Synchrony in Heterogeneous Networks of Spiking Neurons

Neural Computation - Tập 12 Số 7 - Trang 1607-1641 - 2000
L. Neltner1, David Hansel1, Germán Mato2, Claude Meunier1
1Laboratoire de Neurophysique et Physiologie du Système Moteur, Université René Descartes, 75270 Paris Cedex 06, France
2Comisión Nacional de Energía Atómica and CONICET, Centro Atómico Bariloche and Instituto Balseiro (CNEA and UNC), 8400 San Carlos de Bariloche, R.N., Argentina

Tóm tắt

The emergence of synchrony in the activity of large, heterogeneous networks of spiking neurons is investigated. We define the robustness of synchrony by the critical disorder at which the asynchronous state becomes linearly unstable. We show that at low firing rates, synchrony is more robust in excitatory networks than in inhibitory networks, but excitatory networks cannot display any synchrony when the average firing rate becomes too high. We introduce a new regime where all inputs, external and internal, are strong and have opposite effects that cancel each other when averaged. In this regime, the robustness of synchrony is strongly enhanced, and robust synchrony can be achieved at a high firing rate in inhibitory networks. On the other hand, in excitatory networks, synchrony remains limited in frequency due to the intrinsic instability of strong recurrent excitation.

Từ khóa


Tài liệu tham khảo

10.1103/PhysRevE.48.1483

10.1016/0959-4388(95)80012-3

10.1016/S0167-2789(98)00082-7

10.1023/A:1008889328787

10.1038/378075a0

10.1038/28184

10.1007/BF00202899

10.1162/neco.1996.8.5.979

10.1162/neco.1996.8.8.1653

10.1103/PhysRevE.50.3171

10.1103/PhysRevA.45.3516

10.1103/PhysRevE.48.4810

10.1016/0167-2789(94)90214-3

10.1007/BF00962716

10.1073/pnas.86.5.1698

10.1113/jphysiol.1984.sp015473

10.1113/jphysiol.1984.sp015511

10.1016/0378-4371(93)90573-M

10.1209/0295-5075/23/5/011

10.1162/neco.1995.7.2.307

10.1162/089976698300017845

10.1103/PhysRevLett.68.718

10.1007/BF00158335

10.1152/jn.1993.69.5.1661

10.1152/jn.1993.69.5.1673

10.1016/S0959-4388(97)80034-7

10.1038/36335

10.1007/BF01029202

10.1103/PhysRevE.54.5522

10.1007/BF00961879

10.1126/science.274.5293.1724

10.1162/089976698300017214

10.1523/JNEUROSCI.16-20-06402.1996

10.1023/A:1008841325921

10.1038/373612a0

Thông tin
: []
Thông tin xuất bản

Neural Computation

Tập 12 Số 7

1607-1641

Thông tin tác giả