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NIPS
2007
15 years 8 months ago
Bayesian Inference for Spiking Neuron Models with a Sparsity Prior
Generalized linear models are the most commonly used tools to describe the stimulus selectivity of sensory neurons. Here we present a Bayesian treatment of such models. Using the ...
Sebastian Gerwinn, Jakob Macke, Matthias Seeger, M...
AAAI
1994
15 years 8 months ago
Situated Plan Attribution for Intelligent Tutoring
Plan recognition techniques frequently make rigid assumptions about the student's plans, and invest substantial effort to infer unobservable properties of the student. The pe...
Randall W. Hill Jr., W. Lewis Johnson
ICASSP
2010
IEEE
15 years 7 months ago
Graph-spectrum-based neural spike features for stereotrodes and tetrodes
Extracellular recording of neural signals records the action potentials (known as spikes) of neurons adjacent to the electrode as well as the noise generated by the overall neural...
Yasser Ghanbari, Panos Papamichalis, Larry Spence
BMCBI
2010
116views more  BMCBI 2010»
15 years 7 months ago
Predicting success of oligomerized pool engineering (OPEN) for zinc finger target site sequences
Background: Precise and efficient methods for gene targeting are critical for detailed functional analysis of genomes and regulatory networks and for potentially improving the eff...
Jeffry D. Sander, Deepak Reyon, Morgan L. Maeder, ...
CVGIP
2006
138views more  CVGIP 2006»
15 years 7 months ago
Animal gaits from video: Comparative studies
We present a method for animating 3D models of animals from existing live video sequences such as wild life documentaries. Videos are first segmented into binary images on which p...
Laurent Favreau, Lionel Revéret, Christine ...