Paul R. Prucnal
Electrical and Electronic Engineering · 2005–2020
A researcher in the Science corpus: 5 papers; trusts 5 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Electrical and Electronic Engineering — 77 citations into it; #12,956 of 16,539 by trust here, #7,062 by citations
- Artificial Intelligence — 37 citations into it; #30,656 of 35,345 by trust here, #15,004 by citations
- Cognitive Neuroscience — 16 citations into it
- Cellular and Molecular Neuroscience — 12 citations into it
Whom Paul R. Prucnal trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Paul R. Prucnal overall
Papers from Paul R. Prucnal's perspective
Ordered by how strongly the researchers Paul R. Prucnal trusts endorse each paper. Same corpus, a different order for every researcher.
- Competitive Hebbian learning through spike-timing-dependent synaptic plasticity
- Modular and Hierarchically Modular Organization of Brain Networks
- Neuromorphic Silicon Neuron Circuits
- Deep Learning
- Dynamical Systems in Neuroscience: The Geometry of Excitability and Bursting
- Silicon Photonics (Journal of Lightwave Technology)
- Parallel photonic information processing at gigabyte per second data rates using transient states (Nature Communications)
- Hybrid Integrated Platforms for Silicon Photonics (Materials)
- Influence of cultivation temperature on the ligninolytic activity of selected fungal strains
- Complex network measures of brain connectivity: Uses and interpretations
Their papers
- Neuromorphic photonic networks using silicon photonic weight banks (2016) — 788 citations
- Photonics for artificial intelligence and neuromorphic computing (2020) — 1,655 citations
- Broadcast and Weight: An Integrated Network For Scalable Photonic Spike Processing (2014) — 373 citations
- Optical Code Division Multiple Access : Fundamentals and Applications (2005) — 306 citations
- Optical Layer Security in Fiber-Optic Networks (2011) — 307 citations