Ammar Belatreche
Cognitive Neuroscience · 2005–2019
A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 39 citations into it
- Electrical and Electronic Engineering — 34 citations into it
- Artificial Intelligence — 12 citations into it
Whom Ammar Belatreche trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Eugene M. Izhikevich
- D. Feldman
- Friedemann Zenke
- Michael Pfeiffer
- Wulfram Gerstner
- Sander M. Bohte
- Emre O. Neftci
Papers from Ammar Belatreche's perspective
Ordered by how strongly the researchers Ammar Belatreche trusts endorse each paper. Same corpus, a different order for every researcher.
- SPIKING NEURON MODELS Single Neurons , Populations , Plasticity
- Gradient-based learning applied to document recognition
- Long short-term memory and Learning-to-learn in networks of spiking neurons (Neural Information Processing Systems)
- Error-backpropagation in temporally encoded networks of spiking neurons
- Fast-classifying, high-accuracy spiking deep networks through weight and threshold balancing (IEEE International Joint Conference on Neural Network)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Simple model of spiking neurons
- ImageNet classification with deep convolutional neural networks
- The spike timing dependence of plasticity
Their papers
- A review of learning in biologically plausible spiking neural networks (2019) — 384 citations
- A Novel Approach for the Implementation of Large Scale Spiking Neural Networks on FPGA Hardware (2005) — 70 citations