Design of Many-Core Big Little μBrain for Energy-Efficient Embedded Neuromorphic Computing

23 November 2021

Papers citing "Design of Many-Core Big Little μBrain for Energy-Efficient Embedded 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 28 8 0 26 May 2022
Design-Technology Co-Optimization for NVM-based Neuromorphic Processing Elements Shihao Song Adarsha Balaji Anup Das Nagarajan Kandasamy 21 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 28 36 0 17 Feb 2022
On the Mitigation of Read Disturbances in Neuromorphic Inference Hardware A. Paul Shihao Song Twisha Titirsha Anup Das 25 5 0 27 Jan 2022
Design Technology Co-Optimization for Neuromorphic Computing Ankita Paul Shihao Song Anup Das 35 6 0 15 Oct 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 38 48 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 36 114 0 04 Sep 2019