Dominik Endres' Home Page

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Concept lattice of my work

Legend: the graph below shows a concept lattice of my work. Each node represents a formal concept, the concept whose extent and intent are displayed on this page is highlighted in green. The graph is interactive, you can jump to a concept by clicking on it. The top concept links to my homepage. Think of the intent as the set of tags shared by the set of papers or presentations which form the extent of a concept (below the graph). Concepts are partially ordered: concept A > concept B if extent of A is a superset of B's extent (or conversely, if the intent of A is a subset of B's intent). An arrow from A to B means that A > B. I used reduced labelling, i.e. a tag is only shown in the largest concept which contains it. If you'd like to know more about Formal Concept Analysis, here is a good place to start!

Intent: Computational Neuroscience, presentation

Extent:

D. Endres and P. Földiák, Interpreting the Neural Code with Formal Concept Analysis, Joint Face Lab Meeting 2008, St. Andrews, UK.
D. Endres, J. Schindelin, P. Földiák and M. Oram, Examining the joint neural code of latency and firing rate by Bayesian binning,
Neural Coding 2007, Montevideo, Uruguay. Abstract.
D. Endres and M. Oram, Examining the joint neural code of latency and firing rate by Bayesian binning,
Spatiotemporal patterns and synfire chains workshop 2008, Newcastle, UK.
D. Endres, M. Oram, J. Schindelin and P. Földiák, Bayesian binning beats approximate alternatives: estimating peri-stimulus time histograms,
NIPS 2007, Whistler, B.C., Canada. Listen to our bragging while you look at the spotlight. Read this paper for details.
M.W. Oram, D. Xiao and D. Endres, Stimulus induced decorrelation of neuronal activity in the visual system, ECVP 2007, Arezzo, Italy,
PERCEPTION 36: 221-221 Suppl. S 2007
D. Endres and P. Földiák, Rapid presentation is efficient for testing visual neurons (area STSa): information rate peaks in the interval [9,24] stimuli/s,
CNS 2007, Toronto, Ontario, Canada. Abstract
D. Endres and P. Földiák, Exact Bayesian Bin Classification and Its Application to Neural Response Analysis,
COSYNE 2007, Salt Lake City, UT, USA. Read this paper for details.
 
 
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