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Synaptic scaling balances learning in a spiking model of neocortex (Rowan & Neymotin 2013)
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Learning in the brain requires complementary mechanisms: potentiation and activity-dependent homeostatic scaling. We introduce synaptic scaling to a biologically-realistic spiking model of neocortex which can learn changes in oscillatory rhythms using STDP, and show that scaling is necessary to balance both positive and negative changes in input from potentiation and atrophy. We discuss some of the issues that arise when considering synaptic scaling in such a model, and show that scaling regulates activity whilst allowing learning to remain unaltered.
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Neocortex L5/6 pyramidal GLU cell Show
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Neocortex L2/3 pyramidal GLU cell Show
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Neocortex V1 interneuron basket PV GABA cell Show
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Neocortex fast spiking (FS) interneuron Show
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Neocortex spiny stellate cell Show
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Neocortex spiking regular (RS) neuron Show
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Neocortex spiking low threshold (LTS) neuron Show
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Abstract integrate-and-fire adaptive exponential (AdEx) neuron Show
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stdpscalingpaper
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Lytton, William [bill.lytton at downstate.edu] Show
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Neymotin, Sam [Samuel.Neymotin at nki.rfmh.org] Show
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Rowan, Mark [m.s.rowan at cs.bham.ac.uk] Show
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Rowan, Mark [m.s.rowan at cs.bham.ac.uk]
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