Design Technology Co-Optimization for Neuromorphic Computing

15 October 2021

Papers citing "Design Technology Co-Optimization for Neuromorphic Computing"

7 / 7 papers shown

Title
Learning in Feedback-driven Recurrent Spiking Neural Networks using full-FORCE Training A. Paul Stefan Sylvius Wagner Anup Das 20 7 0 26 May 2022
Design-Technology Co-Optimization for NVM-based Neuromorphic Processing Elements Shihao Song Adarsha Balaji Anup Das Nagarajan Kandasamy 11 14 0 10 Mar 2022
Implementing Spiking Neural Networks on Neuromorphic Architectures: A Review Phu Khanh Huynh M. L. Varshika A. Paul Murat Isik Adarsha Balaji Anup Das 15 36 0 17 Feb 2022
On the Mitigation of Read Disturbances in Neuromorphic Inference Hardware A. Paul Shihao Song Twisha Titirsha Anup Das 17 5 0 27 Jan 2022
Design of Many-Core Big Little μBrain for Energy-Efficient Embedded Neuromorphic Computing M. L. Varshika Adarsha Balaji Federico Corradi Anup Das J. Stuijt F. Catthoor 14 17 0 23 Nov 2021
PyCARL: A PyNN Interface for Hardware-Software Co-Simulation of Spiking Neural Network Adarsha Balaji Prathyusha Adiraju H. Kashyap Anup Das J. Krichmar N. Dutt F. Catthoor 33 43 0 21 Mar 2020
Mapping Spiking Neural Networks to Neuromorphic Hardware Adarsha Balaji Anup Das Yuefeng Wu Khanh Huynh Francesco DellÁnna Giacomo Indiveri J. Krichmar N. Dutt S. Schaafsma F. Catthoor 23 112 0 04 Sep 2019