Günther Palm
Cognitive Neuroscience · 1989–2012
A researcher in the Science corpus: 15 papers; trusts 34 researchers and is trusted by 18 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 50 citations into it; #1,780 of 10,852 by trust here, #4,095 by citations
- Cellular and Molecular Neuroscience — 39 citations into it; #1,287 of 2,998 by trust here, #2,766 by citations
- Electrical and Electronic Engineering — 27 citations into it; #2,696 of 16,539 by trust here, #9,011 by citations
- Model Architectures — 19 citations into it
- Neuroscience — 19 citations into it
- Artificial Intelligence — 15 citations into it; #7,416 of 35,345 by trust here, #13,163 by citations
- Reinforcement Learning — 11 citations into it; #1,379 of 2,242 by trust here, #2,160 by citations
Whom Günther Palm trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David J. Willshaw
- John J. Hopfield
- Misha Tsodyks
- J. Austin
- James A. Anderson
- E. Gardner
- Teuvo Kohonen
- Peter S. Dayan
- Andreas Knoblauch
- Friedrich T. Sommer
Who trusts Günther Palm overall
- Andreas Knoblauch
- Friedrich T. Sommer
- J. Urgen Schmidhuber
- Edgar Körner
- Roy Fox
- Ursula Körner
- Sepp Hochreiter
- Friedemann Pulvermüller
- Laura Palagi
- Ari Pakman
Papers from Günther Palm's perspective
Ordered by how strongly the researchers Günther Palm trusts endorse each paper. Same corpus, a different order for every researcher.
- Reinforcement Learning: An Introduction
- ImageNet classification with deep convolutional neural networks
- Neural networks and physical systems with emergent collective computational abilities.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- A theory of cerebellar cortex
- Associative Memory: A System-Theoretical Approach
- Sparse Distributed Memory
- Neural Networks for Pattern Recognition
- A Theory of Cerebellar Function
- Theory for the development of neuron selectivity: orientation specificity and binocular interaction in visual cortex
Their papers
- Value-Difference Based Exploration: Adaptive Control between Epsilon-Greedy and Softmax (2011) — 240 citations
- Memory Capacities for Synaptic and Structural Plasticity (2010) — 144 citations
- Pattern separation and synchronization in spiking associative memories and visual areas (2001) — 83 citations
- Does Spike-Timing-Dependent Synaptic Plasticity Couple or Decouple Neurons Firing in Synchrony? (2012) — 53 citations
- A Study of the Robustness of KNN Classifiers Trained Using Soft Labels (2006) — 89 citations
- Biomimetic Neural Learning for Intelligent Robots - Intelligent Systems, Cognitive Robotics, and Neuroscience (2005) — 65 citations
- On associative memory (2004) — 147 citations
- Scene segmentation by spike synchronization in reciprocally connected visual areas. II. Global assemblies and synchronization on larger space and time scales (2002) — 50 citations
- Three learning phases for radial-basis-function networks (2001) — 518 citations
- Improved bidirectional retrieval of sparse patterns stored by Hebbian learning (1999)
- Effects of phase on the perception of intervocalic stop consonants (1997)
- Iterative retrieval of sparsely coded associative memory patterns (1996)
- Associative Data Storage and Retrieval in Neural Networks (1996)
- On the Information Storage Capacity of Local Learning Rules (1992)
- Density of neurons and synapses in the cerebral cortex of the mouse (1989)