Classification of Correlated Patterns with a Configurable Analog VLSI Neural Network of Spiking Neurons and Self-Regulating Plastic Synapses

@article{Giulioni2009ClassificationOC,
  title={Classification of Correlated Patterns with a Configurable Analog VLSI Neural Network of Spiking Neurons and Self-Regulating Plastic Synapses},
  author={Massimiliano Giulioni and Mario Pannunzi and Davide Badoni and Vittorio Dante and Paolo Del Giudice},
  journal={Neural Computation},
  year={2009},
  volume={21},
  pages={3106-3129}
}
We describe the implementation and illustrate the learning performance of an analog VLSI network of 32 integrate-and-fire neurons with spike-frequency adaptation and 2016 Hebbian bistable spike-driven stochastic synapses, endowed with a self-regulating plasticity mechanism, which avoids unnecessary synaptic changes. The synaptic matrix can be flexibly configured and provides both recurrent and external connectivity with address-event representation compliant devices. We demonstrate a marked… CONTINUE READING
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