ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2103.12593
  4. Cited By
Accurate and efficient time-domain classification with adaptive spiking
  recurrent neural networks

Accurate and efficient time-domain classification with adaptive spiking recurrent neural networks

12 March 2021
Bojian Yin
Federico Corradi
S. Bohté
ArXivPDFHTML

Papers citing "Accurate and efficient time-domain classification with adaptive spiking recurrent neural networks"

7 / 107 papers shown
Title
Accurate online training of dynamical spiking neural networks through
  Forward Propagation Through Time
Accurate online training of dynamical spiking neural networks through Forward Propagation Through Time
Bojian Yin
Federico Corradi
S. Bohté
38
61
0
20 Dec 2021
Efficient Neuromorphic Signal Processing with Loihi 2
Efficient Neuromorphic Signal Processing with Loihi 2
Garrick Orchard
E. P. Frady
D. B. Rubin
Sophia Sanborn
S. Shrestha
Friedrich T. Sommer
Mike Davies
19
166
0
05 Nov 2021
A New Look at Spike-Timing-Dependent Plasticity Networks for
  Spatio-Temporal Feature Learning
A New Look at Spike-Timing-Dependent Plasticity Networks for Spatio-Temporal Feature Learning
A. Safa
I. Ocket
A. Bourdoux
Hichem Sahli
F. Catthoor
Georges G. E. Gielen
16
8
0
01 Nov 2021
Spike-inspired Rank Coding for Fast and Accurate Recurrent Neural
  Networks
Spike-inspired Rank Coding for Fast and Accurate Recurrent Neural Networks
Alan Jeffares
Qinghai Guo
Pontus Stenetorp
Timoleon Moraitis
36
16
0
06 Oct 2021
Self-Supervised Learning of Event-Based Optical Flow with Spiking Neural
  Networks
Self-Supervised Learning of Event-Based Optical Flow with Spiking Neural Networks
J. Hagenaars
Federico Paredes-Valles
Guido de Croon
16
133
0
03 Jun 2021
Surrogate gradients for analog neuromorphic computing
Surrogate gradients for analog neuromorphic computing
Benjamin Cramer
Sebastian Billaudelle
Simeon Kanya
Aron Leibfried
Andreas Grubl
...
Korbinian Schreiber
Yannik Stradmann
Johannes Weis
Johannes Schemmel
Friedemann Zenke
24
106
0
12 Jun 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
119
481
0
26 Mar 2018
Previous
123