57 citations · 183 across the 33 of their papers we have counts for
7 papers · 1 filter
Stochasticity Invariance Control in PrCaMnO RRAM to enable Large-Scale Stochastic Recurrent Neural Networks
Vivek Saraswat, Udayan Ganguly
Emerging non-volatile memories have been proposed for a wide range of applications from easing the von-Neumann bottleneck to neuromorphic applications. Specifically, scalable RRAMs…
An Accurate Process Induced Variability Aware Compact Model-based Circuit Performance Estimation for Design-Technology Co-optimization
Shubham Patil, Amita Rawat, Udayan Ganguly
In sub-10nm FinFETs, Line-edge-roughness (LER) and metal-gate granularity (MGG) are the two most dominant sources of variability and are mostly modeled semi-empirically. In this wo…
Exploiting the Electrothermal Timescale in PrMnO3 RRAM for a compact, clock-less neuron exhibiting biological spiking patterns
Omkar Phadke, Jayatika Sakhuja, Vivek Saraswat +1
Spiking Neural Networks (SNNs) are gaining widespread momentum in the field of neuromorphic computing. These network systems integrated with neurons and synapses provide computatio…
Algorithm For 3D-Chemotaxis Using Spiking Neural Network
Jayesh Choudhary, Vivek Saraswat, Udayan Ganguly
In this work, we aim to devise an end-to-end spiking implementation for contour tracking in 3D media inspired by chemotaxis, where the worm reaches the region which has the given s…
Spiking-GAN: A Spiking Generative Adversarial Network Using Time-To-First-Spike Coding
Vineet Kotariya, Udayan Ganguly
Spiking Neural Networks (SNNs) have shown great potential in solving deep learning problems in an energy-efficient manner. However, they are still limited to simple classification…
Simplified Klinokinesis using Spiking Neural Networks for Resource-Constrained Navigation on the Neuromorphic Processor Loihi
Apoorv Kishore, Vivek Saraswat, Udayan Ganguly
C. elegans shows chemotaxis using klinokinesis where the worm senses the concentration based on a single concentration sensor to compute the concentration gradient to perform forag…
Hardware-Friendly Synaptic Orders and Timescales in Liquid State Machines for Speech Classification
Vivek Saraswat, Ajinkya Gorad, Anand Naik +2
Liquid State Machines are brain inspired spiking neural networks (SNNs) with random reservoir connectivity and bio-mimetic neuronal and synaptic models. Reservoir computing network…