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Hardware/Software co-design with ADC-Less In-memory Computing Hardware
  for Spiking Neural Networks

Hardware/Software co-design with ADC-Less In-memory Computing Hardware for Spiking Neural Networks

3 November 2022
M. Apolinario
Adarsh Kosta
Utkarsh Saxena
Kaushik Roy
ArXivPDFHTML

Papers citing "Hardware/Software co-design with ADC-Less In-memory Computing Hardware for Spiking Neural Networks"

5 / 5 papers shown
Title
S-TLLR: STDP-inspired Temporal Local Learning Rule for Spiking Neural
  Networks
S-TLLR: STDP-inspired Temporal Local Learning Rule for Spiking Neural Networks
M. Apolinario
Kaushik Roy
35
2
0
27 Jun 2023
Optical flow estimation from event-based cameras and spiking neural
  networks
Optical flow estimation from event-based cameras and spiking neural networks
Javier Cuadrado
Ulysse Rançon
Benoit R. Cottereau
Francisco Barranco
T. Masquelier
3DPC
22
37
0
13 Feb 2023
Neural-PIM: Efficient Processing-In-Memory with Neural Approximation of
  Peripherals
Neural-PIM: Efficient Processing-In-Memory with Neural Approximation of Peripherals
Weidong Cao
Yilong Zhao
Adith Boloor
Yinhe Han
Xuan Zhang
Li Jiang
10
17
0
30 Jan 2022
Deep Residual Learning in Spiking Neural Networks
Deep Residual Learning in Spiking Neural Networks
Wei Fang
Zhaofei Yu
Yanqing Chen
Tiejun Huang
T. Masquelier
Yonghong Tian
121
474
0
08 Feb 2021
Spike-FlowNet: Event-based Optical Flow Estimation with Energy-Efficient
  Hybrid Neural Networks
Spike-FlowNet: Event-based Optical Flow Estimation with Energy-Efficient Hybrid Neural Networks
Chankyu Lee
Adarsh Kosta
A. Z. Zhu
Kenneth Chaney
Kostas Daniilidis
Kaushik Roy
81
160
0
14 Mar 2020
1