Propagating activity patterns in large-scale inhibitory neuronal networks

被引:105
作者
Rinzel, J
Terman, D
Wang, XJ
Ermentrout, B
机构
[1] NIDDKD, Math Res Branch, NIH, Bethesda, MD 20892 USA
[2] Ohio State Univ, Dept Math, Columbus, OH 43210 USA
[3] Brandeis Univ, Ctr Complex Syst, Waltham, MA 02254 USA
[4] Brandeis Univ, Dept Phys, Waltham, MA 02254 USA
[5] Univ Pittsburgh, Dept Math, Pittsburgh, PA 15260 USA
关键词
D O I
10.1126/science.279.5355.1351
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The propagation of activity is studied in a spatially structured network model of gamma-aminobutyric acid-containing (GABAergic) neurons exhibiting postinhibitory rebound. In contrast to excitatory-coupled networks, recruitment spreads very slowly because cells fire only after the postsynaptic conductance decays, and with two possible propagation modes. If the connection strength decreases monotonically with distance (on-center), then propagation occurs in a discontinuous manner. If the self-and nearby connections are absent (off-center), propagation can proceed smoothly. Modest changes in the synaptic reversal potential can result in depolarization-mediated waves that are 25 times faster. Functional and developmental roles for these behaviors and implications for thalamic circuitry are suggested.
引用
收藏
页码:1351 / 1355
页数:5
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