Neural Comput - Does high firing irregularity enhance learning?

Tópicos

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Resumo

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.

Resumo Limpo

note demonstr high fire irregular produc leaki integrateandfir neuron partial somat reset mechan shown like candid reflect mechan use brain reproduc high irregular cortic neuron fire high rate bugmann christodoulou taylor christodoulou bugmann enhanc learn specif enhanc rewardmodul spiketimingdepend plastic elig trace use spike neural network shown result test simpl benchmark problem xor well complex multiag set task

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