Current Search: Kelso, J. A. Scott (x)
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Pages
- 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
- 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
- Title
- Emotional Response during Human-Virtual Partner Interaction.
- Creator
- Zhang, Mengsen, Dumas, Guillaume, Kelso, J. A. Scott, Graduate College, Tognoli, Emmanuelle
- Abstract/Description
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Emotion and coordinated movement complimentarily depicts our social experiences. How is motion colored? This study investigates variations in emotional responses during social coordination. Subjects were instructed to coordinate their finger movement with a Virtual Partner (VP), whose homologous movement was displayed as a video on the computer screen. The partner was driven by the Haken-Kelso-Bunz equations, an empirically validated model that captures behavioral and social coordination. It...
Show moreEmotion and coordinated movement complimentarily depicts our social experiences. How is motion colored? This study investigates variations in emotional responses during social coordination. Subjects were instructed to coordinate their finger movement with a Virtual Partner (VP), whose homologous movement was displayed as a video on the computer screen. The partner was driven by the Haken-Kelso-Bunz equations, an empirically validated model that captures behavioral and social coordination. It has been shown that people perceive VP as an intentional human agent. In each of 80 trials, subjects coordinated for 8 sec inphase or antiphase with VP, and then rated the partner’s intention (cooperation -VP intend same coordination pattern as human-, or competition) and subjective response to a Turing test of partners’ humanness. VP cooperated for half of the time, and could change its intention in the middle of a trial. Skin potential response (SPR) quantified the intensity of emotional responses. After validating the SPR measurements, we compared emotional responses by coordination pattern, cooperative~competitiveness, and humanness attribution. Subjects experienced higher emotional responses when they believed that their partner was human. This was observed both during coordination (ANOVA, p=0.020), and during rating (p=0.012). Furthermore during the rating period, higher emotional responses were found for cooperative behavior (p=0.012), modulated by VP’s change of intention and coordination pattern. This study suggests that emotional responses are strongly influenced by features of the partner’s behavior associated with humanness, cooperation and change of intention. Implications for mental health (e.g. autism) and design of socially cooperative machines will be discussed.
Show less - Date Issued
- 2014
- PURL
- http://purl.flvc.org/fau/fd/FA00005866
- Format
- Document (PDF)
- 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
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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.
Show less - Date Issued
- 2015-11-16
- PURL
- http://purl.flvc.org/fau/fd/FAUIR000077
- Format
- Citation
- 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
- 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
- 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
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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.
Show less - Date Issued
- 2011-12-29
- PURL
- http://purl.flvc.org/fau/fd/FAUIR000027
- Format
- Citation
- 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
- Title
- Modeling Experimental Time Series with Ordinary Differential Equations.
- Creator
- Kelso, J. A. Scott, Eisenhammer, T, Hubler, A., Packard, N.
- Abstract/Description
-
Recently some methods have been presented to extract ordinary differential equations (ODE) directly from an experimental time series. Here, we introduce a new method to find an ODE which models both the short time and the long time dynamics. The experimental data are represented in a state space and the corresponding flow vectors are approximated by polynomials of the state vector components. We apply these methods both to simulated data and experimental data from human limb movements, which...
Show moreRecently some methods have been presented to extract ordinary differential equations (ODE) directly from an experimental time series. Here, we introduce a new method to find an ODE which models both the short time and the long time dynamics. The experimental data are represented in a state space and the corresponding flow vectors are approximated by polynomials of the state vector components. We apply these methods both to simulated data and experimental data from human limb movements, which like many other biological systems can exhibit limit cycle dynamics. In systems with only one oscillator there is excellent agreement between the limit cycling displayed by the experimental system and the reconstructed model, even if the data are very noisy. Furthermore we study systems of two coupled limit cycle oscillators. There, a reconstruction was only successful for data with a sufficiently long transient trajectory and relatively low noise level.
Show less - Date Issued
- 1998
- PURL
- http://purl.flvc.org/fau/fd/FAUIR000398
- Format
- Document (PDF)
- Title
- Flexible modification of biological coordination: The recruitment and suppression of degrees of freedom.
- Creator
- Buchanan, John J., Florida Atlantic University, Kelso, J. A. Scott
- Abstract/Description
-
The dynamics of recruitment and suppression processes are studied in the coupled pendulum paradigm developed by Kugler and Turvey (1987). Experimentally, the main concern is whether pendulum motion in this task is purely planar. Theoretically, the main concern is whether one-dimensional phase equations developed originally by Haken, Kelso and Bunz (1985) and the symmetry breaking extension by Kelso, Delcolle and Schoner (1990), can capture the richness of the dynamics of this experimental...
Show moreThe dynamics of recruitment and suppression processes are studied in the coupled pendulum paradigm developed by Kugler and Turvey (1987). Experimentally, the main concern is whether pendulum motion in this task is purely planar. Theoretically, the main concern is whether one-dimensional phase equations developed originally by Haken, Kelso and Bunz (1985) and the symmetry breaking extension by Kelso, Delcolle and Schoner (1990), can capture the richness of the dynamics of this experimental model system. In experiment 1, subjects swung single hand-held pendulums in time with an auditory metronome whose frequency increased. Bifurcations from planar to spherical pendulum motion occurred at critical cycling frequencies. Typically, these frequencies were above the pendulum's eigenfrequency. Spectral measures showed that spherical pendulum motion was generated through the recruitment of wrist abduction and adduction. The spectral measures revealed that elbow flexion and extension was recruited as movement rate increased, presumably to stabilize pendulum motion. When recruited, both components frequency- and phase-entrained with the primary pendulum mover, wrist ulnar flexion-extension. In experiment 2, subjects swung coupled pendulums in either an in-phase or anti-phase coordinative mode as movement rate increased. Transitions between coordinative modes were not observed. Pattern stability, as defined by the variability of the phase relation between the pendulums, was not affected to any large degree by increasing movement rate. Bifurcations from planar to spherical motion emerged at critical cycling frequencies. Spectral measures demonstrated that this motion was generated by abduction and adduction of the wrist. Elbow flexion-extension motion was also recruited. The newly active components frequency- and phase-entrained with wrist ulnar flexion-extension. When the same neuromuscular components were recruited simultaneously, e.g., elbow motion in both arms, the components exhibited frequency- and phase-entrainment with the task defined pattern. The results demonstrate that recruitment processes stabilize the coordinative modes, thereby reducing the need to switch patterns. Both experiments revealed a much richer dynamics than ever observed in the coupled pendulum paradigm and question the application of one-dimensional phase equation models to the coupled pendulum paradigm.
Show less - Date Issued
- 1996
- PURL
- http://purl.flvc.org/fcla/dt/12439
- Subject Headings
- Kinesiology, Human mechanics, Movement, Psychology of, Motor learning
- Format
- Document (PDF)
- Title
- The coordination dynamics of single limb multijoint movement patterns: Spatial bifurcations and hysteresis.
- Creator
- Buchanan, John J., Florida Atlantic University, Kelso, J. A. Scott
- Abstract/Description
-
The aim of this research was to study the coordinative dynamics of multijoint arm movements as a function of forearm spatial orientation. Six subjects rhythmically coordinated flexion and extension of the right elbow and wrist under the following conditions: (1) forearm supine: wrist flexion/elbow flexion and vice versa; and (2) forearm prone: wrist flexion/elbow extension and vice versa. Starting in either pattern, subjects rotated the forearm in eight 20 steps, producing 15 cycles of motion...
Show moreThe aim of this research was to study the coordinative dynamics of multijoint arm movements as a function of forearm spatial orientation. Six subjects rhythmically coordinated flexion and extension of the right elbow and wrist under the following conditions: (1) forearm supine: wrist flexion/elbow flexion and vice versa; and (2) forearm prone: wrist flexion/elbow extension and vice versa. Starting in either pattern, subjects rotated the forearm in eight 20 steps, producing 15 cycles of motion at a frequency of 1.25 Hz. Switching from pattern (1) to pattern (2) and vice versa was observed at a critical spatial orientation. The critical point depended on the direction of forearm rotation, thus revealing the hysteretic nature of the switching. En route to the transition, regardless of direction of change, critical fluctuations and critical slowing down were observed in the relative phasing between the joints. Such results provide definitive evidence that relative phase is a viable order parameter, spatial orientation a relevant control parameter and loss of stability the chief mechanism leading to observed changes in coordination.
Show less - Date Issued
- 1992
- PURL
- http://purl.flvc.org/fcla/dt/14806
- Subject Headings
- Arm, Forelimb, Human mechanics, Kinesiology
- Format
- Document (PDF)
- 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.
Show less - Date Issued
- 2010-12-16
- PURL
- http://purl.flvc.org/fau/fd/FAUIR000067
- Format
- Citation
- 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
- 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.
Show less - Date Issued
- 2009-06-03
- PURL
- http://purl.flvc.org/fau/fd/FAUIR000087
- Format
- Citation
- Title
- A Theoretical Model of Phase Transitions in Human Hand Movements.
- Creator
- Kelso, J. A. Scott, Haken, H, Bunz, H.
- Abstract/Description
-
Earlier experimental studies by one of us (Kelso, 1981a, 1984) have shown that abrupt phase transitions occur in human hand movements under the influence of scalar changes in cycling frequency. Beyond a critical frequency the originally prepared out-of-phase, antisymmetric mode is replaced by a symmetrical, in-phase mode involving simultaneous activation of homologous muscle groups. Qualitatively, these phase transitions are analogous to gait shifts in animal locomotion as well as phenomena...
Show moreEarlier experimental studies by one of us (Kelso, 1981a, 1984) have shown that abrupt phase transitions occur in human hand movements under the influence of scalar changes in cycling frequency. Beyond a critical frequency the originally prepared out-of-phase, antisymmetric mode is replaced by a symmetrical, in-phase mode involving simultaneous activation of homologous muscle groups. Qualitatively, these phase transitions are analogous to gait shifts in animal locomotion as well as phenomena common to other physical and biological systems in which new "modes" or spatiotemporal patterns arise when the system is parametrically scaled beyond its equilibrium state (Haken, 1983). In this paper a theoretical model, using concepts centPal to the interdisciplinary field of synergetics and nonlinear oscillator theory, is developed, which reproduces (among other features) the dramatic change in coordinative pattern observed between the hands.
Show less - Date Issued
- 1985
- PURL
- http://purl.flvc.org/fau/fd/FAUIR000399
- Format
- Document (PDF)
- Title
- Dynamics of human sensorimotor coordination: From behavior to brain activity.
- Creator
- Chen, Yanqing, Florida Atlantic University, Ding, Mingzhou, Kelso, J. A. Scott
- Abstract/Description
-
The dynamics of human sensorimotor coordination are studied at behavioral and neural levels through temporal synchronization and syncopation tasks. In experiment 1, subjects synchronized their finger movements (in-phase) with a metronome at 2.0Hz and 1.25Hz for 1200 cycles. Fluctuations of timing errors were analyzed through correlation, power spectrum analyses and Maximum Likelihood Estimation (MLE). Results indicated that the synchronization error time series was characterized by a 1/falpha...
Show moreThe dynamics of human sensorimotor coordination are studied at behavioral and neural levels through temporal synchronization and syncopation tasks. In experiment 1, subjects synchronized their finger movements (in-phase) with a metronome at 2.0Hz and 1.25Hz for 1200 cycles. Fluctuations of timing errors were analyzed through correlation, power spectrum analyses and Maximum Likelihood Estimation (MLE). Results indicated that the synchronization error time series was characterized by a 1/falpha type of long memory process with alpha = 0.5. Previous timing models based upon motor program or simple "central clock" ideas were reviewed to show that they could not explain such long range correlations in the synchronization task. To explore the possible cognitive origins of long range correlation, experiment 2 required subjects to synchronize (on the beat) or syncopate (off the beat) to a metronome at 1Hz using different cognitive strategies. Timing fluctuations were again found to be 1/f alpha type, with alpha = 0.5 in synchronization and alpha = 0.8 in syncopation. When subjects employed a synchronization strategy to successfully syncopate, timing fluctuations shifted toward 1/f 0.5 type. This experiment indicated that the scaling exponent in timing fluctuations was related to task requirements and specific coordination strategies. Further, they suggest that the sources of such long memory originated from higher level cognitive processing in the human brain. Experiment 3 analyzed magnetoencephalography (MEG) data associated with synchronization and syncopation tasks. Brain oscillations at alpha (8--14Hz), beta (15--20Hz) and gamma (35--40Hz) frequency ranges were shown to correlate with different aspects of the coordination behavior. Specifically, through power and coherence analyses, alpha activity was linked to sensorimotor integration and "binding", beta activity was related to task requirements (synchronization or syncopation), and gamma activity was related to movement kinematics (trajectory). These results supported the idea that the 1/f alpha type of timing fluctuations originated from collective neural activities in the brain acting on multiple time scales.
Show less - Date Issued
- 2000
- PURL
- http://purl.flvc.org/fcla/dt/12649
- Subject Headings
- Sensorimotor integration, Cognitive neuroscience
- Format
- Document (PDF)
- Title
- Neural correlates of rhythmic auditory stimulation and rhythmic movement: Rate dependence and transient to steady-state transition.
- Creator
- Carver, Frederick White, Florida Atlantic University, Kelso, J. A. Scott, Fuchs, Armin
- Abstract/Description
-
The experiments in this dissertation were designed to produce a systematic characterization of the neuroelectric and neuromagnetic correlates of isochronous tone stimulation and simple rhythmic movements over a broad range of rates. The goal was to determine how the cortical representation of rhythm changes with rate, which would provide insight into known rate-dependent differences in perceptual and coordinative abilities. Fundamental transitions in the composition of the auditory and motor...
Show moreThe experiments in this dissertation were designed to produce a systematic characterization of the neuroelectric and neuromagnetic correlates of isochronous tone stimulation and simple rhythmic movements over a broad range of rates. The goal was to determine how the cortical representation of rhythm changes with rate, which would provide insight into known rate-dependent differences in perceptual and coordinative abilities. Fundamental transitions in the composition of the auditory and motor responses were hypothesized to occur within the parameter ranges studied here, including the attenuation of major response components and a shift from discrete transient activity at low rates to continuous steady-state activity at high rates. The auditory responses were studied in separate electroencephalography (EEG) and magnetoencephalography (MEG) experiments with stimulation rates ranging from 0.5 to 8Hz. In both studies, a transition from a transient to a continuous steady-state representation of the tone sequence occurred near 2Hz. In addition, an N1m component of the transient responses disappeared at rates near 8Hz, which may indicate the border beyond which tones are no longer distinct since the response is known to be an index of novelty in the auditory environment. Moreover, in a result important for understanding how evoked activity interacts with activity already present in the cortex, the phase of ongoing 40Hz rhythms is shown to affect the amplitude of the auditory evoked 40Hz response. Rhythmic finger movement was studied using a continuation paradigm in two EEG and MEG experiments at movement rates from 0.5 to 2.5Hz. Major findings included the disappearance of activity associated with movement planning and initiation at rates above 1Hz, suggesting a transition into a steady-state motor response in which there is less direct control of individual movements by the cortex. In addition, the neural correlates of synchronization and continuation were compared, with the results showing a similar cortical organization of metronome-paced and self-paced movements. The attenuation of major response components and the development of continuous steady-state activity within the present parameter ranges indicate rate-dependent changes in the cortical representation of simple rhythms, which are proposed here to relate to known rate-dependent behavioral differences in more complex coordinative environments.
Show less - Date Issued
- 2003
- PURL
- http://purl.flvc.org/fcla/dt/12040
- Subject Headings
- Electrophysiology, Auditory evoked response, Electroencephalography
- Format
- Document (PDF)
- Title
- Functional stabilization of unstable systems.
- Creator
- Foo, Patrick Stephen, Florida Atlantic University, Kelso, J. A. Scott
- Abstract/Description
-
Humans are often faced with tasks that require stabilizing inherently unstable situations. We performed four experiments to explore the nature of functional stabilization. In Experiment 1 participants balanced a pole until a time criterion was reached. The geometry, mass, and characteristic "fall time" of the pole were manipulated. Distributions of timing between pole and hand velocities showed strong action-perception coupling. When actions demonstrated a potential for failure, the period of...
Show moreHumans are often faced with tasks that require stabilizing inherently unstable situations. We performed four experiments to explore the nature of functional stabilization. In Experiment 1 participants balanced a pole until a time criterion was reached. The geometry, mass, and characteristic "fall time" of the pole were manipulated. Distributions of timing between pole and hand velocities showed strong action-perception coupling. When actions demonstrated a potential for failure, the period of hand oscillation correlated significantly with the "time to balance" (t bal=theta/theta.), where q is pole angle re: the vertical balance point, but not other quantities such as theta and theta. alone. This suggested that participants were attending to available t bal information during critical situations. In a model analysis and simulation, we demonstrated how discrete t bal information may be used to adjust the parameters of a controller to perform this task. In Experiment 2 participants balanced a virtual inverted pendulum under manipulations designed: (1) to decouple the mechanics of the system from its visual image; (2) to alter the mapping of perception and action; and (3) to perturb successful balancing. A replication of the correlation analysis of Experiment 1 revealed that across all conditions, significant relationships existed between visually specified t -variables and hand oscillation during critical motions of the pole. These results suggested that participants use the same t bal information to successfully stabilize both virtual and physical unstable systems, despite quite dramatic visual and mechanical transformations. In Experiments 3 and 4 we investigated how parts of the body, or individuals in a social dyad cooperate to perform a functional stabilization task. Participants balanced a pole either intermanually (using 2 separate hands) or interpersonally (2 persons each using their preferred right hand) until a time criterion was reached. Although the magnitudes of the forces exerted by each hand were different, an analysis of the timing of the forces revealed that intermanual (interpersonal) participants developed a consistent antiphase (inphase) coordination pattern. These different coordination patterns allowed for the recruitment of previously unavailable efferent and afferent connections to produce the net forces that served to stabilize the pole via theta. (see Experiment 1).
Show less - Date Issued
- 2000
- PURL
- http://purl.flvc.org/fcla/dt/12656
- Subject Headings
- Psychology, Experimental, Human mechanics
- Format
- Document (PDF)
- Title
- Neural Responses to Complex Auditory Rhythms: The Role of Attending.
- Creator
- Chapin, Heather L., Zanto, Theodore, Jantzen, Kelly J., Kelso, J. A. Scott, Steinberg, Fred, Large, Edward W.
- Date Issued
- 2010
- PURL
- http://purl.flvc.org/fau/fd/FAUIR000165
- Format
- Citation
- Title
- Theoretical and experimental studies of multisensory integration as a coupled dynamical system.
- Creator
- Assisi, Collins G., Florida Atlantic University, Kelso, J. A. Scott, Jirsa, Viktor K.
- Abstract/Description
-
Perception and behavior are mediated by a widely distributed network of brain areas. Our main concern is, how do the components of the network interact in order to give us a variety of complex coordinated behavior? We first define the nodes of the network, termed functional units, as a strongly coupled ensemble of non-identical neurons and demonstrate that the dynamics of such an ensemble may be approximated by a low dimensional set of equations. The dynamics is studied in two different...
Show morePerception and behavior are mediated by a widely distributed network of brain areas. Our main concern is, how do the components of the network interact in order to give us a variety of complex coordinated behavior? We first define the nodes of the network, termed functional units, as a strongly coupled ensemble of non-identical neurons and demonstrate that the dynamics of such an ensemble may be approximated by a low dimensional set of equations. The dynamics is studied in two different contexts, sensorimotor coordination and multisensory integration. First, we treat movement coupled to the environment as a driven functional unit. Our central hypothesis is that this coupling must be minimally parametric. We demonstrate the experimental validity of this hypothesis and propose a theoretical model that explains the results of our experiment. A second example of the dynamics of functional units is evident in the domain of multisensory integration. We employ a novel rhythmic multisensory paradigm designed to capture the temporal features of multisensory integration parametrically. The relevant parameters of our experiment are the inter-onset interval between pairs of rhythmically presented stimuli and the frequency of presentation. We partition the two dimensional parameter space using subjects perception of the stimulus sequence. The general features of the partitioning are modality independent suggesting that these features depend on the coupling between the unisensory subsystems. We develop a model with coupled functional units and suggest a candidate coupling scheme. In subsequent chapters we probe the neural correlates of multisensory integration using fMRI and EEG. The results of our fMRI experiment demonstrate that multisensory integration is mediated by a network consisting of primary sensory areas, inferior parietal lobule, prefrontal areas and the posterior midbrain. Different percepts lead to the recruitment of different areas and their disengagement for other percepts. In analyzing the EEG data, we first develop a mathematical framework that allows us to differentiate between sources activated for both unisensory and multisensory stimulation from those sources activated only for multisensory stimulation. Using this methodology we show that the influences of multisensory processing may be seen at an early (40--60 ms) stage of sensory processing.
Show less - Date Issued
- 2005
- PURL
- http://purl.flvc.org/fcla/dt/12167
- Subject Headings
- Intersensory effects, Perceptual-motor processes, Sensorimotor integration, Psychology, Comparative, Developmental neurobiology
- Format
- Document (PDF)