Eörs Szathmáry
Cognitive Neuroscience · 2001–2015
A researcher in the Science corpus: 7 papers; trusts 29 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 62 citations into it; #7,249 of 10,852 by trust here, #7,860 by citations
- Cellular and Molecular Neuroscience — 48 citations into it; #2,194 of 2,998 by trust here, #2,766 by citations
- Artificial Intelligence — 20 citations into it
- Electrical and Electronic Engineering — 19 citations into it; #12,664 of 16,539 by trust here, #14,379 by citations
- Neuroscience — 19 citations into it
- Molecular Biology — 18 citations into it
- Sociology and Political Science — 10 citations into it
- Cognitive Science & Psychology — 8 citations into it
Whom Eörs Szathmáry trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Eugene M. Izhikevich
- Patrick Forber
- H. Sebastian Seung
- Chrisantha Fernando
- Kenneth A. De Jong
- John H. Holland
- Olaf Sporns
- Karl J. Friston
- Erkki Oja
- P. Husbands
Who trusts Eörs Szathmáry overall
Papers from Eörs Szathmáry's perspective
Ordered by how strongly the researchers Eörs Szathmáry trusts endorse each paper. Same corpus, a different order for every researcher.
- Reinforcement Learning: An Introduction
- A Fast Learning Algorithm for Deep Belief Nets
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Synaptic Modifications in Cultured Hippocampal Neurons: Dependence on Spike Timing, Synaptic Strength, and Postsynaptic Cell Type
- Information Theory, Inference, and Learning Algorithms
- Regulation of Synaptic Efficacy by Coincidence of Postsynaptic APs and EPSPs
- Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems
Their papers
- Copying and Evolution of Neuronal Topology (2008) — 51 citations
- Evolvable Neuronal Paths: A Novel Basis for Information and Search in the Brain (2011) — 23 citations
- Phenotypic plasticity, the Baldwin effect, and the speeding up of evolution: the computational roots of an illusion. (2014) — 20 citations
- Neuronal boost to evolutionary dynamics (2015) — 9 citations
- Selectionist and Evolutionary Approaches to Brain Function: A Critical Appraisal (2012) — 89 citations
- The principles of life (2003) — 237 citations
- Can Genes Explain Biological Complexity? (2001) — 83 citations