Literature DB >> 25589568

Creating the brain and interacting with the brain: an integrated approach to understanding the brain.

Jun Morimoto1, Mitsuo Kawato2.   

Abstract

In the past two decades, brain science and robotics have made gigantic advances in their own fields, and their interactions have generated several interdisciplinary research fields. First, in the 'understanding the brain by creating the brain' approach, computational neuroscience models have been applied to many robotics problems. Second, such brain-motivated fields as cognitive robotics and developmental robotics have emerged as interdisciplinary areas among robotics, neuroscience and cognitive science with special emphasis on humanoid robots. Third, in brain-machine interface research, a brain and a robot are mutually connected within a closed loop. In this paper, we review the theoretical backgrounds of these three interdisciplinary fields and their recent progress. Then, we introduce recent efforts to reintegrate these research fields into a coherent perspective and propose a new direction that integrates brain science and robotics where the decoding of information from the brain, robot control based on the decoded information and multimodal feedback to the brain from the robot are carried out in real time and in a closed loop.
© 2015 The Author(s) Published by the Royal Society. All rights reserved.

Entities:  

Keywords:  computational neuroscience; exoskeleton robot; humanoid robot; motor learning; neurofeedback

Mesh:

Year:  2015        PMID: 25589568      PMCID: PMC4345490          DOI: 10.1098/rsif.2014.1250

Source DB:  PubMed          Journal:  J R Soc Interface        ISSN: 1742-5662            Impact factor:   4.118


  61 in total

1.  Real-time EEG analysis with subject-specific spatial patterns for a brain-computer interface (BCI).

Authors:  C Guger; H Ramoser; G Pfurtscheller
Journal:  IEEE Trans Rehabil Eng       Date:  2000-12

2.  Is imitation learning the route to humanoid robots?

Authors: 
Journal:  Trends Cogn Sci       Date:  1999-06       Impact factor: 20.229

3.  A Kendama Learning Robot Based on Bi-directional Theory.

Authors:  Mitsuo Kawato; Yasuhiro Wada; Eri Nakano; Rieko Osu; Yasuharu Koike; Hiroaki Gomi; Francesca Gandolfo; Stefan Schaal; Hiroyuki Miyamoto
Journal:  Neural Netw       Date:  1996-11

4.  'Thought'--control of functional electrical stimulation to restore hand grasp in a patient with tetraplegia.

Authors:  Gert Pfurtscheller; Gernot R Müller; Jörg Pfurtscheller; Hans Jürgen Gerner; Rüdiger Rupp
Journal:  Neurosci Lett       Date:  2003-11-06       Impact factor: 3.046

Review 5.  Brain-machine interfaces: past, present and future.

Authors:  Mikhail A Lebedev; Miguel A L Nicolelis
Journal:  Trends Neurosci       Date:  2006-07-21       Impact factor: 13.837

Review 6.  From 'understanding the brain by creating the brain' towards manipulative neuroscience.

Authors:  Mitsuo Kawato
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2008-06-27       Impact factor: 6.237

7.  Dissociable roles of ventral and dorsal striatum in instrumental conditioning.

Authors:  John O'Doherty; Peter Dayan; Johannes Schultz; Ralf Deichmann; Karl Friston; Raymond J Dolan
Journal:  Science       Date:  2004-04-16       Impact factor: 47.728

Review 8.  From spinal central pattern generators to cortical network: integrated BCI for walking rehabilitation.

Authors:  G Cheron; M Duvinage; C De Saedeleer; T Castermans; A Bengoetxea; M Petieau; K Seetharaman; T Hoellinger; B Dan; T Dutoit; F Sylos Labini; F Lacquaniti; Y Ivanenko
Journal:  Neural Plast       Date:  2012-01-04       Impact factor: 3.599

9.  Biological oscillations for learning walking coordination: dynamic recurrent neural network functionally models physiological central pattern generator.

Authors:  Thomas Hoellinger; Mathieu Petieau; Matthieu Duvinage; Thierry Castermans; Karthik Seetharaman; Ana-Maria Cebolla; Ana Bengoetxea; Yuri Ivanenko; Bernard Dan; Guy Cheron
Journal:  Front Comput Neurosci       Date:  2013-05-29       Impact factor: 2.380

10.  Orbitofrontal cortex neurofeedback produces lasting changes in contamination anxiety and resting-state connectivity.

Authors:  D Scheinost; T Stoica; J Saksa; X Papademetris; R T Constable; C Pittenger; M Hampson
Journal:  Transl Psychiatry       Date:  2013-04-30       Impact factor: 6.222

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  2 in total

Review 1.  A Review of Control Strategies in Closed-Loop Neuroprosthetic Systems.

Authors:  James Wright; Vaughan G Macefield; André van Schaik; Jonathan C Tapson
Journal:  Front Neurosci       Date:  2016-07-12       Impact factor: 4.677

Review 2.  Resting-State Functional Connectivity-Based Biomarkers and Functional MRI-Based Neurofeedback for Psychiatric Disorders: A Challenge for Developing Theranostic Biomarkers.

Authors:  Takashi Yamada; Ryu-Ichiro Hashimoto; Noriaki Yahata; Naho Ichikawa; Yujiro Yoshihara; Yasumasa Okamoto; Nobumasa Kato; Hidehiko Takahashi; Mitsuo Kawato
Journal:  Int J Neuropsychopharmacol       Date:  2017-10-01       Impact factor: 5.176

  2 in total

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