Christoph Kayser
Cognitive Neuroscience · 2001–2016
A researcher in the Science corpus: 11 papers; trusts 43 researchers and is trusted by 12 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 184 citations into it; #3,310 of 10,852 by trust here, #1,790 by citations
- Cellular and Molecular Neuroscience — 73 citations into it
- Experimental and Cognitive Psychology — 64 citations into it; #3,245 of 9,731 by trust here, #3,857 by citations
- Sensory Systems — 29 citations into it; #241 of 760 by trust here, #211 by citations
- Artificial Intelligence — 22 citations into it
- Molecular Biology — 16 citations into it; #16,492 of 17,773 by trust here, #10,864 by citations
- Neuroscience — 14 citations into it
- Statistics and Probability — 13 citations into it
Whom Christoph Kayser trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Marc O. Ernst
- Peter Lakatos
- Gemma A. Calvert
- Ladan Shams
- Geoffrey E. Hinton
- James V. Haxby
- Nikos K. Logothetis
- Rajesh P. N. Rao
- Barry E. Stein
- Charles Spence
Who trusts Christoph Kayser overall
- Brian Odegaard
- Mathias Franzius
- Martin A. Vinck
- Robin A. A. Ince
- Michael Teichmann
- Jörn-Philipp Lies
- Phillip Isola
- Wolfgang Einhäuser
- German Ignacio Parisi
- Micah M. Murray
Papers from Christoph Kayser's perspective
Ordered by how strongly the researchers Christoph Kayser 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Information Theory: 1948-1998 - Guest Editorial
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Distributed hierarchical processing in the primate cerebral cortex.
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Improvement of visual contrast detection by a simultaneous sound. (2007) — 186 citations
- Neural population coding: combining insights from microscopic and mass signals (2015) — 220 citations
- Extracting Slow Subspaces from Natural Videos Leads to Complex Cells (2001) — 77 citations
- Modelling and analysis of local field potentials for studying the function of cortical circuits (2013) — 802 citations
- A statistical framework for neuroimaging data analysis based on mutual information estimated via a gaussian copula (2016) — 353 citations
- Multisensory Causal Inference in the Brain (2015) — 133 citations
- Eccentricity dependent auditory enhancement of visual stimulus detection but not discrimination (2013) — 134 citations
- Sensory neural codes using multiplexed temporal scales. (2010) — 540 citations
- Spike-phase coding boosts and stabilizes information carried by spatial and temporal spike patterns. (2009) — 525 citations
- Do early sensory cortices integrate cross-modal information? (2007) — 314 citations
- Frontiers in Integrative Neuroscience Integrative Neuroscience — 83 citations