The gradient clusteron: A model neuron that learns to solve classification tasks via dendritic nonlinearities, structural plasticity, and gradient descent

Synaptic clustering on neuronal dendrites has been hypothesized to play an important role in implementing pattern recognition. Neighboring synapses on a dendritic branch can interact in a synergistic, cooperative manner via nonlinear voltage-dependent mechanisms, such as NMDA receptors. Inspired by...

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Veröffentlicht in:	PLoS computational biology 2021-05, Vol.17 (5), p.e1009015-e1009015
Hauptverfasser:	Moldwin, Toviah, Kalmenson, Menachem, Segev, Idan
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Analysis Biology and Life Sciences Classification Commonality Computer and Information Sciences Dendritic plasticity Dendritic structure Electron microscopy Enrichment Ion channels Machine learning Medicine and Health Sciences Methods Neural networks Neurons Neuroplasticity Nonlinearity Plastic properties Plasticity Presynapse Rectangles Shades Social Sciences Synapses Synaptic plasticity Synaptic strength
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