0000000000860092
AUTHOR
Jarno Mikkonen
Spectral entropy based neuronal network synchronization analysis based on microelectrode array measurements
Synchrony and asynchrony are essential aspects of the functioning of interconnected neuronal cells and networks. New information on neuronal synchronization can be expected to aid in understanding these systems. Synchronization provides insight in the functional connectivity and the spatial distribution of the information processing in the networks. Synchronization is generally studied with time domain analysis of neuronal events, or using direct frequency spectrum analysis, e.g., in specific frequency bands. However, these methods have their pitfalls. Thus, we have previously proposed a method to analyze temporal changes in the complexity of the frequency of signals originating from differ…
NEW METHODS DEEPENING UNDERSTANDING OF STUDENTS' EXPERIENCES AND THEIR RELATION TO PHYSIOLOGICAL ALERTNESS VARIATIONS DURING LEARNING
In this study we explored whether physiological measurement technologies could be used in a combination with traditional educational research methods to investigate learning experiences. We aimed, first, to explore individual physiological reactions during learning and how these reactions relate to experiences, emotions and contexts of learning and, second, to test new methodology and its suitability for investigating learning. The data was collected during a teacher education programme in a Finnish university. A total of 14 students participated in the study. The data was collected during two contact periods of three days and the weekends after them, ten days in total. We used a mixed meth…
Associations Between Adolescents' Subjectively Experienced Emotions and Psychophysiological Reactions in Achievement Situations
This study investigated associations of early adolescents' (N=190, median age = 12) subjectively experienced emotions and psychophysiological reactions in achievement situations. Self-reported questions assessed adolescents' experienced emotions. Additionally, adolescents' autonomic nervous system (ANS) reactions were recorded; skin-conductance response (SCR) and heart rate (HR) were used to measure sympathetic nervous system activity, and heart rate variability (HRV) was used to measure parasympathetic nervous system activity. The between-person-level results of multilevel modeling showed that increased HR was associated with higher levels of hope and fear and that decreased SCR was associ…
Burst analysis tool for developing neuronal networks exhibiting highly varying action potential dynamics
In this paper we propose a firing statistics based neuronal network burst detection algorithm for neuronal networks exhibiting highly variable action potential dynamics. Electrical activity of neuronal networks is generally analyzed by the occurrences of spikes and bursts both in time and space. Commonly accepted analysis tools employ burst detection algorithms based on predefined criteria. However, maturing neuronal networks, such as those originating from human embryonic stem cells (hESCs), exhibit highly variable network structure and time-varying dynamics. To explore the developing burst/spike activities of such networks, we propose a burst detection algorithm which utilizes the firing …