A data-driven in silico framework to predict cholinergic control of neocortical network states. (September 2019)

Record Type:
Journal Article
Title:
A data-driven in silico framework to predict cholinergic control of neocortical network states. (September 2019)
Main Title:
A data-driven in silico framework to predict cholinergic control of neocortical network states
Authors:
Ramaswamy, Srikanth
Abstract:
Is Part Of:
IBRO reports. Volume 6(2019)Supplement
Journal:
IBRO reports
Issue:
Volume 6(2019)Supplement
Issue Display:
Volume 6, Issue 2019 (2019)
Year:
2019
Volume:
6
Issue:
2019
Issue Sort Value:
2019-0006-2019-0000
Page Start:
S47
Page End:
Publication Date:
2019-09
Subjects:
Nervous system -- Periodicals
Brain -- Periodicals
Brain -- Research -- Periodicals
Nervous system
Brain -- Research
Brain
Neurology
Nervous System Physiological Phenomena
Electronic journals
Periodicals
Fulltext
Internet Resources
Periodicals
Periodical
Journal URLs:
https://www.ncbi.nlm.nih.gov/pmc/journals/3512/ ↗
http://www.journals.elsevier.com/ibro-reports ↗
http://www.sciencedirect.com/ ↗
DOI:
10.1016/j.ibror.2019.07.143 ↗
Languages:
English
ISSNs:
2451-8301
Deposit Type:
Legaldeposit
View Content:
Available online (eLD content is only available in our Reading Rooms) ↗
Physical Locations:
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store
Ingest File:
16656.xml