Literature DB >> 21162670

Does high firing irregularity enhance learning?

Chris Christodoulou1, Aristodemos Cleanthous.   

Abstract

In this note, we demonstrate that the high firing irregularity produced by the leaky integrate-and-fire neuron with the partial somatic reset mechanism, which has been shown to be the most likely candidate to reflect the mechanism used in the brain for reproducing the highly irregular cortical neuron firing at high rates (Bugmann, Christodoulou, & Taylor, 1997; Christodoulou & Bugmann, 2001), enhances learning. More specifically, it enhances reward-modulated spike-timing-dependent plasticity with eligibility trace when used in spiking neural networks, as shown by the results when tested in the simple benchmark problem of XOR, as well as in a complex multiagent setting task.

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Year:  2010        PMID: 21162670     DOI: 10.1162/NECO_a_00090

Source DB:  PubMed          Journal:  Neural Comput        ISSN: 0899-7667            Impact factor:   2.026


  5 in total

1.  Overexpression of cypin alters dendrite morphology, single neuron activity, and network properties via distinct mechanisms.

Authors:  Ana R Rodríguez; Kate M O'Neill; Przemyslaw Swiatkowski; Mihir V Patel; Bonnie L Firestein
Journal:  J Neural Eng       Date:  2018-02       Impact factor: 5.379

2.  Excitatory, inhibitory, and structural plasticity produce correlated connectivity in random networks trained to solve paired-stimulus tasks.

Authors:  Mark A Bourjaily; Paul Miller
Journal:  Front Comput Neurosci       Date:  2011-09-12       Impact factor: 2.380

3.  Stochastic and deterministic dynamics of intrinsically irregular firing in cortical inhibitory interneurons.

Authors:  Philipe Rf Mendonça; Mariana Vargas-Caballero; Ferenc Erdélyi; Gábor Szabó; Ole Paulsen; Hugh Pc Robinson
Journal:  Elife       Date:  2016-08-18       Impact factor: 8.140

4.  Fano Factor: A Potentially Useful Information.

Authors:  Kamil Rajdl; Petr Lansky; Lubomir Kostal
Journal:  Front Comput Neurosci       Date:  2020-11-20       Impact factor: 2.380

5.  Coexistence of reward and unsupervised learning during the operant conditioning of neural firing rates.

Authors:  Robert R Kerr; David B Grayden; Doreen A Thomas; Matthieu Gilson; Anthony N Burkitt
Journal:  PLoS One       Date:  2014-01-27       Impact factor: 3.240

  5 in total

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