Mazdak Fatahi
Research Engineer
67%
Libre accès
3
Documents
Présentation
AboutAbout
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Member of the neuromorphic team at the University of Lille as an experienced engineer. Experienced in Spiking Neural Network modeling, simulation, and implementing the models on neuromorphic hardware: SpiNNaker and FPGA.
Also skilled in Microcontrollers, Embedded systems, IoT, remote monitoring and remote controlling applications.
Domaines de recherche
Compétences
Publications
Rate-coded DBN: An online strategy for spike-based deep belief networksBiologically Inspired Cognitive Architectures, 2018, 24, pp.59 - 69. ⟨10.1016/j.bica.2018.04.009⟩
Article dans une revue
hal-01808815v1
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evt_MNIST: A spike based version of traditional MNIST an event-based MNIST1st International Conference on New Research Achievements in Electrical and Computer Engineering, May 2016, Teheran, Iran
Communication dans un congrès
hal-01382631v1
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Towards an Spiking Deep Belief Network for Face Recognition Application6th International Conference on Computer and Knowledge Engineering (ICCKE 2016), Oct 2016, Mashhad Iran
Communication dans un congrès
hal-01382624v1
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