Nonlinear Cognitive Signal Processing in Ultralow-Power Programmable Analog Hardware

作者：Ghaderi Viviane S^*; Song Dong; Choma John Jr; Berger Theodore W

来源：IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2015, 62(2): 124-128.

DOI：10.1109/TCSII.2014.2387693

• Analog signal processing
• biomimetic
• Gm-C filters
• neuromorphic
• process and mismatch compensation
• programmable analog circuits
• subthreshold
• weak inversion

This brief presents a programmable ultralow-power analog neural signal processing system. The analog hardware implements a nonlinear model that can replicate and predict, in real time, the temporal neural codes used in complex brain functions. The transistors of the analog circuits operate in weak inversion. A digital control system is used to program model parameters and calibrate mismatches. The chip was implemented in a 130-nm complementary metal-oxide-semiconductor technology and occupies an area of 1 mm(2). The power consumption of the system is 120 nW. The modular design allows for easy scaling to achieve large-scale hardware systems that emulate spike transformations of populations of neurons.

• 出版日期2015-2