• 4 IIT@UNIFE © 2016 IIT 4851
  • 1 IIT@UNIFE © 2016 IIT 4847
  • 8 IIT@UNIFE © 2016 IIT 4855
  • 2 IIT@UNIFE © 2016 IIT 4849
  • 7 IIT@UNIFE © 2016 IIT 4854

The aim of the Center for Translational Neurophysiology of Speech and Communication CTNSC@UniFe is twofold. On one side we are studying how the brain builds communicative and linguistic representations. On the other side we are designing new brain interfaces, specifically conceived for human use, to record and computationally decode neural signals. A particular focus of the Center is on communication because we believe that many paralyzing pathologies require, at first, the restoring of an efficient communicative flow between the patient and the environment.

To this purpose we are studying the way by which the brain processes and understands the communicative behaviors of other individuals in order to efficiently decode the brain signals related to communicative intentions, we are applying innovative and possibly biologically-compatible technologies to the problem of automatic speech and action recognition (Speech and Communication Team) and we are designing a new generation of brain electrodes characterized by reduced invasiveness, improved resolution and sensitivity (Neural Interfaces Team).

In summary, with a critical focus on translational methodologies (single unit recordings, Micro-ECoG, fMRI, EEG, TMS), our research goal is to advance knowledge on brain functioning to help building the next generation of brain-computer interfaces. The group research activities span from basic research to applied one along three main research lines:

  • Design of long-term and stable neural-tissue interfaces
  • Research on brain centers and circuits involved in action/speech understanding
  • Research on new efficient methods for automatic speech recognition

Collaborations with other National and international labs are fundamental. A particularly intense collaboration is running between CTNSC@UniFe and the Neurosurgery Unit of Udine Hospital (M. Skrap).

Laboratories

CTNSC@UniFe hosts state-of-the-art facilities for motion capture, neurophysiology, histology, cell culture, material science, electrochemical and electrical characterization.

  • Neuronavigated Transcranial Magnetic Stimulation, High density Electroencephalography, Eye-tracking, Optical Motion Tracking and ElectroMagnetic Articulography
  • Tethered and wireless multichannel neural recording and stimulation, Neuron Tracing Fluorescence Microscopy, Histology Sectioning Microtome, Primary Cells Culture facilities
  • Galvanostats/Potentiostats, Chemical Synthesis and Polymerization, High Resolution Optical Microscopy, LCR meter, Electrometer, Dual Source Meter

Research Lines

The aim of the research line in Multiscale Brain Communication, within the CTNSC@UniFe, is twofold. On one side we are studying how the brain builds communicative and linguistic representations. On the other side we are designing new brain interfaces, specifically conceived for human use, to record and computationally decode neural signals. A particular focus of our line is on communication because we believe that many paralyzing pathologies require, at first, the restoring of an efficient communicative flow between the patient and the environment.

Read more

Collaborations

 

  • Translational Neurophysiology on Humans – Miran Skrap - Neurochirurgia, Ospedale di Udine
  • Ultraflexible electrode arrays -  Guglielmo Fortunato – CNR-IMM - Roma
  • Glassy carbon electrode arrays - Sam Kassegne - San Diego State University - USA
  • Marmoset motor cortex mapping – Atsushi Iriki – RIKEN Brain Science Institute – Saitama – Japan
  • Action perception and motor control - Thierry Pozzo – CTNSC@IIT and INSERM - U1093 Cognition, Action, and Sensorimotor Plasticity, Dijon, France
  • Motor intention understanding - Cristina Becchio – RBCS@IIT and Università di Torino, Italy
  • Broca’s area contribution to action Sequencing – Etienne Olivier – Université Catholique de Louvain, Belgium
  • Neuroelectrical correlates of the action syntax - Daniela Sammler - Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
  • The shared syntax of action, music and language - Stefan Kölsch - University in Bergen, Norway
  • Language and action system interactions - Thomas Bever – University of Arizona, USA
  • Computational investigation of action primitives - Yiannis Aloimonos - University of Maryland, USA
  • The syntax of action, objects affordances and language - Katerina Pastra - Cognitive Systems Research Institute and Institute for Language and Speech Processing, Athens, Greece
  • Object affordances in humans and robots - Jose Santos-Victor - Instituto Superior Técnico, Institute of Systems and Robotics, Lisboa, Portugal
  • Motor contribution to speech perception - Nuria Sebastian Galles, Universitat Pompeu Fabra, Barcelona, Spain
  • The motor system in speech and language perception - Friedemann Pulvermüller - Institut für Deutsche und Niederländische Philologie, Berlin, Germany
  • Automatic speech recognition for robotics- Giorgio Metta – iCub@IIT
  • Articulatory automatic speech recognition and acoustic inversion – Raman Arora – Center for Language and Speech Processing, Johns Hopkins University
  • Machine learning techniques for automatic speech recognition – Lorenzo Rosasco – Laboratory for Computational and Statistical Learning, MIT/IIT
  • Goal-directed sensorimotor coordination in group interaction - Andrea Gaggioli and Giuseppe Riva – Università Cattolica di Milano and IRCCS Istituto Auxologico Italiano, Milano, Italy
  • Sensorimotor signaling - Giovanni Pezzulo - Institute of Cognitive Sciences and Technologies (ISTC-CNR), Roma
  • Recurrence quantification analyses of multi-agent behavior - Moreno Coco - University of Edinburgh, UK
  • Sensorimotor entrainment to musical ensembles - Gualtiero Volpe and Antonio Camurri – University of Genova
  • Complex social interaction in musical ensembles - Peter Keller - University of Western Sydney, Australia