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ICANN
2003
Springer
15 years 10 months ago
The Spike Response Model: A Framework to Predict Neuronal Spike Trains
We propose a simple method to map a generic threshold model, namely the Spike Response Model, to artificial data of neuronal activity using a minimal amount of a priori informatio...
Renaud Jolivet, Timothy J. Lewis, Wulfram Gerstner
PKDD
2010
Springer
162views Data Mining» more  PKDD 2010»
15 years 3 months ago
Expectation Propagation for Bayesian Multi-task Feature Selection
In this paper we propose a Bayesian model for multi-task feature selection. This model is based on a generalized spike and slab sparse prior distribution that enforces the selectio...
Daniel Hernández-Lobato, José Miguel...
MICCAI
2007
Springer
16 years 6 months ago
Active-Contour-Based Image Segmentation Using Machine Learning Techniques
Abstract. We introduce a non-linear shape prior for the deformable model framework that we learn from a set of shape samples using recent manifold learning techniques. We model a c...
Patrick Etyngier, Florent Ségonne, Renaud K...
132
Voted
GCC
2005
Springer
15 years 10 months ago
Supporting Remote Collaboration Through Structured Activity Logging
Abstract. This paper describes an integrated architecture for online collaborative multimedia (audio and text) meetings which supports the recording of participants' audio exc...
Matt-Mouley Bouamrane, Saturnino Luz, Masood Masoo...
132
Voted
IJON
2007
79views more  IJON 2007»
15 years 5 months ago
Serial interval statistics of spontaneous activity in cortical neurons in vivo and in vitro
Stationary spiking of single neurons is often modelled by a renewal point process. Here, we tested the underlying model assumption that the inter-spike intervals are mutually inde...
Martin P. Nawrot, Clemens Boucsein, Victor Rodrigu...