Timothée Masquelier

Ontology type: schema:Person     

Person Info





Publications in SciGraph latest 50 shown

  • 2021-11-10 BS4NN: Binarized Spiking Neural Networks with Temporal Coding and Learning in NEURAL PROCESSING LETTERS
  • 2020-04-30 Epileptic Seizure Detection Using a Neuromorphic-Compatible Deep Spiking Neural Network in BIOINFORMATICS AND BIOMEDICAL ENGINEERING
  • 2019-11-08 Spike-Timing-Dependent-Plasticity with Memristors in HANDBOOK OF MEMRISTOR NETWORKS
  • 2017-08-18 26th Annual Computational Neuroscience Meeting (CNS*2017): Part 1 in BMC NEUROSCIENCE
  • 2017-08-18 26th Annual Computational Neuroscience Meeting (CNS*2017): Part 2 in BMC NEUROSCIENCE
  • 2016-09-07 Deep Networks Can Resemble Human Feed-forward Vision in Invariant Object Recognition in SCIENTIFIC REPORTS
  • 2016-04-11 Microsaccades enable efficient synchrony-based coding in the retina: a simulation study in SCIENTIFIC REPORTS
  • 2014-07-21 Microsaccades enable efficient synchrony-based visual feature learning and detection in BMC NEUROSCIENCE
  • 2014-07-21 Rapid neural coding in the mouse retina with the first wave of spikes in BMC NEUROSCIENCE
  • 2014 Spike-Timing-Dependent-Plasticity with Memristors in MEMRISTOR NETWORKS
  • 2013-07-08 Optimal spike pattern v.s. noise separation by neurons equipped with STDP in BMC NEUROSCIENCE
  • 2011-09-21 Relative spike time coding and STDP-based orientation selectivity in the early visual system in natural continuous and saccadic vision: a computational model in JOURNAL OF COMPUTATIONAL NEUROSCIENCE
  • 2009-07-13 Pattern learning using spike-timing-dependent plasticity: a theoretical approach in BMC NEUROSCIENCE
  • JSON-LD is the canonical representation for SciGraph data.

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    Download the RDF metadata as:  json-ld nt turtle xml License info


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    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/person.01271016666.11'

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    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/person.01271016666.11'


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