2 citations · 2 across the 3 of their papers we have counts for
3 papers
Temporal and Spatial Reservoir Ensembling Techniques for Liquid State Machines
Anmol Biswas, Sharvari Ashok Medhe, Raghav Singhal +1
Reservoir computing (RC), is a class of computational methods such as Echo State Networks (ESN) and Liquid State Machines (LSM) describe a generic method to perform pattern recogni…
Schottky Barrier MOSFET Enabled Ultra-Low Power Real-Time Neuron for Neuromorphic Computing
Shubham Patil, Jayatika Sakhuja, Ajay Kumar Singh +5
Energy-efficient real-time synapses and neurons are essential to enable large-scale neuromorphic computing. In this paper, we propose and demonstrate the Schottky-Barrier MOSFET-ba…
A simple and efficient SNN and its performance & robustness evaluation method to enable hardware implementation
Anmol Biswas, Sidharth Prasad, Sandip Lashkare +1
Spiking Neural Networks (SNN) are more closely related to brain-like computation and inspire hardware implementation. This is enabled by small networks that give high performance o…