3 papers
cs.NE2026
On the Role of Preprocessing and Memristor Dynamics in Reservoir Computing for Image Classification
Rishona Daniels, Duna Wattad, Ronny Ronen +2
Reservoir computing (RC) is an emerging recurrent neural network architecture that has attracted growing attention for its low training cost and modest hardware requirements. Memri…
cs.NE2025
Preprocessing Methods for Memristive Reservoir Computing for Image Recognition
Rishona Daniels, Duna Wattad, Ronny Ronen +2
Reservoir computing (RC) has attracted attention as an efficient recurrent neural network architecture due to its simplified training, requiring only its last perceptron readout la…
physics.optics2025
Optical neuromorphic computing via temporal up-sampling and trainable encoding on a telecom device platform
Egor Manuylovich, Dmitrii Stoliarov, David Saad +1
Mapping input signals to a high-dimensional space is a critical concept in various neuromorphic computing paradigms, including models such as Reservoir Computing (RC) and Extreme L…