Jean-Didier Legat
Electrical and Electronic Engineering · 2003–2018
A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Electrical and Electronic Engineering — 21 citations into it
- Cognitive Neuroscience — 13 citations into it
Whom Jean-Didier Legat trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Jean-Didier Legat's perspective
Ordered by how strongly the researchers Jean-Didier Legat trusts endorse each paper. Same corpus, a different order for every researcher.
- A million spiking-neuron integrated circuit with a scalable communication network and interface
- Simple model of spiking neurons
- The mnist database of handwritten digits
- Fast-classifying, high-accuracy spiking deep networks through weight and threshold balancing (IEEE International Joint Conference on Neural Network)
- Point-to-point connectivity between neuromorphic chips using address events
- A quantitative description of membrane current and its application to conduction and excitation in nerve
- Neurogrid: A Mixed-Analog-Digital Multichip System for Large-Scale Neural Simulations (Proceedings of the IEEE)
- 1.1 Computing's energy problem (and what we can do about it)
- Adaptive exponential integrate-and-fire model as an effective description of neuronal activity. (Journal of Neurophysiology)
- Binarized Neural Networks
Their papers
- A 0.086-mm$^2$ 12.7-pJ/SOP 64k-Synapse 256-Neuron Online-Learning Digital Spiking Neuromorphic Processor in 28-nm CMOS (2018) — 312 citations
- A survey on industrial vision systems, applications, tools (2003) — 847 citations