Cortical computations via transient attractors.
The ability of sensory networks to transiently store information on the scale of seconds can confer many advantages in processing time-varying stimuli. How a network could store information on such intermediate time scales, between typical neurophysiological time scales and those of long-term memory...
Main Authors: | Oliver L C Rourke, Daniel A Butts |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2017-01-01
|
Series: | PLoS ONE |
Online Access: | http://europepmc.org/articles/PMC5720801?pdf=render |
Similar Items
-
Attractor cortical neurodynamics, schizophrenia, and depression
by: Edmund T. Rolls
Published: (2021-04-01) -
A cortical attractor network with dynamic synapses
by: Lansner Anders, et al.
Published: (2011-07-01) -
Transient and Attractor Dynamics in Models for Odor Discrimination
by: Ahn, Sungwoo
Published: (2010) -
Remarks and examples on transient processes and attractors in biological evolution
by: Philippe Lherminier, et al.
Published: (2015-11-01) -
Novel Principles and Methods for Computing with Attractors
by: Horia-Nicolai Teodorescu, et al.
Published: (2001-08-01)