Neuronal network models for sensory discrimination

Mohammad Samavat, Dori Luli, Sharon Crook

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Previous modeling studies have demonstrated that lateral inhibition contributes to enhanced precision in sensory networks. That is, inhibitory connections reduce the spread of activity and repress neighboring cells, increasing the reliability of a sensory response. However, much less is understood about how connections that spread activity might contribute to the processing of sensory stimuli in the context of a sensory discrimination task. In this work, we examine the role of excitatory connections and gap junctions in network dynamics and some contributions to sensory discrimination.

Original languageEnglish (US)
Title of host publicationConference Record of the 50th Asilomar Conference on Signals, Systems and Computers, ACSSC 2016
PublisherIEEE Computer Society
Pages1066-1073
Number of pages8
ISBN (Electronic)9781538639542
DOIs
StatePublished - Mar 1 2017
Event50th Asilomar Conference on Signals, Systems and Computers, ACSSC 2016 - Pacific Grove, United States
Duration: Nov 6 2016Nov 9 2016

Other

Other50th Asilomar Conference on Signals, Systems and Computers, ACSSC 2016
CountryUnited States
CityPacific Grove
Period11/6/1611/9/16

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

Cite this

Samavat, M., Luli, D., & Crook, S. (2017). Neuronal network models for sensory discrimination. In Conference Record of the 50th Asilomar Conference on Signals, Systems and Computers, ACSSC 2016 (pp. 1066-1073). [7869533] IEEE Computer Society. https://doi.org/10.1109/ACSSC.2016.7869533