Warning: Undefined array key "mm" in /www/wwwroot/www.ai-bt.com/si.php on line 10 Deprecated: trim(): Passing null to parameter #1 ($string) of type string is deprecated in /www/wwwroot/www.ai-bt.com/si.php on line 10 Existence and stability of persistent states in large neuronal networks.

Literature DB >> 11328124

Existence and stability of persistent states in large neuronal networks.

Abstract

We study the existence and stability of persistent states in large networks of quadratic integrate-and-fire neurons. The networks consist of two populations, one excitatory and one inhibitory. The stability of the asynchronous state is studied analytically. Our study demonstrates the role of recurrent inhibition and inhibitory-inhibitory interactions in stable persistent activity in large neuronal networks.

Mesh：

Year: 2001 PMID： 11328124 DOI： 10.1103/PhysRevLett.86.4175

Source DB: PubMed Journal: Phys Rev Lett ISSN： 0031-9007 Impact factor: 9.161

Keyword Cloud
Cited

18 in total

1. Activity patterns in a model for the subthalamopallidal network of the basal ganglia.

Authors: D Terman; J E Rubin; A C Yew; C J Wilson
Journal: J Neurosci Date: 2002-04-01 Impact factor: 6.167

2. How spike generation mechanisms determine the neuronal response to fluctuating inputs.

Authors: Nicolas Fourcaud-Trocmé; David Hansel; Carl van Vreeswijk; Nicolas Brunel
Journal: J Neurosci Date: 2003-12-17 Impact factor: 6.167

Review 3. Neurophysiological and computational principles of cortical rhythms in cognition.

Authors: Xiao-Jing Wang
Journal: Physiol Rev Date: 2010-07 Impact factor: 37.312

4. Examining the limits of cellular adaptation bursting mechanisms in biologically-based excitatory networks of the hippocampus.

Authors: K A Ferguson; F Njap; W Nicola; F K Skinner; S A Campbell
Journal: J Comput Neurosci Date: 2015-10-13 Impact factor: 1.621

Existence and stability of persistent states in large neuronal networks.

1. Activity patterns in a model for the subthalamopallidal network of the basal ganglia.

2. How spike generation mechanisms determine the neuronal response to fluctuating inputs.

Review 3. Neurophysiological and computational principles of cortical rhythms in cognition.

4. Examining the limits of cellular adaptation bursting mechanisms in biologically-based excitatory networks of the hippocampus.

5. Enhanced neuronal response induced by fast inhibition.

6. Voltage-stepping schemes for the simulation of spiking neural networks.

7. How well do mean field theories of spiking quadratic-integrate-and-fire networks work in realistic parameter regimes?

8. Stability of discrete memory states to stochastic fluctuations in neuronal systems.

9. Dopamine modulation in the basal ganglia locks the gate to working memory.

10. Recurrent Network Models of Sequence Generation and Memory.