David Bol

Electrical and Electronic Engineering · 2018

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom David Bol trusts

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

  1. Eugene M. Izhikevich (in Cognitive Neuroscience)
  2. Wulfram Gerstner (in Cognitive Neuroscience)
  3. Shih-Chii Liu (in Electrical and Electronic Engineering)
  4. Romain Brette (in Electrical and Electronic Engineering)
  5. Corinna Cortes (in Evaluation & Benchmarks)
  6. Yann LeCun (in Evaluation & Benchmarks)

Papers from David Bol's perspective

Ordered by how strongly the researchers David Bol 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. Simple model of spiking neurons
  3. Fast-classifying, high-accuracy spiking deep networks through weight and threshold balancing (IEEE International Joint Conference on Neural Network)
  4. The mnist database of handwritten digits
  5. A quantitative description of membrane current and its application to conduction and excitation in nerve
  6. Point-to-point connectivity between neuromorphic chips using address events
  7. Neurogrid: A Mixed-Analog-Digital Multichip System for Large-Scale Neural Simulations (Proceedings of the IEEE)
  8. 1.1 Computing's energy problem (and what we can do about it)
  9. Adaptive exponential integrate-and-fire model as an effective description of neuronal activity. (Journal of Neurophysiology)
  10. Binarized Neural Networks

Their papers