Kristofor D. Carlson
Cognitive Neuroscience · 2014–2016
A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 28 citations into it
- Cellular and Molecular Neuroscience — 22 citations into it
- Electrical and Electronic Engineering — 15 citations into it
- Artificial Intelligence — 13 citations into it
- Neuroscience — 5 citations into it
Whom Kristofor D. Carlson trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Eugene M. Izhikevich
- Kenneth O. Stanley
- Astrid A. Prinz
- Randall D. Beer
- Romain Brette
- Risto Miikkulainen
- Jason Gauci
- Dario Floreano
- Dan F. M. Goodman
- Gianluigi Mongillo
Who trusts Kristofor D. Carlson overall
Papers from Kristofor D. Carlson's perspective
Ordered by how strongly the researchers Kristofor D. Carlson trusts endorse each paper. Same corpus, a different order for every researcher.
- Gradient-based learning applied to document recognition
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Reinforcement Learning: An Introduction
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Synaptic Modifications in Cultured Hippocampal Neurons: Dependence on Spike Timing, Synaptic Strength, and Postsynaptic Cell Type
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- A Fast Learning Algorithm for Deep Belief Nets
Their papers
- An efficient automated parameter tuning framework for spiking neural networks (2014) — 73 citations
- Neurogenesis deep learning: Extending deep networks to accommodate new classes (2016) — 105 citations