NeurIPS Conference 2003 Conference Paper
Prediction on Spike Data Using Kernel Algorithms
- Jan Eichhorn
- Andreas Tolias
- Alexander Zien
- Malte Kuss
- Jason Weston
- Nikos Logothetis
- Bernhard Schölkopf
- Carl Rasmussen
We report and compare the performance of different learning algorithms based on data from cortical recordings. The task is to predict the orienta- tion of visual stimuli from the activity of a population of simultaneously recorded neurons. We compare several ways of improving the coding of the input (i. e. , the spike data) as well as of the output (i. e. , the orienta- tion), and report the results obtained using different kernel algorithms.