A Learning-Enabled Neuron Array IC Based Upon Transistor Channel Models of Biological Phenomena

作者：Brink Stephen^*; Nease Stephen; Hasler Paul; Ramakrishnan Shubha; Wunderlich Richard; Basu Arindam; Degnan Brian

来源：IEEE Transactions on Biomedical Circuits and Systems, 2013, 7(1): 71-81.

DOI：10.1109/TBCAS.2012.2197858

• Electrical implementation of neurobiology
• neuromorphic engineering

We present a single-chip array of 100 biologically-based electronic neuron models interconnected to each other and the outside environment through 30,000 synapses. The chip was fabricated in a standard 350 nm CMOS IC process. Our approach used dense circuit models of synaptic behavior, including biological computation and learning, as well as transistor channel models. We use Address-Event Representation (AER) spike communication for inputs and outputs to this IC. We present the IC architecture and infrastructure, including IC chip, configuration tools, and testing platform. We present measurement of small network of neurons, measurement of STDP neuron dynamics, and measurement from a compiled spiking neuron WTA topology, all compiled into this IC.

• 出版日期2013-2