articleProceedings of the IEEEApr 24, 2014Closed access

Neurogrid: A Mixed-Analog-Digital Multichip System for Large-Scale Neural Simulations

Stanford University · Intel (United States) · +2 more institutions

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Abstract

In this paper, we describe the design of Neurogrid, a neuromorphic system for simulating large-scale neural models in real time. Neuromorphic systems realize the function of biological neural systems by emulating their structure. Designers of such systems face three major design choices: 1) whether to emulate the four neural elements-axonal arbor, synapse, dendritic tree, and soma-with dedicated or shared electronic circuits; 2) whether to implement these electronic circuits in an analog or digital manner; and 3) whether to interconnect arrays of these silicon neurons with a mesh or a tree network. The choices we made were: 1) we emulated all neural elements except the soma with shared electronic circuits;…

Citation impact

1,250
total citations
FWCI
60.03
Percentile
100%
References
86
Citations per year

Authors

10

Topics & keywords

Keywords
  • Neuromorphic engineering
  • Soma
  • Computer science
  • Biological neural network
  • Artificial neural network
  • Electronic circuit
  • Interconnection
  • Analogue electronics
UN Sustainable Development Goals
  • Affordable and clean energy
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