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Bio-inspired Unsupervised Learning of Visual Features Leads to Robust
  Invariant Object Recognition

Bio-inspired Unsupervised Learning of Visual Features Leads to Robust Invariant Object Recognition

15 April 2015
Saeed Reza Kheradpisheh
M. Ganjtabesh
T. Masquelier
    OOD
ArXivPDFHTML

Papers citing "Bio-inspired Unsupervised Learning of Visual Features Leads to Robust Invariant Object Recognition"

16 / 16 papers shown
Title
Learning the Plasticity: Plasticity-Driven Learning Framework in Spiking
  Neural Networks
Learning the Plasticity: Plasticity-Driven Learning Framework in Spiking Neural Networks
Guobin Shen
Dongcheng Zhao
Yiting Dong
Yang Li
Feifei Zhao
Yi Zeng
AI4CE
25
0
0
23 Aug 2023
Backpropagation with Biologically Plausible Spatio-Temporal Adjustment
  For Training Deep Spiking Neural Networks
Backpropagation with Biologically Plausible Spatio-Temporal Adjustment For Training Deep Spiking Neural Networks
Guobin Shen
Dongcheng Zhao
Yi Zeng
41
54
0
17 Oct 2021
BioLCNet: Reward-modulated Locally Connected Spiking Neural Networks
BioLCNet: Reward-modulated Locally Connected Spiking Neural Networks
Hafez Ghaemi
Erfan Mirzaei
Mahbod Nouri
Saeed Reza Kheradpisheh
26
2
0
12 Sep 2021
Spike time displacement based error backpropagation in convolutional
  spiking neural networks
Spike time displacement based error backpropagation in convolutional spiking neural networks
M. Mirsadeghi
Majid Shalchian
Saeed Reza Kheradpisheh
T. Masquelier
17
15
0
31 Aug 2021
A Microarchitecture Implementation Framework for Online Learning with
  Temporal Neural Networks
A Microarchitecture Implementation Framework for Online Learning with Temporal Neural Networks
Harideep Nair
J. Shen
James E. Smith
35
8
0
27 May 2021
Spiking Neural Networks Hardware Implementations and Challenges: a
  Survey
Spiking Neural Networks Hardware Implementations and Challenges: a Survey
Maxence Bouvier
A. Valentian
T. Mesquida
F. Rummens
M. Reyboz
Elisa Vianello
E. Beigné
58
113
0
04 May 2020
A Deep Unsupervised Feature Learning Spiking Neural Network with
  Binarized Classification Layers for EMNIST Classification using SpykeFlow
A Deep Unsupervised Feature Learning Spiking Neural Network with Binarized Classification Layers for EMNIST Classification using SpykeFlow
Ruthvik Vaila
John N. Chiasson
V. Saxena
28
22
0
26 Feb 2020
S4NN: temporal backpropagation for spiking neural networks with one
  spike per neuron
S4NN: temporal backpropagation for spiking neural networks with one spike per neuron
Saeed Reza Kheradpisheh
T. Masquelier
27
187
0
21 Oct 2019
SpykeTorch: Efficient Simulation of Convolutional Spiking Neural
  Networks with at most one Spike per Neuron
SpykeTorch: Efficient Simulation of Convolutional Spiking Neural Networks with at most one Spike per Neuron
Milad Mozafari
M. Ganjtabesh
A. Nowzari-Dalini
T. Masquelier
38
98
0
06 Mar 2019
Unsupervised Visual Feature Learning with Spike-timing-dependent
  Plasticity: How Far are we from Traditional Feature Learning Approaches?
Unsupervised Visual Feature Learning with Spike-timing-dependent Plasticity: How Far are we from Traditional Feature Learning Approaches?
Pierre Falez
Pierre Tirilly
Ioan Marius Bilasco
P. Devienne
Pierre Boulet
SSL
29
32
0
14 Jan 2019
A temporal neural network model for object recognition using a
  biologically plausible decision making layer
A temporal neural network model for object recognition using a biologically plausible decision making layer
Hamed Heidari Gorji
Sajjad Zabbah
R. Ebrahimpour
8
4
0
25 Jun 2018
Deep Learning in Spiking Neural Networks
Deep Learning in Spiking Neural Networks
A. Tavanaei
M. Ghodrati
Saeed Reza Kheradpisheh
T. Masquelier
Anthony Maida
12
1,059
0
22 Apr 2018
Optimal localist and distributed coding of spatiotemporal spike patterns
  through STDP and coincidence detection
Optimal localist and distributed coding of spatiotemporal spike patterns through STDP and coincidence detection
T. Masquelier
Saeed Reza Kheradpisheh
11
15
0
01 Mar 2018
Bio-Inspired Spiking Convolutional Neural Network using Layer-wise
  Sparse Coding and STDP Learning
Bio-Inspired Spiking Convolutional Neural Network using Layer-wise Sparse Coding and STDP Learning
A. Tavanaei
Anthony Maida
19
69
0
09 Nov 2016
Humans and deep networks largely agree on which kinds of variation make
  object recognition harder
Humans and deep networks largely agree on which kinds of variation make object recognition harder
Saeed Reza Kheradpisheh
M. Ghodrati
M. Ganjtabesh
T. Masquelier
OOD
35
34
0
21 Apr 2016
Deep Networks Can Resemble Human Feed-forward Vision in Invariant Object
  Recognition
Deep Networks Can Resemble Human Feed-forward Vision in Invariant Object Recognition
Saeed Reza Kheradpisheh
M. Ghodrati
M. Ganjtabesh
T. Masquelier
33
176
0
17 Aug 2015
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