Journal of Software Engineering and Applications

Journal of Software Engineering and Applications

ISSN Print: 1945-3116
ISSN Online: 1945-3124
www.scirp.org/journal/jsea
E-mail: jsea@scirp.org
"Concept Learning in Neuromorphic Vision Systems: What Can We Learn from Insects?"
written by Fredrik Sandin, Asad I. Khan, Adrian G. Dyer, Anang Hudaya M. Amin, Giacomo Indiveri, Elisabetta Chicca, Evgeny Osipov,
published by Journal of Software Engineering and Applications, Vol.7 No.5, 2014
has been cited by the following article(s):
  • Google Scholar
  • CrossRef
[1] Numerosity Categorization by Parity in an Insect and Simple Neural Network
Weber… - Frontiers in Ecology …, 2022
[2] Bottom-Up and Top-Down Neural Processing Systems Design: Neuromorphic Intelligence as the Convergence of Natural and Artificial Intelligence
2021
[3] Area-and Energy-Efficient STDP Learning Algorithm for Spiking Neural Network SoC
2020
[4] A neuromorphic-hardware oriented bio-plausible online-learning spiking neural network model
2019
[5] A 0.086-mm 9.8-pJ/SOP 64k-Synapse 256-Neuron Online-Learning Digital Spiking Neuromorphic Processor in 28nm CMOS
2018
[6] A 0.086-mm12.7-pJ/SOP 64k-Synapse 256-Neuron Online-Learning Digital Spiking Neuromorphic Processor in 28nm CMOS
2018
[7] A compact phenomenological digital neuron implementing the 20 Izhikevich behaviors
2017
[8] A fully-synthesized 20-gate digital spike-based synapse with embedded online learning
2017
[9] Оценка сходства векторов по их рандомизированным бинарным проекциям
2015
[10] Imitation of honey bees' concept learning processes using Vector Symbolic Architectures
Biologically Inspired Cognitive Architectures, 2015
[11] Estimation of Vectors Similarity by Their Randomized Binary Projections
Cybernetics and Systems Analysis, 2015
[12] Intelligent Industrial Processes & Enabling ICT–A Machine Learning and Intelligence Perspective
Thesis, 2014
[13] The efficiency of the RULES-4 classification learning algorithm in predicting the density of agents
Cogent Engineering, 2014
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