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07/12/2023
Non-Ideal Program-Time Conservation in Charge Trap Flash for Deep Learning
Training deep neural networks (DNNs) is computationally intensive but ar...
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07/20/2022
A Temporally and Spatially Local Spike-based Backpropagation Algorithm to Enable Training in Hardware
Spiking Neural Networks (SNNs) have emerged as a hardware efficient arch...
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06/30/2021
Algorithm For 3D-Chemotaxis Using Spiking Neural Network
In this work, we aim to devise an end-to-end spiking implementation for ...
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05/04/2021
Simplified Klinokinesis using Spiking Neural Networks for Resource-Constrained Navigation on the Neuromorphic Processor Loihi
C. elegans shows chemotaxis using klinokinesis where the worm senses the...
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08/01/2020
Adaptive Chemotaxis for improved Contour Tracking using Spiking Neural Networks
In this paper we present a Spiking Neural Network (SNN) for autonomous n...
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01/18/2019
