Similarity analysis of neuronal activation patterns
Pages 299 - 304
Abstract
Understanding the relationship between neuronal activation patterns of specific brain areas resulting from sensorial experiences is a challenging problem. In this context, we analyzed the levels of similarity between neuronal activation patterns using a semi-supervised method and data acquired from microelectrode arrays implanted on specific brain areas of rats, during an experiment of tactile exploration of four classes of physical objects in the dark. Eight factors were considered (animal, brain region, pair of objects, clustering algorithm, clustering evaluation metric, bin size, window size and contact interval), resulting in 294.912 similarity measurements. Hypotheses regarding the relationship of each of the factors were statistically tested. Not all degrees of similarity between the patterns extracted from pairs of different exploration intervals, for two different objects, were equivalent to a given treatment. This indicated that the similarity between the patterns is sensitive to all the factors analyzed and provides evidence about the complexity of neuronal coding in the brain.
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Index Terms
- Similarity analysis of neuronal activation patterns
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Published: 04 April 2016
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