Breaking the Excitation-Inhibition Balance Makes the Cortical Network's Space-Time Dynamics Distinguish Simple Visual Scenes

Autor: Lars H. Bonde, Michael A. Harvey, Per E. Roland, Lars E. Forsberg
Rok vydání: 2017
Předmět:
0301 basic medicine
Visual perception
genetic structures
Dynamical systems theory
Computer science
Cognitive Neuroscience
media_common.quotation_subject
Neuroscience (miscellaneous)
Voltage-sensitive dye
mechanics of vision
lcsh:RC321-571
03 medical and health sciences
Cellular and Molecular Neuroscience
0302 clinical medicine
Developmental Neuroscience
Dynamical systems
balanced network
Contrast (vision)
Computer vision
lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry
Inhibition
Original Research
Balance (ability)
media_common
Voltage sensitive dye
business.industry
voltage sensitive dye
Dynamics (mechanics)
Mechanics of vision
Cerebral cortex
dynamical systems
inhibition
Balanced network
030104 developmental biology
Flow (mathematics)
cerebral cortex
Artificial intelligence
Biological system
business
030217 neurology & neurosurgery
Excitation
Neuroscience
Zdroj: Frontiers in Systems Neuroscience
Roland, P E, Bonde, L H, Forsberg, L E & Harvey, M A 2017, ' Breaking the excitation-inhibition balance makes the cortical network’s space-time dynamics distinguish simple visual scenes ', Frontiers in Systems Neuroscience, vol. 11, 14 . https://doi.org/10.3389/fnsys.2017.00014
Frontiers in Systems Neuroscience, Vol 11 (2017)
ISSN: 1662-5137
DOI: 10.3389/fnsys.2017.00014
Popis: Brain dynamics are often taken to be temporal dynamics of spiking and membrane potentials in a balanced network. Almost all evidence for a balanced network comes from recordings of cell bodies of few single neurons, neglecting more than 99% of the cortical network. We examined the space-time dynamics of excitation and inhibition simultaneously in dendrites and axons over four visual areas of ferrets exposed to visual scenes with stationary and moving objects. The visual stimuli broke the tight balance between excitation and inhibition such that the network exhibited longer episodes of net excitation subsequently balanced by net inhibition, in contrast to a balanced network. Locally in all four areas the amount of net inhibition matched the amount of net excitation with a delay of 125 ms. The space-time dynamics of excitation-inhibition evolved to reduce the complexity of neuron interactions over the whole network to a flow on a low-(3)-dimensional manifold within 80 ms. In contrast to the pure temporal dynamics, the low dimensional flow evolved to distinguish the simple visual scenes.
Databáze: OpenAIRE