Edgar Körner

Cognitive Neuroscience · 2003–2014

A researcher in the Science corpus: 6 papers; trusts 27 researchers and is trusted by 29 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 101 citations into it; #1,732 of 10,852 by trust here, #6,180 by citations
• Cellular and Molecular Neuroscience — 73 citations into it
• Electrical and Electronic Engineering — 46 citations into it
• Neuroscience — 30 citations into it
• Artificial Intelligence — 20 citations into it; #11,044 of 35,345 by trust here, #21,878 by citations
• Computer Vision and Pattern Recognition — 10 citations into it; #4,784 of 21,575 by trust here, #12,419 by citations
• Representation & Self-Supervised Learning — 10 citations into it
• Signal Processing — 8 citations into it; #1,439 of 7,572 by trust here, #5,570 by citations

Whom Edgar Körner trusts overall

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

1. Andreas Knoblauch
2. Günther Palm
3. Sven Behnke
4. Maximilian Riesenhuber
5. Daniel D. Lee
6. Barbara Olshausen
7. Friedrich T. Sommer
8. Terrence J. Sejnowski
9. Aapo Hyvärinen
10. Tomaso A. Poggio

Who trusts Edgar Körner overall

1. Will Y. Zou
2. Dileep George
3. Thomas Serre
4. John R. Hershey
5. Alexander Andreopoulos
6. Morten Mørup
7. Mikkel N. Schmidt
8. Hossein Mobahi
9. J. Kolter
10. Vishal Monga

Papers from Edgar Körner's perspective

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

1. Neural networks and physical systems with emergent collective computational abilities.
2. The organization of behavior.
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet classification with deep convolutional neural networks
5. Gradient-based learning applied to document recognition
6. Synaptic Modifications in Cultured Hippocampal Neurons: Dependence on Spike Timing, Synaptic Strength, and Postsynaptic Cell Type
7. Theory for the development of neuron selectivity: orientation specificity and binocular interaction in visual cortex
8. Dynamics of Ongoing Activity: Explanation of the Large Variability in Evoked Cortical Responses
9. Hierarchical models of object recognition in cortex
10. An Energy Budget for Signaling in the Grey Matter of the Brain

Their papers

• Learning Optimized Features for Hierarchical Models of Invariant Object Recognition (2003) — 196 citations
• Learning viewpoint invariant object representations using a temporal coherence principle (2005) — 63 citations
• Does Spike-Timing-Dependent Synaptic Plasticity Couple or Decouple Neurons Firing in Synchrony? (2012) — 53 citations
• Structural Synaptic Plasticity Has High Memory Capacity and Can Explain Graded Amnesia, Catastrophic Forgetting, and the Spacing Effect (2014) — 45 citations
• Creating Brain-Like Intelligence (2009) — 33 citations
• Sparse coding and NMF (2004) — 337 citations