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Coordination Dynamics in Cognitive Neuroscience
Title
Coordination Dynamics in Cognitive Neuroscience.
Creator
Bressler, Steven L., Kelso, J. A. Scott
Date Issued
2016-09-15
PURL
http://purl.flvc.org/fau/fd/FAUIR000128
Format
Citation
The Virtual Teacher (VT) Paradigm: Learning New Patterns of Interpersonal Coordination Using the Human Dynamic Clamp
Title
The Virtual Teacher (VT) Paradigm: Learning New Patterns of Interpersonal Coordination Using the Human Dynamic Clamp.
Creator
Kostrubiec, Viviane, Dumas, Guillaume, Zanone, Pier-Giorgio, Kelso, J. A. Scott, Marinazzo, Daniele
Abstract/Description
The Virtual Teacher paradigm, a version of the Human Dynamic Clamp (HDC), is introduced into studies of learning patterns of inter-personal coordination. Combining mathematical modeling and experimentation, we investigate how the HDC may be used as a Virtual Teacher (VT) to help humans co-produce and internalize new inter-personal coordination pattern(s). Human learners produced rhythmic finger movements whilst observing a computer- driven avatar, animated by dynamic equations stemming from...
Show moreThe Virtual Teacher paradigm, a version of the Human Dynamic Clamp (HDC), is introduced into studies of learning patterns of inter-personal coordination. Combining mathematical modeling and experimentation, we investigate how the HDC may be used as a Virtual Teacher (VT) to help humans co-produce and internalize new inter-personal coordination pattern(s). Human learners produced rhythmic finger movements whilst observing a computer- driven avatar, animated by dynamic equations stemming from the well-established Haken-Kelso-Bunz (1985) and Schöner-Kelso (1988) models of coordination. We demonstrate that the VT is successful in shifting the pattern co-produced by the VT-human system toward any value (Experiment 1) and that the VT can help humans learn unstable relative phasing patterns (Experiment 2). Using transfer entropy, we find that information flow from one partner to the other increases when VT-human coordination loses stability. This suggests that variable joint performance may actually facilitate interaction, and in the long run learning. VT appears to be a promising tool for exploring basic learning processes involved in social interaction, unraveling the dynamics of information flow between interacting partners, and providing possible rehabilitation opportunities.
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Date Issued
2015-11-16
PURL
http://purl.flvc.org/fau/fd/FAUIR000077
Format
Citation
The coordination dynamics of social neuromarkers
Title
The coordination dynamics of social neuromarkers.
Creator
Tognoli, Emmanuelle, Kelso, J. A. Scott
Date Issued
2015-10-20
PURL
http://purl.flvc.org/fau/fd/FAUIR000164
Format
Citation
Biophysically based computational models of astrocyte ~ neuron coupling and their functional significance
Title
Biophysically based computational models of astrocyte ~ neuron coupling and their functional significance.
Creator
Wade, John J., McDaid, Liam J., Harkin, Jim, Crunelli, Vincenzo, Kelso, J. A. Scott
Date Issued
2013
PURL
http://purl.flvc.org/fau/fd/FAUIR000028
Format
Citation
Self-repair in a bidirectionally coupled astrocyte-neuron (AN) system based on retrograde signaling
Title
Self-repair in a bidirectionally coupled astrocyte-neuron (AN) system based on retrograde signaling.
Creator
Wade, John J., McDaid, Liam J., Harkin, Jim, Crunelli, Vincenzo, Kelso, J. A. Scott
Date Issued
2012
PURL
http://purl.flvc.org/fau/fd/FAUIR000162
Format
Citation
Beyond the blank slate: routes to learning new coordination patterns depend on the intrinsic dynamics of the learner—experimental evidence and theoretical model
Title
Beyond the blank slate: routes to learning new coordination patterns depend on the intrinsic dynamics of the learner—experimental evidence and theoretical model.
Creator
Kostrubiec, Viviane, Zanone, Pier-Giorgio, Fuchs, Armin, Kelso, J. A. Scott
Date Issued
2012
PURL
http://purl.flvc.org/fau/fd/FAUIR000163
Format
Citation
Bidirectional Coupling between Astrocytes and Neurons Mediates Learning and Dynamic Coordination in the Brain: A Multiple Modeling Approach
Title
Bidirectional Coupling between Astrocytes and Neurons Mediates Learning and Dynamic Coordination in the Brain: A Multiple Modeling Approach.
Creator
Wade, John J., McDaid, Liam J., Harkin, Jim, Crunelli, Vincenzo, Kelso, J. A. Scott, Cymbalyuk, Gennady
Abstract/Description
In recent years research suggests that astrocyte networks, in addition to nutrient and waste processing functions, regulate both structural and synaptic plasticity. To understand the biological mechanisms that underpin such plasticity requires the development of cell level models that capture the mutual interaction between astrocytes and neurons. This paper presents a detailed model of bidirectional signaling between astrocytes and neurons (the astrocyte-neuron model or AN model) which yields...
Show moreIn recent years research suggests that astrocyte networks, in addition to nutrient and waste processing functions, regulate both structural and synaptic plasticity. To understand the biological mechanisms that underpin such plasticity requires the development of cell level models that capture the mutual interaction between astrocytes and neurons. This paper presents a detailed model of bidirectional signaling between astrocytes and neurons (the astrocyte-neuron model or AN model) which yields new insights into the computational role of astrocyte-neuronal coupling. From a set of modeling studies we demonstrate two significant findings. Firstly, that spatial signaling via astrocytes can relay a ‘‘learning signal’’ to remote synaptic sites. Results show that slow inward currents cause synchronized postsynaptic activity in remote neurons and subsequently allow Spike-Timing-Dependent Plasticity based learning to occur at the associated synapses. Secondly, that bidirectional communication between neurons and astrocytes underpins dynamic coordination between neuron clusters. Although our composite AN model is presently applied to simplified neural structures and limited to coordination between localized neurons, the principle (which embodies structural, functional and dynamic complexity), and the modeling strategy may be extended to coordination among remote neuron clusters.
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Date Issued
2011-12-29
PURL
http://purl.flvc.org/fau/fd/FAUIR000027
Format
Citation
Dynamic Emotional and Neural Responses to Music Depend on Performance Expression and Listener Experience
Title
Dynamic Emotional and Neural Responses to Music Depend on Performance Expression and Listener Experience.
Creator
Chapin, Heather L., Jantzen, Kelly J., Kelso, J. A. Scott, Steinberg, Fred, Large, Edward W., Rodriguez-Fornells, Antoni
Abstract/Description
Apart from its natural relevance to cognition, music provides a window into the intimate relationships between production, perception, experience, and emotion. Here, emotional responses and neural activity were observed as they evolved together with stimulus parameters over several minutes. Participants listened to a skilled music performance that included the natural fluctuations in timing and sound intensity that musicians use to evoke emotional responses. A mechanical performance of the...
Show moreApart from its natural relevance to cognition, music provides a window into the intimate relationships between production, perception, experience, and emotion. Here, emotional responses and neural activity were observed as they evolved together with stimulus parameters over several minutes. Participants listened to a skilled music performance that included the natural fluctuations in timing and sound intensity that musicians use to evoke emotional responses. A mechanical performance of the same piece served as a control. Before and after fMRI scanning, participants reported real-time emotional responses on a 2-dimensional rating scale (arousal and valence) as they listened to each performance. During fMRI scanning, participants listened without reporting emotional responses. Limbic and paralimbic brain areas responded to the expressive dynamics of human music performance, and both emotion and reward related activations during music listening were dependent upon musical training. Moreover, dynamic changes in timing predicted ratings of emotional arousal, as well as real-time changes in neural activity. BOLD signal changes correlated with expressive timing fluctuations in cortical and subcortical motor areas consistent with pulse perception, and in a network consistent with the human mirror neuron system. These findings show that expressive music performance evokes emotion and reward related neural activations, and that music’s affective impact on the brains of listeners is altered by musical training. Our observations are consistent with the idea that music performance evokes an emotional response through a form of empathy that is based, at least in part, on the perception of movement and on violations of pulse-based temporal expectancies.
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Date Issued
2010-12-16
PURL
http://purl.flvc.org/fau/fd/FAUIR000067
Format
Citation
Instabilities and phase transitions in human brain and behavior
Title
Instabilities and phase transitions in human brain and behavior.
Creator
Kelso, J. A. Scott
Date Issued
2010
PURL
http://purl.flvc.org/fau/fd/FAUIR000026
Format
Citation
Virtual Partner Interaction (VPI): Exploring Novel Behaviors via Coordination Dynamics
Title
Virtual Partner Interaction (VPI): Exploring Novel Behaviors via Coordination Dynamics.
Creator
Kelso, J. A. Scott, de Guzman, Gonzalo C., Reveley, Colin, Tognoli, Emmanuelle, Sporns, Olaf
Abstract/Description
Inspired by the dynamic clamp of cellular neuroscience, this paper introduces VPI—Virtual Partner Interaction—a coupled dynamical system for studying real time interaction between a human and a machine. In this proof of concept study, human subjects coordinate hand movements with a virtual partner, an avatar of a hand whose movements are driven by a computerized version of the Haken-Kelso-Bunz (HKB) equations that have been shown to govern basic forms of human coordination. As a surrogate...
Show moreInspired by the dynamic clamp of cellular neuroscience, this paper introduces VPI—Virtual Partner Interaction—a coupled dynamical system for studying real time interaction between a human and a machine. In this proof of concept study, human subjects coordinate hand movements with a virtual partner, an avatar of a hand whose movements are driven by a computerized version of the Haken-Kelso-Bunz (HKB) equations that have been shown to govern basic forms of human coordination. As a surrogate system for human social coordination, VPI allows one to examine regions of the parameter space not typically explored during live interactions. A number of novel behaviors never previously observed are uncovered and accounted for. Having its basis in an empirically derived theory of human coordination, VPI offers a principled approach to human-machine interaction and opens up new ways to understand how humans interact with human-like machines including identification of underlying neural mechanisms.
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Date Issued
2009-06-03
PURL
http://purl.flvc.org/fau/fd/FAUIR000087
Format
Citation