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. 1612.05596
  4. Cited By
Neuromorphic Deep Learning Machines

Neuromorphic Deep Learning Machines

16 December 2016
Emre Neftci
C. Augustine
Somnath Paul
Georgios Detorakis
    BDL
ArXivPDFHTML

Papers citing "Neuromorphic Deep Learning Machines"

10 / 10 papers shown
Title
Paired Competing Neurons Improving STDP Supervised Local Learning In
  Spiking Neural Networks
Paired Competing Neurons Improving STDP Supervised Local Learning In Spiking Neural Networks
Gaspard Goupy
Pierre Tirilly
Ioan Marius Bilasco
12
3
0
04 Aug 2023
Sparse-firing regularization methods for spiking neural networks with
  time-to-first spike coding
Sparse-firing regularization methods for spiking neural networks with time-to-first spike coding
Yusuke Sakemi
Kakei Yamamoto
T. Hosomi
Kazuyuki Aihara
35
7
0
24 Jul 2023
Including STDP to eligibility propagation in multi-layer recurrent
  spiking neural networks
Including STDP to eligibility propagation in multi-layer recurrent spiking neural networks
Werner van der Veen
10
1
0
05 Jan 2022
Visual Sensation and Perception Computational Models for Deep Learning:
  State of the art, Challenges and Prospects
Visual Sensation and Perception Computational Models for Deep Learning: State of the art, Challenges and Prospects
Bing Wei
Yudi Zhao
K. Hao
Lei Gao
25
5
0
08 Sep 2021
Temporal Coding in Spiking Neural Networks with Alpha Synaptic Function:
  Learning with Backpropagation
Temporal Coding in Spiking Neural Networks with Alpha Synaptic Function: Learning with Backpropagation
Iulia Comsa
Krzysztof Potempa
Luca Versari
T. Fischbacher
Andrea Gesmundo
J. Alakuijala
15
173
0
30 Jul 2019
Design of Artificial Intelligence Agents for Games using Deep
  Reinforcement Learning
Design of Artificial Intelligence Agents for Games using Deep Reinforcement Learning
A. Roibu
12
1
0
10 May 2019
Error Forward-Propagation: Reusing Feedforward Connections to Propagate
  Errors in Deep Learning
Error Forward-Propagation: Reusing Feedforward Connections to Propagate Errors in Deep Learning
Adam A. Kohan
E. Rietman
H. Siegelmann
27
23
0
09 Aug 2018
Neural and Synaptic Array Transceiver: A Brain-Inspired Computing
  Framework for Embedded Learning
Neural and Synaptic Array Transceiver: A Brain-Inspired Computing Framework for Embedded Learning
Georgios Detorakis
Sadique Sheik
C. Augustine
Somnath Paul
Bruno U. Pedroni
N. Dutt
J. Krichmar
Gert Cauwenberghs
Emre Neftci
24
29
0
29 Sep 2017
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
245
9,042
0
06 Jun 2015
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
237
7,597
0
03 Jul 2012
1