Design of silicon brains in the nano-CMOS era: Spiking neurons, learning synapses and neural architecture optimization

作者：Cassidy Andrew S; Georgiou Julius; Andreou Andreas G^*

来源：Neural Networks, 2013, 45: 4-26.

DOI：10.1016/j.neunet.2013.05.011

• Silicon brains
• Neuromorphic engineering
• Silicon neurons
• Learning in silicon
• FPGA neural arrays

We present a design framework for neuromorphic architectures in the nano-CMOS era. Our approach to the design of spiking neurons and STDP learning circuits relies on parallel computational structures where neurons are abstracted as digital arithmetic logic units and communication processors. Using this approach, we have developed arrays of silicon neurons that scale to millions of neurons in a single state-of-the-art Field Programmable Gate Array (FPGA). We demonstrate the validity of the design methodology through the implementation of cortical development in a circuit of spiking neurons, STDP synapses, and neural architecture optimization.

• 出版日期2013-9