ML Anthology

Coupling an aVLSI Neuromorphic Vision Chip to a Neurotrophic Model of Synaptic Plasticity: The Development of Topography

Terry Elliott, Jörg Kramer
NeCo 2002 pp. 2353-2370
doi:10.1162/08997660260293256 /neco/2002/elliott2002neco-coupling/

Abstract

We couple a previously studied, biologically inspired neurotrophic model of activity-dependent competitive synaptic plasticity and neuronal development to a neuromorphic retina chip. Using this system, we examine the development and refinement of a topographic mapping between an array of afferent neurons (the retinal ganglion cells) and an array of target neurons. We find that the plasticity model can indeed drive topographic refinement in the presence of afferent activity patterns generated by a real-world device. We examine the resilience of the developing system to the presence of high levels of noise by adjusting the spontaneous firing rate of the silicon neurons.

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Text

Elliott and Kramer. "Coupling an aVLSI Neuromorphic Vision Chip to a Neurotrophic Model of Synaptic Plasticity: The Development of Topography." Neural Computation, 2002. doi:10.1162/08997660260293256

Markdown

[Elliott and Kramer. "Coupling an aVLSI Neuromorphic Vision Chip to a Neurotrophic Model of Synaptic Plasticity: The Development of Topography." Neural Computation, 2002.](https://mlanthology.org/neco/2002/elliott2002neco-coupling/) doi:10.1162/08997660260293256

BibTeX

@article{elliott2002neco-coupling,
  title     = {{Coupling an aVLSI Neuromorphic Vision Chip to a Neurotrophic Model of Synaptic Plasticity: The Development of Topography}},
  author    = {Elliott, Terry and Kramer, Jörg},
  journal   = {Neural Computation},
  year      = {2002},
  pages     = {2353-2370},
  doi       = {10.1162/08997660260293256},
  volume    = {14},
  url       = {https://mlanthology.org/neco/2002/elliott2002neco-coupling/}
}