Neocortical inhibitory interneuron subtypes are differentially attuned to synchrony- and rate-coded information
- Authors
- Prince, Luke Y.; Tran, Matthew M.; Grey, Dorian; Saad, Lydia; Chasiotis, Helen; Kwag, Jeehyun; Kohl, Michael M.; Richards, Blake A.
- Issue Date
- 5-8월-2021
- Publisher
- NATURE PORTFOLIO
- Citation
- COMMUNICATIONS BIOLOGY, v.4, no.1
- Indexed
- SCIE
SCOPUS
- Journal Title
- COMMUNICATIONS BIOLOGY
- Volume
- 4
- Number
- 1
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/136871
- DOI
- 10.1038/s42003-021-02437-y
- ISSN
- 2399-3642
- Abstract
- Neurons can carry information with both the synchrony and rate of their spikes. However, it is unknown whether distinct subtypes of neurons are more sensitive to information carried by synchrony versus rate, or vice versa. Here, we address this question using patterned optical stimulation in slices of somatosensory cortex from mouse lines labelling fast-spiking (FS) and regular-spiking (RS) interneurons. We used optical stimulation in layer 2/3 to encode a 1-bit signal using either the synchrony or rate of activity. We then examined the mutual information between this signal and the interneuron responses. We found that for a synchrony encoding, FS interneurons carried more information in the first five milliseconds, while both interneuron subtypes carried more information than excitatory neurons in later responses. For a rate encoding, we found that RS interneurons carried more information after several milliseconds. These data demonstrate that distinct interneuron subtypes in the neocortex have distinct sensitivities to synchrony versus rate codes. In order to address whether distinct subtypes of neurons are more sensitive to information carried by synchrony versus rate, Prince et al. used optical stimulation in slices of somatosensory cortex from mouse lines labelling fast-spiking (FS) and regular-spiking (RS) interneurons. They demonstrated that FS and RS interneurons had differential sensitivity to changes in synchrony and rate, which advances our understanding of neural processing in the neocortex.
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Collections - Graduate School > Department of Brain and Cognitive Engineering > 1. Journal Articles
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