Rapid Recalibration of Peri-Personal Space: Psychophysical, Electrophysiological, and Neural Network Modeling Evidence.

Journal: Cerebral cortex (New York, N.Y. : 1991)
PMID:

Abstract

Interactions between individuals and the environment occur within the peri-personal space (PPS). The encoding of this space plastically adapts to bodily constraints and stimuli features. However, these remapping effects have not been demonstrated on an adaptive time-scale, trial-to-trial. Here, we test this idea first via a visuo-tactile reaction time (RT) paradigm in augmented reality where participants are asked to respond as fast as possible to touch, as visual objects approach them. Results demonstrate that RTs to touch are facilitated as a function of visual proximity, and the sigmoidal function describing this facilitation shifts closer to the body if the immediately precedent trial had indexed a smaller visuo-tactile disparity. Next, we derive the electroencephalographic correlates of PPS and demonstrate that this multisensory measure is equally shaped by recent sensory history. Finally, we demonstrate that a validated neural network model of PPS is able to account for the present results via a simple Hebbian plasticity rule. The present findings suggest that PPS encoding remaps on a very rapid time-scale and, more generally, that it is sensitive to sensory history, a key feature for any process contextualizing subsequent incoming sensory information (e.g., a Bayesian prior).

Authors

  • Jean-Paul Noel
    Neuroscience Graduate Program, Vanderbilt Brain Institute, Vanderbilt University Medical School, Vanderbilt University, Nashville, TN 37235, USA.
  • Tommaso Bertoni
    MySpace Lab, Department of Clinical Neurosciences, University Hospital of Lausanne, University of Lausanne, Lausanne CH-1011, Switzerland.
  • Emily Terrebonne
    Vanderbilt Brain Institute, Vanderbilt University Medical School, Vanderbilt University, Nashville, TN 37235, USA.
  • Elisa Pellencin
    Department of Psychology and Cognitive Science, University of Trento, Rovereto, Trento 38068, Italy.
  • Bruno Herbelin
    Laboratory of Cognitive Neuroscience, Brain Mind Institute, Ecole Polytechnique Federale de Lausanne, Lausanne CH-1015, Switzerland.
  • Carissa Cascio
    Vanderbilt Brain Institute, Vanderbilt University Medical School, Vanderbilt University, Nashville, TN 37235, USA.
  • Olaf Blanke
    Center for Neuroprosthetics, Swiss Federal Institute of Technology (EPFL), Geneva, Switzerland; Laboratory of Cognitive Neuroscience, Brain Mind Institute, Faculty of Life Sciences, Swiss Federal Institute of Technology (EPFL), Geneva, Switzerland; Department of Neurology, University Hospital of Geneva, Geneva, Switzerland. Electronic address: olaf.blanke@epfl.ch.
  • Elisa Magosso
    Department of Electrical, Electronic and Information Engineering, University of Bologna, Bologna, Italy.
  • Mark T Wallace
    Vanderbilt Brain Institute, Vanderbilt University Medical School, Vanderbilt University, Nashville, TN 37235, USA.
  • Andrea Serino
    MySpace Lab, Department of Clinical Neurosciences, University Hospital of Lausanne, University of Lausanne, Lausanne CH-1011, Switzerland.