activity
20162023
most citedBand-to-Band Tunneling based Ultra-Energy Efficient Silicon Neuron

57 citations · 183 across the 33 of their papers we have counts for

collaborators
Showing 2020Show all

6 papers · 1 filter

eess.SY2020

India's Rise in Nanoelectronics Research

Udayan Ganguly, Sandip Lashkare, Swaroop Ganguly

Modern semiconductors innovation has a strong relation to scale and skill. While India has a significant demand for semiconductors, it has a daunting challenge to create a semicond…

q-bio.NC2020

Adaptive Chemotaxis for improved Contour Tracking using Spiking Neural Networks

Shashwat Shukla, Rohan Pathak, Vivek Saraswat +1

In this paper we present a Spiking Neural Network (SNN) for autonomous navigation, inspired by the chemotaxis network of the worm Caenorhabditis elegans. In particular, we focus on…

physics.app-ph2020★ 10 cited

Investigating Transient Characteristics of Volatile Hysteresis and Self-Heating of PrMnO based RRAM

J. Sakhuja, S. Lashkare, K. Jana +1

PrMnO (PMO) based RRAM shows selector-less behavior due to high-non-linearity. Recently, the non-linearity, along with volatile hysteresis, is demonstrated and utilized as a co…

physics.app-ph2020★ 16 cited

Reaction-Drift Model for Switching Transients in PrCaMnO-Based Resistive RAM

Vivek Saraswat, Shankar Prasad, Abhishek Khanna +5

PrCaMnO (PCMO) based RRAM shows promising memory properties like non-volatility, low variability, multiple resistance states and scalability. From a modeling pe…

physics.app-ph2020

Understanding the Location of Resistance Change in the Pr0.7Ca0.3MnO3 RRAM

Sandip Lashkare, Udayan Ganguly

Pr1-xCaxMnO3 (PCMO) based resistance random access memory (RRAM) is attractive in large scale memory and neuromorphic applications as it is non-filamentary, area scalable and has m…

cs.LG2020

Software-Level Accuracy Using Stochastic Computing With Charge-Trap-Flash Based Weight Matrix

Varun Bhatt, Shalini Shrivastava, Tanmay Chavan +1

The in-memory computing paradigm with emerging memory devices has been recently shown to be a promising way to accelerate deep learning. Resistive processing unit (RPU) has been pr…