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Public Participation Research A01 (2010-2011)

Organization

Public Participation Research A01 (2010-2011)

A01K1

TITLE
Mathematical modeling of active touch -- understanding communication between neuronal activity and haptic motion
OBJECT
Active touch is the process of recognizing object by integrating information from neuronal activity and haptic motion. The purpose of this research project is to design mathematical model of active touch system, which actually precepts object’s presence and surface geometry, and understand the algorithm and communication between neuronal firing pattern and haptic motion.
  NAME AFFILIATION SPECIALTY ROLE
Leader YANAGITA, Tatsuo Osaka Electro-Communication University Nonlinear Science Modeling and Numerical simulations

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A01K2

TITLE
Understanding emergence and collapse of synchronous neuronal activity on the basis of correlation analysis between gene expression and cellular membrane dynamics
OBJECT
To model collective oscillation phenomena in neural circuits, populations consisting of one-dimensional phase-equation models have been used as one of standard models. However, less information of actual cells in the circuit is taken into account in such phase-equation models. In this study, we will aim to combine biophysical details and phase-equation models, by recording neuronal activity in brain slices. In addition, we will perform a correlation analysis between gene expression and cellular membrane dynamics.
  NAME AFFILIATION SPECIALTY ROLE
Leader TATENO, Takashi Osaka University Neurophysiology Research director

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A01K3

TITLE
Developing learning theory that enables organizing, understanding, and generating various dynamics
OBJECT
The purpose of this research is to establish a learning theory which enables (i) learning varisou dynamics, (ii) making vector quantization and interpolartion between given dynamics, and (iii) acquiring or self-organizing higher representation of them.
  NAME AFFILIATION SPECIALTY ROLE
Leader FURUKAWA, Tetsuo Kyushu Institute of Technology Neurocomputing - Establishing the multi-dynamics learning theory
- Developing algorithms based on the theory
Collaborator TOKUNAGA, Kazuhiro Kyushu Institute of Technology Neurocomputing Implementing and applying the algorithms

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A01K4

TITLE
A study on EEG synchronization dynamics by using visual flicker
OBJECT
Scalp EEG is a result of synchronization of a huge number of neural activities. EEG theta (4-8Hz) power is known to increase during successful memory encoding, while its functional contribution is not obvious. This study aims to elucidate the dynamics of the EEG synchronization during encoding by using visual flicker where induced EEG power by the flicker is expected to show the internal state of neural synchronization for successful memory encoding. A computational model of EEG synchronization is proposed based on the experimental data to evaluate functional contribution of the EEG synchronization.
  NAME AFFILIATION SPECIALTY ROLE
Leader SATO, Naoyuki Future University Hakodate Computational Neuroscience EEG experiments and computational modeling of EEG

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