Training deep neural networks (DNNs) is computationally intensive but ar...
Spiking Neural Networks (SNNs) have emerged as a hardware efficient
arch...
In this work, we aim to devise an end-to-end spiking implementation for
...
C. elegans shows chemotaxis using klinokinesis where the worm senses the...
In this paper we present a Spiking Neural Network (SNN) for autonomous
n...
Liquid State Machine (LSM) is a brain-inspired architecture used for sol...