Shen, X., Lin, X., De Wilde, Philippe (2008) Oscillations and spiking pairs: Behavior of a neuronal model with STDP learning. Neural Computation, 20 (8). pp. 2037-2069. ISSN 0899-7667. (doi:10.1162/neco.2008.08-06-317) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:93356)
The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. | |
Official URL: https://doi.org/10.1162/neco.2008.08-06-317 |
Abstract
In a biologically plausible but computationally simplified integrate-and-fire neuronal population, it is observed that transient synchronized spikes can occur repeatedly. However, groups with different properties exhibit different periods and different patterns of synchrony. We include learning mechanisms in these models. The effects of spike-timing- dependent plasticity have been known to play a distinct role in information processing in the central nervous system for several years. In this letter, neuronal models with dynamical synapses are constructed, and we analyze the effect of STDP on collective network behavior, such as oscillatory activity, weight distribution, and spike timing precision. We comment on how information is encoded by the neuronal signaling, when synchrony groups may appear, and what could contribute to the uncertainty in decision making.
Item Type: | Article |
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DOI/Identification number: | 10.1162/neco.2008.08-06-317 |
Subjects: | Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming, |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing |
Depositing User: | Philippe De Wilde |
Date Deposited: | 20 Dec 2022 11:38 UTC |
Last Modified: | 09 Jan 2023 10:15 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/93356 (The current URI for this page, for reference purposes) |
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