S. Furber
Electrical and Electronic Engineering · Proceedings of the IEEE · 2001–2021
A researcher in the Science corpus: 9 papers; trusts 17 researchers and is trusted by 14 researchers here, as inferred from the citation graph.
Subfields
- Electrical and Electronic Engineering — 33 citations into it; #2,017 of 16,539 by trust here, #3,664 by citations
- Artificial Intelligence — 25 citations into it
- Cognitive Neuroscience — 25 citations into it
- Cellular and Molecular Neuroscience — 18 citations into it; #965 of 2,998 by trust here, #1,050 by citations
- Neuroscience — 7 citations into it
Whom S. Furber trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Peter Sterling
- Johannes Schemmel
- Chris Eliasmith
- Eustace Painkras
- Eugene M. Izhikevich
- Luis A. Plana
- Simon J. Thorpe
- David Roland Lester
- J. Garside
- Steve Temple
Who trusts S. Furber overall
- Michael Pfeiffer
- Shimeng Yu
- Thomas Pfeil
- Sumit Bam Shrestha
- Garrick Orchard
- Nikola K. Kasabov
- Marcel Stimberg
- Catherine D. Schuman
- Guillaume Bellec
- Kashu Yamazaki
Papers from S. Furber's perspective
Ordered by how strongly the researchers S. Furber trusts endorse each paper. Same corpus, a different order for every researcher.
- Gradient-based learning applied to document recognition
- Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems
- Point-to-point connectivity between neuromorphic chips using address events
- Long Short-Term Memory
- Overview of the SpiNNaker System Architecture (IEEE transactions on computers)
- A wafer-scale neuromorphic hardware system for large-scale neural modeling (Proceedings of 2010 IEEE International Symposium on Circuits and Systems)
- Modeling Spiking Neural Networks on SpiNNaker
- Supplementary Materials for A Large-Scale Model of the Functioning Brain
- Neuromorphic Silicon Neuron Circuits
- A Quantitative Map of the Circuit of Cat Primary Visual Cortex (Journal of Neuroscience)
Their papers
- The SpiNNaker Project (2014) — 1,303 citations
- Modeling Spiking Neural Networks on SpiNNaker (2010) — 98 citations
- Overview of the SpiNNaker System Architecture (2013) — 650 citations
- SpiNNaker: A 1-W 18-Core System-on-Chip for Massively-Parallel Neural Network Simulation (2013) — 494 citations
- Large-scale neuromorphic computing systems (2016) — 545 citations
- SpiNNaker: Mapping neural networks onto a massively-parallel chip multiprocessor (2008) — 309 citations
- Principles of Asynchronous Circuit Design (2001) — 594 citations
- Memory-Efficient Deep Learning on a SpiNNaker 2 Prototype (2018) — 74 citations
- 2022 roadmap on neuromorphic computing and engineering (2021) — 589 citations