Encyclopedia of Computational Neuroscience

Living Edition
| Editors: Dieter Jaeger, Ranu Jung

Neuromorphic Hardware, Large Scale

  • Johannes Schemmel
Living reference work entry
DOI: https://doi.org/10.1007/978-1-4614-7320-6_115-4



A neuromorphic hardware system is an electronic system for information processing, based, to a certain degree, on the example of the biological nervous system. The operation of the whole system resembles the behavior of a network built from “neurons” and “synapses.” The degree of biological realism varies greatly between different research projects and targeted applications. Large-scale neuromorphic hardware projects target system sizes in the order of at least 106 synapses, but some aim for up to 1014. Therefore, scalability is an important aspect of large-scale neuromorphic hardware, which also distinguishes it from medium- and small-scale neuromorphic hardware.

Detailed Description

Since its invention by Carver Mead (Mead 1989) in the 1980s, the term neuromorphic hardware has undergone a big shift in meaning. Was it originally coined for analog circuitry mimicking biological synapses and neurons by maintaining a direct...

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Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  1. 1.University of HeidelbergHeidelbergGermany