife

Thomas Deneux¹  Brice Bathellier²  Srdjan Ostojic³  Giulio Bondanelli⁴ 

[1] Départment de Neurosciences Intégratives et Computationelles (ICN), Institut des Neurosciences Paris-Saclay (NeuroPSI), UMR 9197 CNRS, Université Paris Sud, Gif-sur-Yvette, France;Départment de Neurosciences Intégratives et Computationelles (ICN), Institut des Neurosciences Paris-Saclay (NeuroPSI), UMR 9197 CNRS, Université Paris Sud, Gif-sur-Yvette, France;Institut Pasteur, INSERM, Institut de l’Audition, Paris, France;Laboratoire de Neurosciences Cognitives et Computationelles, Département d’études cognitives, ENS, PSL University, INSERM, Paris, France;Laboratoire de Neurosciences Cognitives et Computationelles, Département d’études cognitives, ENS, PSL University, INSERM, Paris, France;Neural Computation Laboratory, Center for Human Technologies, Istituto Italiano di Tecnologia (IIT), Genoa, Italy;

关键词: neural networks;    computational neuroscience;    auditory cortex;    calcium imaging;    Mouse;   

DOI  :  10.7554/eLife.53151

来源: eLife Sciences Publications, Ltd

【 摘 要 】

Across sensory systems, complex spatio-temporal patterns of neural activity arise following the onset (ON) and offset (OFF) of stimuli. While ON responses have been widely studied, the mechanisms generating OFF responses in cortical areas have so far not been fully elucidated. We examine here the hypothesis that OFF responses are single-cell signatures of recurrent interactions at the network level. To test this hypothesis, we performed population analyses of two-photon calcium recordings in the auditory cortex of awake mice listening to auditory stimuli, and compared them to linear single-cell and network models. While the single-cell model explained some prominent features of the data, it could not capture the structure across stimuli and trials. In contrast, the network model accounted for the low-dimensional organization of population responses and their global structure across stimuli, where distinct stimuli activated mostly orthogonal dimensions in the neural state-space.

【 授权许可】

CC BY