Neural Comp. NEW Faster Access
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


This Article
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Gerstner, W.
Right arrow Articles by Cowan, J. D.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Gerstner, W.
Right arrow Articles by Cowan, J. D.

Neural Computation, Vol 8, 1653-1676, Copyright © 1996 by The MIT Press


ARTICLES

What matters in neuronal locking?

W Gerstner, JL van Hemmen and JD Cowan
Physik-Department der TU Muchen, Germany.

Exploiting local stability, we show what neuronal characteristics are essential to ensure that coherent oscillations are asymptotically stable in a spatially homogeneous network of spiking neurons. Under standard conditions, a necessary and, in the limit of a large number of interacting neighbors, also sufficient condition is that the postsynaptic potential is increasing in time as the neurons fire. If the postsynaptic potential is decreasing, oscillations are bound to be unstable. This is a kind of locking theorem and boils down to a subtle interplay of axonal delays, postsynaptic potentials, and refractory behavior. The theorem also allows for mixtures of excitatory and inhibitory interactions. On the basis of the locking theorem, we present a simple geometric method to verify the existence and local stability of a coherent oscillation.


This article has been cited by other articles:


Home page
Neural Comput.Home page
B. Bathellier, A. Carleton, and W. Gerstner
Gamma Oscillations in a Nonlinear Regime: A Minimal Model Approach Using Heterogeneous Integrate-and-Fire Networks.
Neural Comput., December 1, 2008; 20(12): 2973 - 3002.
[Abstract] [Full Text] [PDF]


Home page
Neural Comput.Home page
N. Brunel and D. Hansel
How noise affects the synchronization properties of recurrent networks of inhibitory neurons.
Neural Comput., May 1, 2006; 18(5): 1066 - 1110.
[Abstract] [Full Text] [PDF]


Home page
J. Neurophysiol.Home page
D. S. Soteropoulos and S. N. Baker
Cortico-Cerebellar Coherence During a Precision Grip Task in the Monkey
J Neurophysiol, February 1, 2006; 95(2): 1194 - 1206.
[Abstract] [Full Text] [PDF]


Home page
J. Neurophysiol.Home page
C. Geisler, N. Brunel, and X.-J. Wang
Contributions of Intrinsic Membrane Dynamics to Fast Network Oscillations With Irregular Neuronal Discharges
J Neurophysiol, December 1, 2005; 94(6): 4344 - 4361.
[Abstract] [Full Text] [PDF]


Home page
J. Neurophysiol.Home page
H. G. Rotstein, D. D. Pervouchine, C. D. Acker, M. J. Gillies, J. A. White, E. H. Buhl, M. A. Whittington, and N. Kopell
Slow and Fast Inhibition and an H-Current Interact to Create a Theta Rhythm in a Model of CA1 Interneuron Network
J Neurophysiol, August 1, 2005; 94(2): 1509 - 1518.
[Abstract] [Full Text] [PDF]


Home page
Neural Comput.Home page
A. Tonnelier
Categorization of Neural Excitability Using Threshold Models
Neural Comput., July 1, 2005; 17(7): 1447 - 1455.
[Abstract] [Full Text] [PDF]


Home page
Biophys. JHome page
S. A. Oprisan, A. A. Prinz, and C. C. Canavier
Phase Resetting and Phase Locking in Hybrid Circuits of One Model and One Biological Neuron
Biophys. J., October 1, 2004; 87(4): 2283 - 2298.
[Abstract] [Full Text] [PDF]


Home page
Neural Comput.Home page
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]


Home page
Neural Comput.Home page
E. Brown, J. Moehlis, and P. Holmes
On the Phase Reduction and Response Dynamics of Neural Oscillator Populations
Neural Comput., April 1, 2004; 16(4): 673 - 715.
[Abstract] [Full Text] [PDF]


Home page
Neural Comput.Home page
M. Nomura, T. Fukai, and T. Aoyagi
Synchrony of Fast-Spiking Interneurons Interconnected by GABAergic and Electrical Synapses
Neural Comput., September 1, 2003; 15(9): 2179 - 2198.
[Abstract] [Full Text]


Home page
J. Neurophysiol.Home page
J. D. Hunter and J. G. Milton
Amplitude and Frequency Dependence of Spike Timing: Implications for Dynamic Regulation
J Neurophysiol, July 1, 2003; 90(1): 387 - 394.
[Abstract] [Full Text] [PDF]


Home page
J. Neurophysiol.Home page
N. Brunel and X.-J. Wang
What Determines the Frequency of Fast Network Oscillations With Irregular Neural Discharges? I. Synaptic Dynamics and Excitation-Inhibition Balance
J Neurophysiol, July 1, 2003; 90(1): 415 - 430.
[Abstract] [Full Text] [PDF]


Home page
Neural Comput.Home page
O. Araki and K. Aihara
Dual Information Representation with Stable Firing Rates and Chaotic Spatiotemporal Spike Patterns in a Neural Network Model
Neural Comput., December 1, 2001; 13(12): 2799 - 2822.
[Abstract] [Full Text]


Home page
Neural Comput.Home page
J. Eggert and J. L. van Hemmen
Modeling Neuronal Assemblies: Theory and Implementation
Neural Comput., September 1, 2001; 13(9): 1923 - 1974.
[Abstract] [Full Text] [PDF]


Home page
Neural Comput.Home page
C. R. Laing and C. C. Chow
Stationary Bumps in Networks of Spiking Neurons
Neural Comput., July 1, 2001; 13(7): 1473 - 1494.
[Abstract] [Full Text]


Home page
Neural Comput.Home page
C. van Vreeswijk and D. Hansel
Patterns of Synchrony in Neural Networks with Spike Adaptation
Neural Comput., May 1, 2001; 13(5): 959 - 992.
[Abstract] [Full Text]


Home page
Neural Comput.Home page
L. Neltner and D. Hansel
On Synchrony of Weakly Coupled Neurons at Low Firing Rate
Neural Comput., April 1, 2001; 13(4): 765 - 774.
[Abstract] [Full Text]


Home page
Neural Comput.Home page
G. S. Cymbalyuk, G. N. Patel, R. L. Calabrese, S. P. DeWeerth, and A. H. Cohen
Modeling Alternation to Synchrony with Inhibitory Coupling: A Neuromorphic VLSI Approach
Neural Comput., October 1, 2000; 12(10): 2259 - 2278.
[Abstract] [Full Text]


Home page
Neural Comput.Home page
J. Karbowski and N. Kopell
Multispikes and Synchronization in a Large Neural Network with Temporal Delays
Neural Comput., July 1, 2000; 12(7): 1573 - 1606.
[Abstract] [Full Text]


Home page
Neural Comput.Home page
L. Neltner, D. Hansel, G. Mato, and C. Meunier
Synchrony in Heterogeneous Networks of Spiking Neurons
Neural Comput., July 1, 2000; 12(7): 1607 - 1641.
[Abstract] [Full Text]


Home page
Neural Comput.Home page
C. C. Chow and N. Kopell
Dynamics of Spiking Neurons with Electrical Coupling
Neural Comput., July 1, 2000; 12(7): 1643 - 1678.
[Abstract] [Full Text]


Home page
Proc. Natl. Acad. Sci. USAHome page
J. A. White, M. I. Banks, R. A. Pearce, and N. J. Kopell
Networks of interneurons with fast and slow gamma -aminobutyric acid type A (GABAA) kinetics provide substrate for mixed gamma-theta rhythm
PNAS, June 23, 2000; (2000) 100124097.
[Abstract] [Full Text]


Home page
Neural Comput.Home page
D. Golomb and D. Hansel
The Number of Synaptic Inputs and the Synchrony of Large, Sparse Neuronal Networks
Neural Comput., May 1, 2000; 12(5): 1095 - 1139.
[Abstract] [Full Text]


Home page
Neural Comput.Home page
J. Rubin and D. Terman
Geometric Analysis of Population Rhythms in Synaptically Coupled Neuronal Networks
Neural Comput., March 1, 2000; 12(3): 597 - 645.
[Abstract] [Full Text]


Home page
Proc. Natl. Acad. Sci. USAHome page
N. Kopell, G. B. Ermentrout, M. A. Whittington, and R. D. Traub
Gamma rhythms and beta rhythms have different synchronization properties
PNAS, February 15, 2000; 97(4): 1867 - 1872.
[Abstract] [Full Text] [PDF]


Home page
Neural Comput.Home page
S. R. Campbell, D. L. Wang, and C. Jayaprakash
Synchrony and Desynchrony in Integrate-and-Fire Oscillators
Neural Comput., October 1, 1999; 11(7): 1595 - 1619.
[Abstract] [Full Text]


Home page
Proc. Natl. Acad. Sci. USAHome page
D. J. Mar, C. C. Chow, W. Gerstner, R. W. Adams, and J. J. Collins
Noise shaping in populations of coupled model neurons
PNAS, August 31, 1999; 96(18): 10450 - 10455.
[Abstract] [Full Text] [PDF]


Home page
Neural Comput.Home page
A. N. Burkitt and G. M. Clark
Analysis of Integrate-and-Fire Neurons: Synchronization of Synaptic Input and Spike Output
Neural Comput., May 15, 1999; 11(4): 871 - 901.
[Abstract] [Full Text]


Home page
J. Neurophysiol.Home page
J. D. Hunter, J. G. Milton, P. J. Thomas, and J. D. Cowan
Resonance Effect for Neural Spike Time Reliability
J Neurophysiol, September 1, 1998; 80(3): 1427 - 1438.
[Abstract] [Full Text] [PDF]


Home page
J. Neurosci.Home page
F. Nadim, Y. Manor, M. P. Nusbaum, and E. Marder
Frequency Regulation of a Slow Rhythm by a Fast Periodic Input
J. Neurosci., July 1, 1998; 18(13): 5053 - 5067.
[Abstract] [Full Text] [PDF]


Home page
Proc. Natl. Acad. Sci. USAHome page
G. B. Ermentrout and N. Kopell
Fine structure of neural spiking and synchronization in the presence of conduction delays
PNAS, February 3, 1998; 95(3): 1259 - 1264.
[Abstract] [Full Text] [PDF]


Home page
Proc. Natl. Acad. Sci. USAHome page
J. A. White, M. I. Banks, R. A. Pearce, and N. J. Kopell
Networks of interneurons with fast and slow gamma -aminobutyric acid type A (GABAA) kinetics provide substrate for mixed gamma-theta rhythm
PNAS, July 5, 2000; 97(14): 8128 - 8133.
[Abstract] [Full Text] [PDF]




HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
J COGNITIVE NEUROSCIENCE NEURAL COMPUTATION MIT PRESS JOURNALS
Copyright © 1996 by The MIT Press.