Hiroaki Gomi

Cognitive Neuroscience · 1993–2004

A researcher in the Science corpus: 4 papers; trusts 5 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 5 citations into it; #4,479 of 10,852 by trust here, #6,360 by citations

Whom Hiroaki Gomi trusts overall

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

1. Michael I. Jordan
2. Mitsuo Kawato
3. David E. Rumelhart
4. Geoffrey E. Hinton
5. Richard S. Sutton
6. Ronald J. Williams

Who trusts Hiroaki Gomi overall

1. Filip Ponulak
2. J. Urgen Schmidhuber
3. Ann M. Graybiel
4. Andrzej J. Kasinski
5. Masao Ito
6. Jens Kober

Papers from Hiroaki Gomi's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Learning representations by back-propagating errors
7. Learning Multiple Layers of Features from Tiny Images
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Short- and long-term changes in joint co-contraction associated with motor learning as revealed from surface EMG. (2002) — 409 citations
• A computational model of four regions of the cerebellum based on feedback-error learning (2004) — 500 citations
• A Kendama Learning Robot Based on Bi-directional Theory (1996)
• Neural network control for a closed-loop System using Feedback-error-learning (1993)