J. Parker Mitchell

Electrical and Electronic Engineering · 2022

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom J. Parker Mitchell trusts

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Nikola K. Kasabov (in Electrical and Electronic Engineering)
  2. Friedemann Zenke (in Electrical and Electronic Engineering)
  3. Wolfgang Maass (in Cognitive Neuroscience)

Papers from J. Parker Mitchell's perspective

Ordered by how strongly the researchers J. Parker Mitchell trusts endorse each paper. Same corpus, a different order for every researcher.

  1. A million spiking-neuron integrated circuit with a scalable communication network and interface
  2. The tempotron: a neuron that learns spike timing–based decisions (Nature Neuroscience)
  3. The SpiNNaker Project (Proceedings of the IEEE)
  4. Loihi: A Neuromorphic Manycore Processor with On-Chip Learning (IEEE Micro)
  5. Neurogrid: A Mixed-Analog-Digital Multichip System for Large-Scale Neural Simulations (Proceedings of the IEEE)
  6. A Low Power, Fully Event-Based Gesture Recognition System (Computer Vision and Pattern Recognition)
  7. A wafer-scale neuromorphic hardware system for large-scale neural modeling (Proceedings of 2010 IEEE International Symposium on Circuits and Systems)
  8. Surrogate Gradient Learning in Spiking Neural Networks: Bringing the Power of Gradient-based optimization to spiking neural networks (IEEE Signal Processing Magazine)
  9. Unsupervised learning of digit recognition using spike-timing-dependent plasticity (Frontiers in Computational Neuroscience)
  10. On the Computational Power of Winner-Take-All

Their papers