Timing intervals using population synchrony and spike timing dependent plasticity
We present a computational model by which ensembles of regularly spiking neurons can encode different time intervals through synchronous firing. We show that a neuron responding to a large population of convergent inputs has the potential to learn to produce an appropriately-timed output via spike-...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2016-12-01
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| Series: | Frontiers in Computational Neuroscience |
| Subjects: | |
| Online Access: | http://journal.frontiersin.org/Journal/10.3389/fncom.2016.00123/full |
| _version_ | 1818438189200703488 |
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| author | Wei Xu Stuart Baker |
| author_facet | Wei Xu Stuart Baker |
| author_sort | Wei Xu |
| collection | DOAJ |
| description | We present a computational model by which ensembles of regularly spiking neurons can encode different time intervals through synchronous firing. We show that a neuron responding to a large population of convergent inputs has the potential to learn to produce an appropriately-timed output via spike-time dependent plasticity. We explain why temporal variability of this population synchrony increases with increasing time intervals. We also show that the scalar property of timing and its violation at short intervals can be explained by the spike-wise accumulation of jitter in the inter-spike intervals of timing neurons. We explore how the challenge of encoding longer time intervals can be overcome and conclude that this may involve a switch to a different population of neurons with lower firing rate, with the added effect of producing an earlier bias in response. Experimental data on human timing performance show features in agreement with the model’s output. |
| first_indexed | 2024-12-14T17:36:36Z |
| format | Article |
| id | doaj.art-168fbaca056246d3ab5ac58ad423001d |
| institution | Directory Open Access Journal |
| issn | 1662-5188 |
| language | English |
| last_indexed | 2024-12-14T17:36:36Z |
| publishDate | 2016-12-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Computational Neuroscience |
| spelling | doaj.art-168fbaca056246d3ab5ac58ad423001d2022-12-21T22:52:57ZengFrontiers Media S.A.Frontiers in Computational Neuroscience1662-51882016-12-011010.3389/fncom.2016.00123205891Timing intervals using population synchrony and spike timing dependent plasticityWei Xu0Stuart Baker1Newcastle UniversityNewcastle UniversityWe present a computational model by which ensembles of regularly spiking neurons can encode different time intervals through synchronous firing. We show that a neuron responding to a large population of convergent inputs has the potential to learn to produce an appropriately-timed output via spike-time dependent plasticity. We explain why temporal variability of this population synchrony increases with increasing time intervals. We also show that the scalar property of timing and its violation at short intervals can be explained by the spike-wise accumulation of jitter in the inter-spike intervals of timing neurons. We explore how the challenge of encoding longer time intervals can be overcome and conclude that this may involve a switch to a different population of neurons with lower firing rate, with the added effect of producing an earlier bias in response. Experimental data on human timing performance show features in agreement with the model’s output.http://journal.frontiersin.org/Journal/10.3389/fncom.2016.00123/fullsimulationsynaptic plasticitytimingsynchronyneuronal networks |
| spellingShingle | Wei Xu Stuart Baker Timing intervals using population synchrony and spike timing dependent plasticity Frontiers in Computational Neuroscience simulation synaptic plasticity timing synchrony neuronal networks |
| title | Timing intervals using population synchrony and spike timing dependent plasticity |
| title_full | Timing intervals using population synchrony and spike timing dependent plasticity |
| title_fullStr | Timing intervals using population synchrony and spike timing dependent plasticity |
| title_full_unstemmed | Timing intervals using population synchrony and spike timing dependent plasticity |
| title_short | Timing intervals using population synchrony and spike timing dependent plasticity |
| title_sort | timing intervals using population synchrony and spike timing dependent plasticity |
| topic | simulation synaptic plasticity timing synchrony neuronal networks |
| url | http://journal.frontiersin.org/Journal/10.3389/fncom.2016.00123/full |
| work_keys_str_mv | AT weixu timingintervalsusingpopulationsynchronyandspiketimingdependentplasticity AT stuartbaker timingintervalsusingpopulationsynchronyandspiketimingdependentplasticity |