
Phase diagrams of sparsely connected networks of excitatory and inhibitory spiking neurons
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, Conference
Brunel, N
Published in: Neurocomputing
June 1, 2000
The dynamics of networks of sparsely connected excitatory and inhibitory integrate-and-fire neurons is studied analytically. The 'phase diagrams' of such systems include: synchronous states in which neurons fire regularly; Asynchronous states with stationary global activity and very irregular individual cell activity; synchronous states in which the global activity oscillates but individual cells fire irregularly, typically at frequencies lower than the global oscillation frequency. The network can switch between these states, provided the external frequency, or the balance between excitation and inhibition, is varied. (C) 2000 Published by Elsevier Science B.V. All rights reserved.
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Neurocomputing
DOI
ISSN
0925-2312
Publication Date
June 1, 2000
Volume
32-33
Start / End Page
307 / 312
Related Subject Headings
- Artificial Intelligence & Image Processing
- 52 Psychology
- 46 Information and computing sciences
- 40 Engineering
- 17 Psychology and Cognitive Sciences
- 09 Engineering
- 08 Information and Computing Sciences
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Brunel, N. (2000). Phase diagrams of sparsely connected networks of excitatory and inhibitory spiking neurons. In Neurocomputing (Vol. 32–33, pp. 307–312). https://doi.org/10.1016/S0925-2312(00)00179-X
Brunel, N. “Phase diagrams of sparsely connected networks of excitatory and inhibitory spiking neurons.” In Neurocomputing, 32–33:307–12, 2000. https://doi.org/10.1016/S0925-2312(00)00179-X.
Brunel N. Phase diagrams of sparsely connected networks of excitatory and inhibitory spiking neurons. In: Neurocomputing. 2000. p. 307–12.
Brunel, N. “Phase diagrams of sparsely connected networks of excitatory and inhibitory spiking neurons.” Neurocomputing, vol. 32–33, 2000, pp. 307–12. Scopus, doi:10.1016/S0925-2312(00)00179-X.
Brunel N. Phase diagrams of sparsely connected networks of excitatory and inhibitory spiking neurons. Neurocomputing. 2000. p. 307–312.

Published In
Neurocomputing
DOI
ISSN
0925-2312
Publication Date
June 1, 2000
Volume
32-33
Start / End Page
307 / 312
Related Subject Headings
- Artificial Intelligence & Image Processing
- 52 Psychology
- 46 Information and computing sciences
- 40 Engineering
- 17 Psychology and Cognitive Sciences
- 09 Engineering
- 08 Information and Computing Sciences