Fabio Stefanini
Electrical and Electronic Engineering · 2009–2017
A researcher in the Science corpus: 4 papers; trusts 27 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Electrical and Electronic Engineering — 64 citations into it; #15,278 of 16,539 by trust here, #11,977 by citations
- Cognitive Neuroscience — 52 citations into it; #10,188 of 10,852 by trust here, #7,860 by citations
- Cellular and Molecular Neuroscience — 38 citations into it
- Artificial Intelligence — 15 citations into it; #34,064 of 35,345 by trust here, #31,361 by citations
- Neuroscience — 12 citations into it
- Statistical and Nonlinear Physics — 8 citations into it
Whom Fabio Stefanini trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Giacomo Indiveri
- L. F. Abbott
- Walter Senn
- Chiara Bartolozzi
- Kwabena A. Boahen
- Stefano Fusi
- Shih-Chii Liu
- Elisabetta Chicca
- Joseph M. Brader
- John E. Lisman
Who trusts Fabio Stefanini overall
Papers from Fabio Stefanini's perspective
Ordered by how strongly the researchers Fabio Stefanini trusts endorse each paper. Same corpus, a different order for every researcher.
- Gradient-based learning applied to document recognition
- Synaptic plasticity: taming the beast
- Point-to-point connectivity between neuromorphic chips using address events
- Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems
- Deep Learning
- Simple model of spiking neurons
- Modeling Spiking Neural Networks on SpiNNaker
- Neuromorphic Silicon Neuron Circuits
- Real-Time Computing Without Stable States: A New Framework for Neural Computation Based on Perturbations
- Cascade models of synaptically stored memories.
Their papers
- A Scalable Multicore Architecture With Heterogeneous Memory Structures for Dynamic Neuromorphic Asynchronous Processors (DYNAPs) (2017) — 573 citations
- Neuromorphic Electronic Circuits for Building Autonomous Cognitive Systems (2014) — 487 citations
- A reconfigurable on-line learning spiking neuromorphic processor comprising 256 neurons and 128K synapses (2015) — 662 citations
- Scale-free correlations in starling flocks (2009) — 1,017 citations