Koulakov, A. A., Hromadka, T., Zador, A. M. (March 2009) Correlated Connectivity and the Distribution of Firing Rates in the Neocortex. J Neurosci, 29 (12). pp. 3685-3694. ISSN 0270-6474
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Abstract
Two recent experimental observations pose a challenge to many cortical models. First, the activity in the auditory cortex is sparse, and firing rates can be described by a lognormal distribution. Second, the distribution of nonzero synaptic strengths between nearby cortical neurons can also be described by a lognormal distribution. Here we use a simple model of cortical activity to reconcile these observations. The model makes the experimentally testable prediction that synaptic efficacies onto a given cortical neuron are statistically correlated, i.e., it predicts that some neurons receive stronger synapses than other neurons. We propose a simple Hebb-like learning rule that gives rise to such correlations and yields both lognormal firing rates and synaptic efficacies. Our results represent a first step toward reconciling sparse activity and sparse connectivity in cortical networks.
| Item Type: | Paper |
|---|---|
| Uncontrolled Keywords: | CORTICAL-NEURONS cortical neurons GAIN MODULATION gain modulation VISUAL-CORTEX visual cortex STATISTICAL-ANALYSIS statistical analysis SIMPLE-MODEL simple model INPUT input CELLS cells PLASTICITY plasticity SYNAPSES synapses CIRCUITS circuits |
| Subjects: | bioinformatics > computational biology organs, tissues, organelles, cell types and functions > tissues types and functions > visual cortex |
| CSHL Authors: | |
| Communities: | CSHL labs > Koulakov lab CSHL labs > Zador lab School of Biological Sciences > Publications |
| Depositing User: | Leigh Johnson |
| Date: | 25 March 2009 |
| Date Deposited: | 28 Mar 2012 19:01 |
| Last Modified: | 06 Nov 2017 20:56 |
| PMCID: | PMC2784918 |
| Related URLs: | |
| URI: | https://repository.cshl.edu/id/eprint/25603 |
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