Daiju Nakano, Yasuteru Kohda, et al.
IEEE COOL CHIPS 2011
We present a framework of wave-based neuromorphic computing aiming at brain-like capabilities and efficiencies with nanoscale device integration. We take advantage of the unique nature of elastic nondissipative wave dynamics in both computations and IO communications in between as a means to natively implement and execute neuromorphic computing functions such as weighted sum in a spatiotemporal manner. Lower bound analysis based on a memory model and wave group velocity scaling is provided for conceptual evaluations.
Daiju Nakano, Yasuteru Kohda, et al.
IEEE COOL CHIPS 2011
Daiju Nakano, Yasuteru Kohda, et al.
WCNC 2014
Yasunao Katayama, Toshiyuki Yamane, et al.
WCNC 2012
Yasuteru Kohda, Kohji Takano, et al.
CCNC 2015