Effects of noisy drive on rhythms in networks of excitatory and inhibitory neurons

被引:151
作者
Börgers, C
Kopell, N
机构
[1] Tufts Univ, Dept Math, Medford, MA 02155 USA
[2] Boston Univ, Dept Math, Boston, MA 02215 USA
[3] Boston Univ, Ctr BioDynam, Boston, MA 02215 USA
关键词
D O I
10.1162/0899766053019908
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Synchronous rhythmic spiking in neuronal networks can be brought about by the interaction between E-cells and Icells ( excitatory and inhibitory cells). The I-cells gate and synchronize the E-cells, and the E-cells drive and synchronize the I-cells. We refer to rhythms generated in this way as PING ( pyramidal-interneuronal gamma) rhythms. The PING mechanism requires that the drive I-I to the I-cells be sufficiently low; the rhythm is lost when I-I gets too large. This can happen in at least two ways. In the first mechanism, the I-cells spike in synchrony, but get ahead of the E-cells, spiking without being prompted by the E-cells. We call this phase walkthrough of the I-cells. In the second mechanism, the I-cells fail to synchronize, and their activity leads to complete suppression of the E-cells. Noisy spiking in the E-cells, generated by noisy external drive, adds excitatory drive to the I-cells and may lead to phase walkthrough. Noisy spiking in the I-cells adds inhibition to the E-cells and may lead to suppression of the E-cells. An analysis of the conditions under which noise leads to phase walkthrough of the I-cells or suppression of the E-cells shows that PING rhythms at frequencies far below the gamma range are robust to noise only if network parameter values are tuned very carefully. Together with an argument explaining why the PING mechanism does not work far above the gamma range in the presence of heterogeneity, this justifies the "G" in "PING.".
引用
收藏
页码:557 / 608
页数:52
相关论文
共 69 条
[61]   Analysis of the asynchronous state in networks of strongly coupled oscillators [J].
van Vreeswijk, C .
PHYSICAL REVIEW LETTERS, 2000, 84 (22) :5110-5113
[62]  
Van Vreeswijk C, 1994, J Comput Neurosci, V1, P313
[63]   ALTERNATING AND SYNCHRONOUS RHYTHMS IN RECIPROCALLY INHIBITORY MODEL NEURONS [J].
WANG, XJ ;
RINZEL, J .
NEURAL COMPUTATION, 1992, 4 (01) :84-97
[64]   EMERGENT SPINDLE OSCILLATIONS AND INTERMITTENT BURST FIRING IN A THALAMIC MODEL - SPECIFIC NEURONAL MECHANISMS [J].
WANG, XJ ;
GOLOMB, D ;
RINZEL, J .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 1995, 92 (12) :5577-5581
[65]  
Wang XJ, 1996, J NEUROSCI, V16, P6402
[66]   Synchronization and oscillatory dynamics in heterogeneous, mutually inhibited neurons [J].
White, JA ;
Chow, CC ;
Ritt, J ;
Soto-Trevino, C ;
Kopell, N .
JOURNAL OF COMPUTATIONAL NEUROSCIENCE, 1998, 5 (01) :5-16
[67]   Inhibition-based rhythms: experimental and mathematical observations on network dynamics [J].
Whittington, MA ;
Traub, RD ;
Kopell, N ;
Ermentrout, B ;
Buhl, EH .
INTERNATIONAL JOURNAL OF PSYCHOPHYSIOLOGY, 2000, 38 (03) :315-336
[68]   Spatiotemporal patterns of gamma frequency oscillations tetanically induced in the rat hippocampal slice [J].
Whittington, MA ;
Stanford, IM ;
Colling, SB ;
Jefferys, JGR ;
Traub, RD .
JOURNAL OF PHYSIOLOGY-LONDON, 1997, 502 (03) :591-607
[69]   SYNCHRONIZED OSCILLATIONS IN INTERNEURON NETWORKS DRIVEN BY METABOTROPIC GLUTAMATE-RECEPTOR ACTIVATION [J].
WHITTINGTON, MA ;
TRAUB, RD ;
JEFFERYS, JGR .
NATURE, 1995, 373 (6515) :612-615