| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH | TABLE OF CONTENTS |
|
|
|
|||||||
|
|||||||||
Letter |
Department of Biophysics, University of Nijmegen, 6525 EZ Nijmegen, The Netherlands
Department of Biophysics, University of Nijmegen, 6525 EZ Nijmegen, The Netherlands
We investigate the firing characteristics of conductance-based integrate-and-fire neurons and the correlation of firing for uncoupled pairs of neurons as a result of common input and synchronous firing of multiple synaptic inputs. Analytical approximations are derived for the moments of the steady state potential and the effective time constant. We show that postsynaptic firing barely depends on the correlation between inhibitory inputs; only the inhibitory firing rate matters. In contrast, both the degree of synchrony and the firing rate of excitatory inputs are relevant. A coefficient of variation CV>1 can be attained with low inhibitory firing rates and (Poisson-modulated) synchronized excitatory synaptic input, where both the number of presynaptic neurons in synchronous firing assemblies and the synchronous firing rate should be sufficiently large. The correlation in firing of a pair of uncoupled neurons due to common excitatory input is initially increased for increasing firing rates of independent inhibitory inputs but decreases for large inhibitory firing rates. Common inhibitory input to a pair of uncoupled neurons barely induces correlated firing, but amplifies the effect of common excitation. Synchronous firing assemblies in the common input further enhance the correlation and are essential to attain experimentally observed correlation values. Since uncorrelated common input (i.e., common input by neurons, which do not fire in synchrony) cannot induce sufficient postsynaptic correlation, we conclude that lateral couplings are essential to establish clusters of synchronously firing neurons.
This article has been cited by other articles:
|
|
 |
|
  T. Tetzlaff, S. Rotter, E. Stark, M. Abeles, A. Aertsen, and M. Diesmann Dependence of Neuronal Correlations on Filter Characteristics and Marginal Spike Train Statistics Neural Comput., September 1, 2008; 20(9): 2133 - 2184. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
B. Kriener, T. Tetzlaff, A. Aertsen, M. Diesmann, and S. Rotter Correlations and Population Dynamics in Cortical Networks Neural Comput., September 1, 2008; 20(9): 2185 - 2226. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
E. Niebur Generation of synthetic spike trains with defined pairwise correlations. Neural Comput., July 1, 2007; 19(7): 1720 - 1738. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
A. Kumar, S. Schrader, A. Aertsen, and S. Rotter The High-Conductance State of Cortical Networks Neural Comput., January 1, 2007; 20(1): 1 - 43. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
M. Zeitler, P. Fries, and S. Gielen Assessing neuronal coherence with single-unit, multi-unit, and local field potentials. Neural Comput., September 1, 2006; 18(9): 2256 - 2281. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 R. F. Galan, N. Fourcaud-Trocme, G. B. Ermentrout, and N. N. Urban Correlation-induced synchronization of oscillations in olfactory bulb neurons. J. Neurosci., April 5, 2006; 26(14): 3646 - 3655. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
M. J. E. Richardson and W. Gerstner Synaptic Shot Noise and Conductance Fluctuations Affect the Membrane Voltage with Equal Significance Neural Comput., April 1, 2005; 17(4): 923 - 947. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 M. Tomita and J. J. Eggermont Cross-Correlation and Joint Spectro-Temporal Receptive Field Properties in Auditory Cortex J Neurophysiol, January 1, 2005; 93(1): 378 - 392. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
A. Benucci, P. F.M.J. Verschure, and P. Konig Two-State Membrane Potential Fluctuations Driven by Weak Pairwise Correlations Neural Comput., November 1, 2004; 16(11): 2351 - 2378. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 A. J. DOUPE, M. M. SOLIS, R. KIMPO, and C. A. BOETTIGER Cellular, Circuit, and Synaptic Mechanisms in Song Learning Ann. N.Y. Acad. Sci., June 1, 2004; 1016(1): 495 - 523. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
A. N. Burkitt, H. Meffin, and D. B. Grayden Spike-Timing-Dependent Plasticity: The Relationship to Rate-Based Learning for Models with Weight Dynamics Determined by a Stable Fixed Point Neural Comput., May 1, 2004; 16(5): 885 - 940. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
N. Masuda and K. Aihara Self-Organizing Dual Coding Based on Spike-Time-Dependent Plasticity Neural Comput., March 1, 2004; 16(3): 627 - 663. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
R. R. Kimpo, F. E. Theunissen, and A. J. Doupe Propagation of Correlated Activity through Multiple Stages of a Neural Circuit J. Neurosci., July 2, 2003; 23(13): 5750 - 5761. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
Y. Aviel, C. Mehring, M. Abeles, and D. Horn On Embedding Synfire Chains in a Balanced Network Neural Comput., June 1, 2003; 15(6): 1321 - 1340. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
S. Mikula and E. Niebur The Effects of Input Rate and Synchrony on a Coincidence Detector: Analytical Solution Neural Comput., March 1, 2003; 15(3): 539 - 547. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
A. Kuhn, A. Aertsen, and S. Rotter Higher-Order Statistics of Input Ensembles and the Response of Simple Model Neurons Neural Comput., January 1, 2003; 15(1): 67 - 101. [Abstract] [Full Text] [PDF]
|
|
| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH | TABLE OF CONTENTS |
| J COGNITIVE NEUROSCIENCE | NEURAL COMPUTATION | MIT PRESS JOURNALS |
