Our brains are constantly integrating sensory and movement information as we navigate within our environment. Through millennium of evolution, human has learned to associate sensory information as cues to form motor plans. One example is that for almost all cultures, dance and music are tightly linked together an integrated form of performance and entertainment. However, it is yet unclear how our brain processes sensory information to coordinate a specific movement plan. In this Master Thesis, I investigated the brain region striatum that is known to play crucial roles in movement coordination and habit formation. To examine the effect of sensory inputs on locomotor behavior and striatal neural activities, we performed calcium imaging from the striatum of head fixed mice during voluntary locomotion. We injected AAV-syn-GCaMP7f virus into the striatum region to express the genetically encoded calcium sensor GCaMP7 in striatal neurons, and used a custom fluorescent microscope to measure intracellular calcium change from hundreds of labelled cells simultaneously. To examine how audio-visual stimulation impact movement behavior, we tracked mice’s speed using a spherical treadmill while applying sustained period of audio-visual stimulation at either 10 Hz or 145 Hz. To quantify the influence of audio-visual stimulation on different locomotion features, I developed several semi-automated algorithms in MATLAB to classify locomotion features, such as stationary periods, motion events, acceleration periods, deceleration period, and motion transitions. Furthermore, I optimized calcium imaging data processing pipelines and correlated striatal neural activity to various locomotion features. We found that audiovisual stimulation at both 10Hz and 145Hz increased locomotion, characterized as an increase in the percentage of time mice spent in motion events and a corresponding decrease in stationary period. However, only the145Hz stimulation, but not 10Hz stimulation promoted motion onset/offset transitions, and increased acceleration/deceleration probability. These results demonstrate that audiovisual stimulation can modulate locomotor activities in rodent models, and different patterns of audiovisual stimulation can selectively modulate different movement parameters. We also found that audiovisual stimulation increased the firing frequency of most responsive neurons regardless of mice’s movement state, suggesting that sensory information can further increase the excitability of some motion related striatal neurons both when the mice are moving and staying still. These results provide direct evidence that noninvasive audiovisual stimulation can modulate striatal neural activity, suggesting a basis for developing future noninvasive sensory stimulation based exercise and dance therapies for motor disorders that involve the striatum, such as Parkinson's disease. Future analysis of how audiovisual stimulation selectively modulates individual striatal neuron and striatal network during different aspects of movement will provide a more in-depth understanding of how sensory stimulation promote movement.

This thesis is focused on EEG processing and emotion classification within two-dimensional emotion space. First part consists of theoretical research about emotional responses of human subjects on sound, image and video stimuli. Emotions are examined from aspect of physiology and psychology. Furthermore technical overview of measurement, analysis and emotion classification within two-dimensional emotional space is discussed. Based on gathered knowledge measurement setup with audiovisual stimuli was designed and measured with two independent instruments – EGI GES400MR in laboratory conditions and Emotiv EPOC device in non-laboratory conditions. Signals were processed and emotions were classified based on chosen features. Performance of classifiers in multiple feature selection setups was evaluated.

This thesis deals with questions of scanning electric activity of brain,¬ so-called electroencephalograph (undermentioned EEG), methods of audiovisual stimulation (undermentioned AVS) and a data-measurement processing. Theoretical part of the thesis is engaged in a theory of EEG signal creation, history and even in current methods of purchasing and processing of the EEG signal, theory of AVS and a theory of biofeedback. For measuring EEG signal with or without an application of AVS methods has been used EEG diagnostic device by Alien company. Its attributes are described in the thesis as well. For elaboration and analysis has been created a programme aplication EEG_xhroze00.fig which realizes frequency spectrum analysis using Fast Fourier Transform algorithm (FFT) and another programme aplication brain_mapping.fig for mapping activity of brain using designed algorithm.

The main objective of this study is to learn about the audiovisual stimulator and to create hardware resolution of stimulation LED glasses and in environment of the program LabView application, which operate this stimulation LED glasses and in the same time create sound of stimulation. Use environment of the program LabView. Application, which is create in environment of the program LabView, enable operate stimulation LED glasses and arrange sound from three source with two different method, which use modern AVS. Application contains a lot of security, informative and agreement components.