SYNAPTIC BACKGROUND ACTIVITY INFLUENCES SPATIOTEMPORAL INTEGRATION IN SINGLE PYRAMIDAL CELLS

被引:402
作者
BERNANDER, O
DOUGLAS, RJ
MARTIN, KAC
KOCH, C
机构
[1] CALTECH,DIV BIOL,COMPUTAT & NEURAL SYST PROGRAM,216-76,PASADENA,CA 91125
[2] MRC,ANAT NEUROPHARMACOL UNIT,OXFORD OX1 3QT,ENGLAND
关键词
TIME CONSTANT; INPUT RESISTANCE; INTRACELLULAR RECORDING; SYNAPTIC INTEGRATION;
D O I
10.1073/pnas.88.24.11569
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 standard one-dimensional Rall cable model assumes that the electrotonic structure of neurons does not change in response to synaptic input. This model is used in a great number of both theoretical and anatomical-physiological structure-function studies. In particular, the membrane time constant, tau(m), the somatic input resistance, R(in), and the electrotonic length are used to characterize single cells. However, these studies do not take into account that neurons are embedded in a network of spontaneously active cells. Synapses from these cells will contribute significantly to the membrane conductance, especially if recent evidence of very high specific membrane resistance, R(m) = 100 k-OMEGA.cm2, is taken into account. We numerically simulated the electrical behavior of an anatomically reconstructed layer V cortical pyramidal cell receiving input from 4000 excitatory and 1000 inhibitory cells firing spontaneously at 0-7 Hz. We found that, over this range of synaptic background activity, tau(m) and R(in) change by a factor of 10 (80-7 msec, 110-14 M-OMEGA) and the electrotonic length of the cell changes by a factor of 3. We show that this significantly changes the response of the cell to temporal desynchronized versus temporal synchronized synaptic input distributed throughout the neuron. Thus, the global activity of the network can control how individual cells perform spatial and temporal integration.
引用
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页码:11569 / 11573
页数:5
相关论文
共 31 条
[21]  
NEHER E, 1970, THESIS U MUNICH MUNI
[22]   ELECTROTONIC STRUCTURE OF OLFACTORY SENSORY NEURONS ANALYZED BY INTRACELLULAR AND WHOLE CELL PATCH TECHNIQUES [J].
PONGRACZ, F ;
FIRESTEIN, S ;
SHEPHERD, GM .
JOURNAL OF NEUROPHYSIOLOGY, 1991, 65 (03) :747-758
[23]  
RAPP M, 1992, IN PRESS NEURAL COMP
[24]  
SEGEV I, 1991, IN PRESS SINGLE NEUR
[25]   MEMBRANE RESISTIVITY ESTIMATED FOR THE PURKINJE NEURON BY MEANS OF A PASSIVE COMPUTER-MODEL [J].
SHELTON, DP .
NEUROSCIENCE, 1985, 14 (01) :111-131
[26]  
SPRUSTON N, 1991, IN PRESS J NEUROPHYS
[27]   REPETITIVE FIRING IN LAYER-V NEURONS FROM CAT NEOCORTEX INVITRO [J].
STAFSTROM, CE ;
SCHWINDT, PC ;
CRILL, WE .
JOURNAL OF NEUROPHYSIOLOGY, 1984, 52 (02) :264-277
[28]  
Stratford K., 1989, COMPUTING NEURON
[29]  
White E. L., 1989, CORTICAL CIRCUITS
[30]   BIOPHYSICAL MODEL OF A HEBBIAN SYNAPSE [J].
ZADOR, A ;
KOCH, C ;
BROWN, TH .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 1990, 87 (17) :6718-6722