Title
Combining ESOMs trained on a hierarchy of feature subsets for single-trial decoding of LFP responses in monkey area V4
Abstract
We develop and combine topographic maps trained on different combinations of feature subsets for visualizing and classifying event-related responses recorded with a multi-electrode array chronically implanted in the visual cortical area V4 of a rhesus monkey. The monkey was trained, during consecutive training sessions, in a classical conditioning paradigm in which one stimulus was consistently paired with a fluid reward and another stimulus not. We opted for features from three categories: time-frequency analysis, phase synchronization between electrodes, and propagating waves in the array. The Emergent Self Organizing Map (ESOM) was used to explore the feasibility of single-trial decoding. Since the effective dimensionality of the feature space is rather high, a series of ESOMs was trained on features selected from different combinations of the three feature categories. For each trained ESOM, a classifier was developed, and classifiers of different ESOMs were combined so as to maximize the single-trial decoding performance.
Year
DOI
Venue
2010
10.1007/978-3-642-13232-2_67
ICAISC (2)
Keywords
Field
DocType
rhesus monkey,different esoms,feature subsets,trained esom,multi-electrode array,single-trial decoding,feature space,different combination,feature category,monkey area v4,lfp response,combining esoms,single-trial decoding performance,feature selection,classical conditioning,phase synchronization,topographic map,time frequency analysis
Feature vector,Pattern recognition,Computer science,Topographic map,Phase synchronization,Self-organizing map,Curse of dimensionality,Artificial intelligence,Decoding methods,Classifier (linguistics),Machine learning,Classical conditioning
Conference
Volume
ISSN
ISBN
6114
0302-9743
3-642-13231-6
Citations 
PageRank 
References 
2
0.39
5
Authors
4
Name
Order
Citations
PageRank
Nikolay V. Manyakov111111.82
Jonas Poelmans227719.28
Rufin Vogels3477.82
Marc M. Van Hulle462269.75