2 papers
cs.ET2024
NeoHebbian Synapses to Accelerate Online Training of Neuromorphic Hardware
Shubham Pande, Sai Sukruth Bezugam, Tinish Bhattacharya +4
Neuromorphic systems that employ advanced synaptic learning rules, such as the three-factor learning rule, require synaptic devices of increased complexity. Herein, a novel neoHebb…
cs.NE2024
Quantized Context Based LIF Neurons for Recurrent Spiking Neural Networks in 45nm
Sai Sukruth Bezugam, Yihao Wu, JaeBum Yoo +2
In this study, we propose the first hardware implementation of a context-based recurrent spiking neural network (RSNN) emphasizing on integrating dual information streams within th…