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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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06/29/2021
Spiking-GAN: A Spiking Generative Adversarial Network Using Time-To-First-Spike Coding
Spiking Neural Networks (SNNs) have shown great potential in solving dee...
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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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03/09/2020
Software-Level Accuracy Using Stochastic Computing With Charge-Trap-Flash Based Weight Matrix
The in-memory computing paradigm with emerging memory devices has been r...
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02/26/2019
Band-to-Band Tunneling based Ultra-Energy Efficient Silicon Neuron
The human brain comprises about a hundred billion neurons connected thro...
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01/18/2019
Predicting Performance using Approximate State Space Model for Liquid State Machines
Liquid State Machine (LSM) is a brain-inspired architecture used for sol...
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03/13/2018
A case for multiple and parallel RRAMs as synaptic model for training SNNs
To enable a dense integration of model synapses in a spiking neural netw...
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09/08/2017
An On-chip Trainable and Clock-less Spiking Neural Network with 1R Memristive Synapses
Spiking neural networks (SNNs) are being explored in an attempt to mimic...
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04/06/2017
A Software-equivalent SNN Hardware using RRAM-array for Asynchronous Real-time Learning
Spiking Neural Network (SNN) naturally inspires hardware implementation ...
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12/07/2016
