Scott T. Keene
Electrical and Electronic Engineering · 2017–2021
A researcher in the Science corpus: 5 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Electrical and Electronic Engineering — 66 citations into it
- Cellular and Molecular Neuroscience — 39 citations into it
Whom Scott T. Keene trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Scott T. Keene's perspective
Ordered by how strongly the researchers Scott T. Keene trusts endorse each paper. Same corpus, a different order for every researcher.
- A Fast Learning Algorithm for Deep Belief Nets
- Deep Learning
- Learning representations by back-propagating errors
- Neuromorphic Silicon Neuron Circuits
- A million spiking-neuron integrated circuit with a scalable communication network and interface
- The missing memristor found (Nature)
- An Organic Nanoparticle Transistor Behaving as a Biological Spiking Synapse
- Synaptic computation
- Nanoscale memristor device as synapse in neuromorphic systems.
- Phase change memory technology
Their papers
- Parallel programming of an ionic floating-gate memory array for scalable neuromorphic computing (2019) — 637 citations
- 2022 roadmap on neuromorphic computing and engineering (2021) — 589 citations
- Molecularly selective nanoporous membrane-based wearable organic electrochemical device for noninvasive cortisol sensing (2018) — 501 citations
- Organic electronics for neuromorphic computing (2018) — 941 citations
- A non-volatile organic electrochemical device as a low-voltage artificial synapse for neuromorphic computing. (2017) — 1,558 citations