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The Expressive Leaky Memory Neuron: an Efficient and Expressive Phenomenological Neuron Model Can Solve Long-Horizon Tasks
March 19, 2024, 4:45 a.m. | Aaron Spieler, Nasim Rahaman, Georg Martius, Bernhard Sch\"olkopf, Anna Levina
cs.LG updates on arXiv.org arxiv.org
Abstract: Biological cortical neurons are remarkably sophisticated computational devices, temporally integrating their vast synaptic input over an intricate dendritic tree, subject to complex, nonlinearly interacting internal biological processes. A recent study proposed to characterize this complexity by fitting accurate surrogate models to replicate the input-output relationship of a detailed biophysical cortical pyramidal neuron model and discovered it needed temporal convolutional networks (TCN) with millions of parameters. Requiring these many parameters, however, could stem from a misalignment …
abstract arxiv complexity computational cs.ai cs.lg cs.ne devices horizon memory neuron neurons processes q-bio.nc solve study tasks tree type vast
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