Intrinsically-generated fluctuating activity in excitatory-inhibitory networks.
Recurrent networks of non-linear units display a variety of dynamical regimes depending on the structure of their synaptic connectivity. A particularly remarkable phenomenon is the appearance of strongly fluctuating, chaotic activity in networks of deterministic, but randomly connected rate units. H...
Main Authors: | Francesca Mastrogiuseppe, Srdjan Ostojic |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2017-04-01
|
Series: | PLoS Computational Biology |
Online Access: | http://europepmc.org/articles/PMC5421821?pdf=render |
Similar Items
-
Irregular behavior in an excitatory-inhibitory network
by: Park, Choongseok
Published: (2007) -
Training dynamically balanced excitatory-inhibitory networks.
by: Alessandro Ingrosso, et al.
Published: (2019-01-01) -
Inferring Excitatory and Inhibitory Connections in Neuronal Networks
by: Silvia Ghirga, et al.
Published: (2021-09-01) -
Population activity structure of excitatory and inhibitory neurons.
by: Sean R Bittner, et al.
Published: (2017-01-01) -
Interpreting neural computations by examining intrinsic and embedding dimensionality of neural activity
by: Jazayeri, Mehrdad, et al.
Published: (2022)