NengoDL: Combining deep learning and neuromorphic modelling methods

28 May 2018

Papers citing "NengoDL: Combining deep learning and neuromorphic modelling methods"

7 / 7 papers shown

Title
A differentiable brain simulator bridging brain simulation and brain-inspired computing Chaoming Wang Tianqiu Zhang Sichao He Hongyaoxing Gu Shangyang Li Si Wu 24 4 0 09 Nov 2023
Tricking AI chips into Simulating the Human Brain: A Detailed Performance Analysis Lennart P L Landsmeer Max C. W. Engelen Rene Miedema Christos Strydis 18 4 0 31 Jan 2023
Spiking Approximations of the MaxPooling Operation in Deep SNNs Ramashish Gaurav B. Tripp Apurva Narayan 38 8 0 14 May 2022
Exploring hyper-parameter spaces of neuroscience models on high performance computers with Learning to Learn Alper Yegenoglu Anand Subramoney T. Hater Cristian Jimenez-Romero W. Klijn Aarn Pérez Martín Michiel A. van der Vlag Michael Herty A. Morrison Sandra Díaz-Pier 27 7 0 28 Feb 2022
In-Hardware Learning of Multilayer Spiking Neural Networks on a Neuromorphic Processor Amar Shrestha Haowen Fang D. Rider Zaidao Mei Qinru Qiu 38 26 0 08 May 2021
Nengo and low-power AI hardware for robust, embedded neurorobotics Travis DeWolf P. Jaworski C. Eliasmith 14 67 0 20 Jul 2020
Benchmarking Keyword Spotting Efficiency on Neuromorphic Hardware Peter Blouw Xuan Choo Eric Hunsberger C. Eliasmith BDL 13 191 0 04 Dec 2018