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» Tristability in Model Neurons
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NIPS
2004
15 years 1 months ago
Maximising Sensitivity in a Spiking Network
We use unsupervised probabilistic machine learning ideas to try to explain the kinds of learning observed in real neurons, the goal being to connect abstract principles of self-or...
Anthony J. Bell, Lucas C. Parra
107
Voted
BIOINFORMATICS
2010
116views more  BIOINFORMATICS 2010»
15 years 17 days ago
A principal skeleton algorithm for standardizing confocal images of fruit fly nervous systems
Motivation: The fruit fly (Drosophila melanogaster) is a commonly used model organism in biology. We are currently building a 3D digital atlas of the fruit fly larval nervous syst...
Lei Qu, Hanchuan Peng
BMCBI
2007
207views more  BMCBI 2007»
15 years 13 days ago
Analyzing in situ gene expression in the mouse brain with image registration, feature extraction and block clustering
Background: Many important high throughput projects use in situ hybridization and may require the analysis of images of spatial cross sections of organisms taken with cellular lev...
Manjunatha Jagalur, Chris Pal, Erik G. Learned-Mil...
NECO
2008
101views more  NECO 2008»
15 years 11 days ago
Rapid Convergence to Feature Layer Correspondences
ll Text][Abstract] , May 1, 2008; 99 (5): 2496-2509.J Neurophysiol T. O. Sharpee, K. D. Miller and M. P. Stryker Natural Stimuli On the Importance of Static Nonlinearity in Estimat...
Jörg Lücke, Christian Keck, Christoph vo...
126
Voted
ALIFE
2002
15 years 9 days ago
Bioinspired Engineering of Exploration Systems for NASA and DoD
A new approach called bioinspired engineering of exploration systems (BEES) and its value for solving pressing NASA and DoD needs are described. Insects (for example honeybees and ...
Sarita Thakoor, Javaan S. Chahl, Mandyam V. Sriniv...