Supervised training of spiking neural networks for robust deployment on
mixed-signal neuromorphic processors

Supervised training of spiking neural networks for robust deployment on mixed-signal neuromorphic processors

12 February 2021

Giacomo Indiveri

Papers citing "Supervised training of spiking neural networks for robust deployment on mixed-signal neuromorphic processors"

16 / 16 papers shown

Title
Distributed Representations Enable Robust Multi-Timescale Symbolic Computation in Neuromorphic Hardware Madison Cotteret Hugh Greatorex Alpha Renner Junren Chen Emre Neftci Huaqiang Wu Giacomo Indiveri Martin Ziegler Elisabetta Chicca 91 2 0 02 May 2024
Implementing efficient balanced networks with mixed-signal spike-based learning circuits Julian Büchel Jonathan Kakon Michel Perez Giacomo Indiveri 23 2 0 27 Oct 2020
Event-Based Backpropagation can compute Exact Gradients for Spiking Neural Networks Timo C. Wunderlich Christian Pehle 73 119 0 17 Sep 2020
Weight Agnostic Neural Networks Adam Gaier David R Ha OOD 60 242 0 11 Jun 2019
A Review of Deep Learning with Special Emphasis on Architectures, Applications and Recent Trends Saptarshi Sengupta Sanchita Basak P. Saikia Sayak Paul Vasilios Tsalavoutis Frederick Ditliac Atiah V. Ravi R. Peters AI4CE 77 343 0 30 May 2019
The importance of space and time in neuromorphic cognitive agents Giacomo Indiveri Yulia Sandamirskaya AI4CE 54 47 0 26 Feb 2019
Surrogate Gradient Learning in Spiking Neural Networks Emre Neftci Hesham Mostafa Friedemann Zenke 87 1,237 0 28 Jan 2019
Efficient keyword spotting using dilated convolutions and gating A. Coucke M. Chlieh Thibault Gisselbrecht David Leroy Mathieu Poumeyrol Thibaut Lavril 60 99 0 19 Nov 2018
Demonstrating Advantages of Neuromorphic Computation: A Pilot Study Youjie Li Akos F. Kungl Eric Müller Andreas Hartel Yannik Stradmann ... Gerd Kiene Christian Mauch Alex Schwing K. Meier Mihai A. Petrovici 46 119 0 08 Nov 2018
A scalable multi-core architecture with heterogeneous memory structures for Dynamic Neuromorphic Asynchronous Processors (DYNAPs) S. Moradi Ning Qiao F. Stefanini Giacomo Indiveri 65 482 0 14 Aug 2017
Methods for Interpreting and Understanding Deep Neural Networks G. Montavon Wojciech Samek K. Müller FaML 285 2,264 0 24 Jun 2017
Predicting non-linear dynamics by stable local learning in a recurrent spiking neural network Aditya Gilra W. Gerstner 42 80 0 21 Feb 2017
Neuromorphic Deep Learning Machines Emre Neftci C. Augustine Somnath Paul Georgios Detorakis BDL 157 259 0 16 Dec 2016
Training Deep Spiking Neural Networks using Backpropagation Junhaeng Lee T. Delbruck Michael Pfeiffer 90 945 0 31 Aug 2016
EIE: Efficient Inference Engine on Compressed Deep Neural Network Song Han Xingyu Liu Huizi Mao Jing Pu A. Pedram M. Horowitz W. Dally 118 2,456 0 04 Feb 2016
A Simple Way to Initialize Recurrent Networks of Rectified Linear Units Quoc V. Le Navdeep Jaitly Geoffrey E. Hinton ODL 86 719 0 03 Apr 2015