Javier F. Medina
Cellular and Molecular Neuroscience · 2000–2018
A researcher in the Science corpus: 4 papers; trusts 10 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Cellular and Molecular Neuroscience — 31 citations into it; #1,590 of 2,998 by trust here, #2,592 by citations
- Cognitive Neuroscience — 31 citations into it; #9,401 of 10,852 by trust here, #5,677 by citations
- Social Psychology — 5 citations into it
Whom Javier F. Medina trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Javier F. Medina overall
- N. A. Cayco-Gajic
- R. Silver
- Dean V. Buonomano
- Rodrigo Laje
- Uma R. Karmarkar
- Kanichay Rt
- Christian A. Rössert
Papers from Javier F. Medina's perspective
Ordered by how strongly the researchers Javier F. Medina trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Reinforcement Learning: An Introduction
- Long Short-Term Memory
- Questioning the role of sparse coding in the brain.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Consensus Paper: The Cerebellum's Role in Movement and Cognition (Cerebellum)
- Learning Multiple Layers of Features from Tiny Images
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- Computational Principles of Supervised Learning in the Cerebellum (2018) — 212 citations
- Cerebellar granule cells acquire a widespread predictive feedback signal during motor learning (2017) — 212 citations
- Climbing fibers encode a temporal-difference prediction error during cerebellar learning in mice (2015) — 237 citations
- Computer simulation of cerebellar information processing (2000) — 347 citations