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  4. Cited By
Fast and Efficient Asynchronous Neural Computation with Adapting Spiking
  Neural Networks

Fast and Efficient Asynchronous Neural Computation with Adapting Spiking Neural Networks

7 September 2016
Davide Zambrano
S. Bohté
ArXiv (abs)PDFHTML

Papers citing "Fast and Efficient Asynchronous Neural Computation with Adapting Spiking Neural Networks"

15 / 15 papers shown
Direct Learning-Based Deep Spiking Neural Networks: A Review
Direct Learning-Based Deep Spiking Neural Networks: A ReviewFrontiers in Neuroscience (Front. Neurosci.), 2023
Yu-Zhu Guo
Xuhui Huang
Zhe Ma
AI4CE
515
83
0
31 May 2023
Text Classification in Memristor-based Spiking Neural Networks
Text Classification in Memristor-based Spiking Neural Networks
Jinqi Huang
A. Serb
S. Stathopoulos
T. Prodromakis
214
22
0
27 Jul 2022
Skip-Convolutions for Efficient Video Processing
Skip-Convolutions for Efficient Video ProcessingComputer Vision and Pattern Recognition (CVPR), 2021
A. Habibian
Davide Abati
Taco S. Cohen
B. Bejnordi
227
55
0
23 Apr 2021
Neuromorphic Processing and Sensing: Evolutionary Progression of AI to
  Spiking
Neuromorphic Processing and Sensing: Evolutionary Progression of AI to Spiking
Philippe Reiter
G. R. Jose
Spyridon Bizmpikis
Ionela-Ancuta Cîrjila
197
1
0
10 Jul 2020
Ultra-Low-Power FDSOI Neural Circuits for Extreme-Edge Neuromorphic
  Intelligence
Ultra-Low-Power FDSOI Neural Circuits for Extreme-Edge Neuromorphic Intelligence
Arianna Rubino
Can Livanelioglu
Ning Qiao
Melika Payvand
Giacomo Indiveri
286
82
0
25 Jun 2020
Effective and Efficient Computation with Multiple-timescale Spiking
  Recurrent Neural Networks
Effective and Efficient Computation with Multiple-timescale Spiking Recurrent Neural Networks
Bojian Yin
Federico Corradi
Sander M. Bohté
410
133
0
24 May 2020
An Efficient Spiking Neural Network for Recognizing Gestures with a DVS
  Camera on the Loihi Neuromorphic Processor
An Efficient Spiking Neural Network for Recognizing Gestures with a DVS Camera on the Loihi Neuromorphic Processor
Riccardo Massa
Alberto Marchisio
Maurizio Martina
Mohamed Bennai
187
108
0
16 May 2020
Spiking Neural Networks Hardware Implementations and Challenges: a
  Survey
Spiking Neural Networks Hardware Implementations and Challenges: a SurveyACM Journal on Emerging Technologies in Computing Systems (JETC), 2019
Maxence Bouvier
A. Valentian
T. Mesquida
F. Rummens
M. Reyboz
Elisa Vianello
E. Beigné
304
137
0
04 May 2020
Boosting Throughput and Efficiency of Hardware Spiking Neural
  Accelerators using Time Compression Supporting Multiple Spike Codes
Boosting Throughput and Efficiency of Hardware Spiking Neural Accelerators using Time Compression Supporting Multiple Spike CodesFrontiers in Neuroscience (Front. Neurosci.), 2019
Changqin Xu
Wenrui Zhang
Yu Liu
Peng Li
155
17
0
10 Sep 2019
Closing the Accuracy Gap in an Event-Based Visual Recognition Task
Closing the Accuracy Gap in an Event-Based Visual Recognition Task
Bodo Rückauer
Nicolas Känzig
Shih-Chii Liu
T. Delbruck
Yulia Sandamirskaya
219
22
0
06 May 2019
RRAM based neuromorphic algorithms
RRAM based neuromorphic algorithms
Roshan Gopalakrishnan
108
2
0
12 Jan 2019
Temporally Efficient Deep Learning with Spikes
Temporally Efficient Deep Learning with SpikesInternational Conference on Learning Representations (ICLR), 2017
Peter O'Connor
E. Gavves
Max Welling
182
28
0
13 Jun 2017
Theory and Tools for the Conversion of Analog to Spiking Convolutional
  Neural Networks
Theory and Tools for the Conversion of Analog to Spiking Convolutional Neural Networks
Bodo Rueckauer
Iulia-Alexandra Lungu
Yuhuang Hu
Michael Pfeiffer
195
135
0
13 Dec 2016
An Efficient Approach to Boosting Performance of Deep Spiking Network
  Training
An Efficient Approach to Boosting Performance of Deep Spiking Network Training
Seongsik Park
Sang-gil Lee
Hyunha Nam
Sungroh Yoon
179
2
0
08 Nov 2016
Sigma Delta Quantized Networks
Sigma Delta Quantized Networks
Peter O'Connor
Max Welling
338
55
0
07 Nov 2016
1
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