E. Solomon
Cognitive Neuroscience · with Jobst · 2014–2019
A researcher in the Science corpus: 5 papers; trusts 20 researchers and is trusted by 16 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 26 citations into it; #1,925 of 10,852 by trust here, #770 by citations
- Computer Vision and Pattern Recognition — 22 citations into it; #6,559 of 21,575 by trust here, #3,378 by citations
- Artificial Intelligence — 12 citations into it
- Molecular Biology — 7 citations into it
- Biophysics — 6 citations into it
- Model Architectures — 5 citations into it
Whom E. Solomon trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yann LeCun
- James J. DiCarlo
- Alex Krizhevsky
- Nicolas Pinto
- David G. Lowe
- Geoffrey E. Hinton
- Yoshua Bengio
- Daniel L. K. Yamins
- Brendan J. Frey
- Nicole C. Rust
Who trusts E. Solomon overall
- Nikolaus Kriegeskorte
- Robert Geirhos
- Leon A. Gatys
- Jonas Kubilius
- Josh Tenenbaum
- Guangyu Robert Yang
- Emmanuel Dupoux
- Daniel L. K. Yamins
- Grace W. Lindsay
Papers from E. Solomon's perspective
Ordered by how strongly the researchers E. Solomon trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Distinctive Image Features from Scale-Invariant Keypoints
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Going deeper with convolutions
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Performance-optimized hierarchical models predict neural responses in higher visual cortex (2014) — 2,251 citations
- Deep Neural Networks Rival the Representation of Primate IT Cortex for Core Visual Object Recognition (2014) — 837 citations
- Functional control of electrophysiological network architecture using direct neurostimulation in humans (2019)
- Medial temporal lobe functional connectivity predicts stimulation-induced theta power (2018)
- Widespread theta synchrony and high-frequency desynchronization underlies enhanced cognition (2017)