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Identifier 000457344
Title Population analysis of neural activity recorded from the macaque premotor cortex during action execution and observation
Alternative Title Πληθυσμιακή ανάλυση νευρωνικής δραστηριότητας καταγεγραμμένης από τον προκινητικό φλοιό μακάκου κατά την εκτέλεση και παρατήρηση κινήσεων
Author Χατζημιχαήλ, Κωνσταντίνος
Thesis advisor Ράος, Βασίλειος
Abstract Neurons that respond to self-performed actions as well as observed actions executed by others, are called Mirror Neurons (MirNs). MirNs are assumed to mediate action understanding and play a significant role in social behavior. However, fundamental questions about their function, such as what kind of information they encode and whether executed and observed actions elicit congruent activity, remain open. In this study, we attempted to tackle these issues by analyzing neural data recorded from MirNs in the ventral and dorsal premotor cortex of the macaque brain, during execution and observation of grasping actions. We used population decoding methods to explore the neural code of MirNs and multiple linear regression models to evaluate the hypothesis that MirNs encode action kinematics. Furthermore, we assessed the congruency of the neural codes in the observation and execution conditions by applying decoding methods combined with neural subspace analysis techniques. We found that the code of MirNs for grip is dynamic and distributed to the population, that action kinematic information is contained in MirN activity and that observation-execution congruency can be found in the population codes. These findings challenge traditional views about MirNs and call for further investigation of their basic properties.
Language English
Subject Action observation
Mirror neurons
Εκτέλεση κίνησης
Νευρόνες κάτοπτρα
Issue date 2023-07-28
Collection   School/Department--School of Medicine--Department of Medicine--Post-graduate theses
  Type of Work--Post-graduate theses
Permanent Link https://elocus.lib.uoc.gr//dlib/8/b/6/metadata-dlib-1689671658-106169-724.tkl Bookmark and Share
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