Naokazu Goda

2004

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

Whom Naokazu Goda trusts

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

  1. Radford M. Neal (in Probabilistic & Bayesian Methods)
  2. Shun-ichi Amari (in Optimization & Training)
  3. Masa-aki Sato (in Artificial Intelligence)

Papers from Naokazu Goda's perspective

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

  1. Interpreting magnetic fields of the brain: minimum norm estimates (Medical and Biological Engineering and Computing)
  2. Variational Bayesian inference for fMRI time series
  3. Natural Gradient Works Efficiently in Learning
  4. Dynamic Statistical Parametric Neurotechnique Mapping: Combining fMRI and MEG for High-Resolution Imaging of Cortical Activity
  5. Bayesian learning for neural networks
  6. Neurophysiological investigation of the basis of the fMRI signal (Nature)
  7. Online Model Selection Based on the Variational Bayes
  8. Information Theory: 1948-1998 - Guest Editorial
  9. Emergence of simple-cell receptive field properties by learning a sparse code for natural images
  10. Adaptive Mixtures of Local Experts

Their papers