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Silicon synapses self-correct for both mismatch and design inhomogeneities

Silicon synapses self-correct for both mismatch and design inhomogeneities

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A neuromorphic chip with an array of neurons has connections (‘synapses’) which implement a biological learning mechanism known as spike-timing-dependent plasticity. STDP is a homeostatic mechanism which regulates the firing rate of neurons. In this reported work, this mechanism is shown to reduce variation in performance between neurons, due to both mismatch in fabrication and inhomogeneities in the electronic design.

References

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      • Neftci, E., Indiveri, G.: `A device mismatch compensation method for VLSI neural networks', IEEE Biomedical Circuits and Systems Conf. (BIOCAS), 2010, Paphos, Cyprus.
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      • S. Song , K. Miller , L. Abbott . Competitive Hebbian learning through spike-timing-dependent synaptic plasticity. Nature , 919 - 926
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http://iet.metastore.ingenta.com/content/journals/10.1049/el.2012.0257
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