Delay selection by spike-timing-dependent plasticity in recurrent networks of spiking neurons receiving oscillatory inputs
| dc.contributor.author | Kerr, Robert | |
| dc.contributor.author | Burkitt, Anthony | |
| dc.contributor.author | Thomas, Doreen | |
| dc.contributor.author | Gilson, Matthieu | |
| dc.contributor.author | Grayden, David | |
| dc.date.accessioned | 2013-06-14T04:37:10Z | |
| dc.date.available | 2013-06-14T04:37:10Z | |
| dc.date.issued | 2013-02-07 | |
| dc.description.abstract | Learning rules, such as spike-timing-dependent plasticity (STDP), change the structure of networks of neurons based on the firing activity. A network level understanding of these mechanisms can help infer how the brain learns patterns and processes information. Previous studies have shown that STDP selectively potentiates feed-forward connections that have specific axonal delays, and that this underlies behavioral functions such as sound localization in the auditory brainstem of the barn owl. In this study, we investigate how STDP leads to the selective potentiation of recurrent connections with different axonal and dendritic delays during oscillatory activity. We develop analytical models of learning with additive STDP in recurrent networks driven by oscillatory inputs, and support the results using simulations with leaky integrate-and-fire neurons. Our results show selective potentiation of connections with specific axonal delays, which depended on the input frequency. In addition, we demonstrate how this can lead to a network becoming selective in the amplitude of its oscillatory response to this frequency. We extend this model of axonal delay selection within a single recurrent network in two ways. First, we show the selective potentiation of connections with a range of both axonal and dendritic delays. Second, we show axonal delay selection between multiple groups receiving out-of-phase, oscillatory inputs. We discuss the application of these models to the formation and activation of neuronal ensembles or cell assemblies in the cortex, and also to missing fundamental pitch perception in the auditory brainstem. | en_US |
| dc.description.sponsorship | This work is funded by Australian Research Council Discovery Project DP1096699 (http://www.arc.gov.au). The Bionics Institute acknowledges the support it receives from the Victorian Government through its Operational Infrastructure Support Program. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. | en_US |
| dc.identifier.citation | Kerr, R. R., Burkitt, A. N., Thomas, D. A., Gilson, M., & Grayden, D. B. (2013). Delay Selection by Spike-Timing-Dependent Plasticity in Recurrent Networks of Spiking Neurons Receiving Oscillatory Inputs. Plos Computational Biology, 9(2). | en_US |
| dc.identifier.issn | 1553-734X | |
| dc.identifier.uri | http://repository.bionicsinstitute.org:8080/handle/123456789/35 | |
| dc.language.iso | en | en_US |
| dc.publisher | PLOS | en_US |
| dc.subject | Spike-timing-dependent plasticity | en_US |
| dc.subject | Action Potentials | en_US |
| dc.subject | Algorithms | en_US |
| dc.subject | Models, Neurological | en_US |
| dc.subject | Neuronal Plasticity - physiology | en_US |
| dc.subject | Synapses - physiology | en_US |
| dc.subject | Synaptic Transmission | en_US |
| dc.subject | Time Factors | en_US |
| dc.subject | Learning | en_US |
| dc.title | Delay selection by spike-timing-dependent plasticity in recurrent networks of spiking neurons receiving oscillatory inputs | en_US |
| dc.type | Article | en_US |