Current Search: Sporns, Olaf (x)
-
-
Title
-
Reduced Variability of Ongoing and Evoked Cortical Activity Leads to Improved Behavioral Performance.
-
Creator
-
Ledberg, Anders, Montagnini, Anna, Coppola, Richard, Bressler, Steven L., Sporns, Olaf
-
Abstract/Description
-
Sensory responses of the brain are known to be highly variable, but the origin and functional relevance of this variability have long remained enigmatic. Using the variable foreperiod of a visual discrimination task to assess variability in the primate cerebral cortex, we report that visual evoked response variability is not only tied to variability in ongoing cortical activity, but also predicts mean response time. We used cortical local field potentials, simultaneously recorded from...
Show moreSensory responses of the brain are known to be highly variable, but the origin and functional relevance of this variability have long remained enigmatic. Using the variable foreperiod of a visual discrimination task to assess variability in the primate cerebral cortex, we report that visual evoked response variability is not only tied to variability in ongoing cortical activity, but also predicts mean response time. We used cortical local field potentials, simultaneously recorded from widespread cortical areas, to gauge both ongoing and visually evoked activity. Trial-to-trial variability of sensory evoked responses was strongly modulated by foreperiod duration and correlated both with the cortical variability before stimulus onset as well as with response times. In a separate set of experiments we probed the relation between small saccadic eye movements, foreperiod duration and manual response times. The rate of eye movements was modulated by foreperiod duration and eye position variability was positively correlated with response times. Our results indicate that when the time of a sensory stimulus is predictable, reduction in cortical variability before the stimulus can improve normal behavioral function that depends on the stimulus.
Show less
-
Date Issued
-
2012-08-24
-
PURL
-
http://purl.flvc.org/fau/fd/FAUIR000007
-
Format
-
Citation
-
-
Title
-
Measuring Granger Causality between Cortical Regions from Voxelwise fMRI BOLD Signals with LASSO.
-
Creator
-
Tang, Wei, Bressler, Steven L., Sylvester, Chad M., Shulman, Gordon L., Corbetta, Maurizio, Sporns, Olaf
-
Date Issued
-
2012-05-24
-
PURL
-
http://purl.flvc.org/fau/fd/FAUIR000095
-
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
