Seth A. Herd
Cognitive Neuroscience · 2011–2014
A researcher in the Science corpus: 3 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 74 citations into it
- Experimental and Cognitive Psychology — 12 citations into it
- Computer Vision and Pattern Recognition — 10 citations into it
- Cellular and Molecular Neuroscience — 8 citations into it
- Model Architectures — 7 citations into it
- Representation & Self-Supervised Learning — 7 citations into it
Whom Seth A. Herd trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Randall C. O’Reilly
- Geoffrey E. Hinton
- Zhaoping Li
- T. Landauer
- David J. Heeger
- Roger Ratcliff
- Matteo Carandini
- Kunihiko Fukushima
- Paul Smolensky
Who trusts Seth A. Herd overall
Papers from Seth A. Herd's perspective
Ordered by how strongly the researchers Seth A. Herd trusts endorse each paper. Same corpus, a different order for every researcher.
- This PDF file includes: Materials and Methods
- ImageNet classification with deep convolutional neural networks
- Learning Generative Visual Models from Few Training Examples: An Incremental Bayesian Approach Tested on 101 Object Categories
- Learning methods for generic object recognition with invariance to pose and lighting
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Learning representations by back-propagating errors
- Long Short-Term Memory
- Hierarchical models of object recognition in cortex
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
Their papers
- How Limited Systematicity Emerges: A Computational Cognitive Neuroscience Approach (Author's Manuscript) (2014) — 16 citations
- Recurrent Processing during Object Recognition (2013) — 179 citations
- A unified framework for inhibitory control (2011) — 635 citations