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DCT-SNN: Using DCT to Distribute Spatial Information over Time for
  Learning Low-Latency Spiking Neural Networks

DCT-SNN: Using DCT to Distribute Spatial Information over Time for Learning Low-Latency Spiking Neural Networks

5 October 2020
Isha Garg
Sayeed Shafayet Chowdhury
Kaushik Roy
ArXivPDFHTML

Papers citing "DCT-SNN: Using DCT to Distribute Spatial Information over Time for Learning Low-Latency Spiking Neural Networks"

5 / 5 papers shown
Title
Spiking Approximations of the MaxPooling Operation in Deep SNNs
Spiking Approximations of the MaxPooling Operation in Deep SNNs
Ramashish Gaurav
B. Tripp
Apurva Narayan
43
8
0
14 May 2022
Training Energy-Efficient Deep Spiking Neural Networks with Single-Spike
  Hybrid Input Encoding
Training Energy-Efficient Deep Spiking Neural Networks with Single-Spike Hybrid Input Encoding
Gourav Datta
Souvik Kundu
P. Beerel
48
27
0
26 Jul 2021
Spatio-Temporal Pruning and Quantization for Low-latency Spiking Neural
  Networks
Spatio-Temporal Pruning and Quantization for Low-latency Spiking Neural Networks
Sayeed Shafayet Chowdhury
Isha Garg
Kaushik Roy
26
38
0
26 Apr 2021
Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike
  Timing Dependent Backpropagation
Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation
Nitin Rathi
G. Srinivasan
Priyadarshini Panda
Kaushik Roy
124
296
0
04 May 2020
Long short-term memory and learning-to-learn in networks of spiking
  neurons
Long short-term memory and learning-to-learn in networks of spiking neurons
G. Bellec
Darjan Salaj
Anand Subramoney
Robert Legenstein
Wolfgang Maass
121
483
0
26 Mar 2018
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