J. Austin

1987

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

Whom J. Austin trusts overall

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

  1. John J. Hopfield

Who trusts J. Austin overall

  1. Günther Palm
  2. Herbert Jaeger
  3. Friedrich T. Sommer
  4. Liane Gabora
  5. J. Urgen Schmidhuber
  6. David J. Field
  7. Peter Földiák
  8. Imanol Schlag
  9. M. Bartlett
  10. Michael E. Hasselmo

Papers from J. Austin's perspective

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

  1. Number of stable points for spin-glasses and neural networks of higher orders.
  2. Structural Risk Minimization for Character Recognition
  3. Perceptrons An Introduction To Computational Geometry
  4. Probabilistic Interpretation of Feedforward Classification Network Outputs, with Relationships to Statistical Pattern Recognition
  5. Equilibrium Propagation: Bridging the Gap between Energy-Based Models and Backpropagation
  6. Neurons with graded response have collective computational properties like those of two-state neurons.
  7. This PDF file includes: Materials and Methods
  8. Deep Learning
  9. Exact Calculation of the Hessian Matrix for the Multilayer Perceptron
  10. All-or-none potentiation at CA3-CA1 synapses.

Their papers