Hello. Sign in to personalize your visit. New user? Register now. UNIVERSITAETSBIBL FREIBURG  

288 pp. per issue, 6 x 9,
Founded: 1989
ISSN 0899-7667
E-ISSN 1530-888X
ISI Impact Factor: 2.313

Neural Computation

June 2007, Vol. 19, No. 6, Pages 1437-1467
Posted Online April 19, 2007.

Spike-Timing-Dependent Plasticity in Balanced Random Networks

Abigail Morrison

Computational Neuroscience Group, RIKEN Brain Science Institute, Wako City, Saitama 351-0198, Japan

Ad Aertsen

Neurobiology and Biophysics, Institute of Biology III, Albert-Ludwigs-University, 79104 Freiburg, Germany

Markus Diesmann

Computational Neuroscience Group, RIKEN Brain Science Institute, Wako City, Saitama 351-0198, Japan

The balanced random network model attracts considerable interest because it explains the irregular spiking activity at low rates and large membrane potential fluctuations exhibited by cortical neurons in vivo. In this article, we investigate to what extent this model is also compatible with the experimentally observed phenomenon of spike-timing-dependent plasticity (STDP).

Confronted with the plethora of theoretical models for STDP available, we reexamine the experimental data. On this basis, we propose a novel STDP update rule, with a multiplicative dependence on the synaptic weight for depression, and a power law dependence for potentiation. We show that this rule, when implemented in large, balanced networks of realistic connectivity and sparseness, is compatible with the asynchronous irregular activity regime. The resultant equilibrium weight distribution is unimodal with fluctuating individual weight trajectories and does not exhibit development of structure. We investigate the robustness of our results with respect to the relative strength of depression.

We introduce synchronous stimulation to a group of neurons and demonstrate that the decoupling of this group from the rest of the network is so severe that it cannot effectively control the spiking of other neurons, even those with the highest convergence from this group.

PDF (851 KB) PDF Plus (862 KB)
Technology Partner - Atypon Systems, Inc.
  CrossRef member COUNTER member