Jim Bednar
Cognitive Neuroscience · 2005–2015
A researcher in the Science corpus: 5 papers; trusts 18 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 59 citations into it; #8,832 of 10,852 by trust here, #7,600 by citations
- Cellular and Molecular Neuroscience — 29 citations into it
- Computer Vision and Pattern Recognition — 22 citations into it
- Molecular Biology — 12 citations into it
- Artificial Intelligence — 11 citations into it; #31,205 of 35,345 by trust here, #24,417 by citations
- Representation & Self-Supervised Learning — 11 citations into it
- Electrical and Electronic Engineering — 8 citations into it
- Biophysics — 5 citations into it
Whom Jim Bednar trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kenneth D. Miller
- Christoph von der Malsburg
- Teuvo Kohonen
- J. Weng
- Barbara Olshausen
- David H. Hubel
- T. Wiesel
- James L. McClelland
- David J. Field
- Matteo Carandini
Who trusts Jim Bednar overall
Papers from Jim Bednar's perspective
Ordered by how strongly the researchers Jim Bednar trusts endorse each paper. Same corpus, a different order for every researcher.
- Receptive fields and functional architecture of monkey striate cortex
- Ocular dominance column development: analysis and simulation.
- Sparse coding with an overcomplete basis set: a strategy employed by V1?
- Receptive fields, binocular interaction and functional architecture in the cat's visual cortex
- A Synaptic Explanation of Suppression in Visual Cortex
- Development of the Brain depends on the Visual Environment
- Fast and slow contrast adaptation in retinal circuitry.
- The effect of contrast on the transfer properties of cat retinal ganglion cells.
- ImageNet classification with deep convolutional neural networks
- Self-organized formation of topographically correct feature maps
Their papers
- Computational Maps in the Visual Cortex (2005) — 263 citations
- Python in neuroscience (2015) — 74 citations
- Mechanisms for Stable, Robust, and Adaptive Development of Orientation Maps in the Primary Visual Cortex (2013) — 69 citations
- Building a mechanistic model of the development and function of the primary visual cortex. (2012) — 57 citations
- Topographica: Building and Analyzing Map-Level Simulations from Python, C/C++, MATLAB, NEST, or NEURON Components (2008)