Special Issue "Brain like Computing, Communication and Machines"

Guest Editor
Dr. Anirban Bandyopadhyay
Surface Characterization group, Nano Characterization Unit, National Institute for Materials Science, 1-2-1 Sengen, Main Bldg, Room-815, Tsukuba 305-0047, Japan
Website: http://www.anirbanlab.co.nr/
E-Mail: anirban.bandyopadhyay@nims.go.jp
Phone: +81 29 859 2167
Fax: +81 29 859 2801
Interests: Information processing using molecular assembly similar to human brain; experimental understanding of consciousness using microtubules; development of nano brain to provide intelligence to molecular robots; use molecules for swarm intelligence; multi-agent robotics; mimicking neurons using molecules

Dear Colleagues,

In the early 20th century, the discovery of computers triggered by fundamental formulations of information theory and switches started a revolution that defines the current human civilization. In the early 21st century we expect another revolution when brain science will be understood and a movement will begin to implement those technologies and we have no doubt that Brain age machines will take over. Therefore, we welcome brain age machines to take over, the people who will play key role in this transformation to the new age, we invite them to this special issue and wish to carry out brain storming sessions in the articles on the paths of development. We plan to include those topics which are directly involved with this research of brain mimicking functionally, neurobiologically and outline of those projects which have undertaken this astronomical challenge. We will outline a road map of this century, how brain-like computing will advance forward. We will not remain confined in the domain of brain like computing, rather, we will try to find how many different research fields will be influenced by such activities. For example, materials science, electronics, robotics.

Dr. Anirban Bandyopadhyay
Guest Editor

Submission

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Takaaki Musha Article: Holographic View of the Brain Memory Mechanism Based on Evanescent Superluminal Photons Information 2012, 3(3), 344-350; doi:10.3390/info3030344 Received: 20 June 2012; in revised form: 3 August 2012 / Accepted: 7 August 2012 / Published: 17 August 2012 Show/Hide Abstract | Download PDF Full-text (262 KB) | Download XML Full-text Abstract: D. Pollen and M. Trachtenberg proposed the holographic brain theory to help explain the existence of photographic memories in some people. They suggested that such individuals had more vivid memories because they somehow could access a very large region of their memory holograms. Hameroff suggested in his paper that cylindrical neuronal microtubule cavities, or centrioles, function as waveguides for the evanescent photons for quantum signal processing. The supposition is that microtubular structures of the brain function as a coherent fiber bundle set used to store holographic images, as would a fiber-optic holographic system. In this paper, the author proposes that superluminal photons propagating inside the microtubules via evanescent waves could provide the access needed to record or retrieve a quantum coherent entangled holographic memory.

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Áurea R. Vasconcellos, Fabio Stucchi Vannucchi, Sérgio Mascarenhas and Roberto Luzzi Article: Fröhlich Condensate: Emergence of Synergetic Dissipative Structures in Information Processing Biological and Condensed Matter Systems Information 2012, 3(4), 601-620; doi:10.3390/info3040601 Received: 18 September 2012 / Accepted: 27 September 2012 / Published: 24 October 2012 Show/Hide Abstract | Download PDF Full-text (1054 KB) | Download XML Full-text Abstract: We consider the case of a peculiar complex behavior in open boson systems sufficiently away from equilibrium, having relevance in the functioning of information-processing biological and condensed matter systems. This is the so-called Fröhlich–Bose–Einstein condensation, a self-organizing-synergetic dissipative structure, a phenomenon apparently working in biological processes and present in several cases of systems of boson-like quasi-particles in condensed inorganic matter. Emphasis is centered on the quantum-mechanical-statistical irreversible thermodynamics of these open systems, and the informational characteristics of the phenomena.

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Teijiro Isokawa, Haruhiko Nishimura and Nobuyuki Matsui Article: Quaternionic Multilayer Perceptron with Local Analyticity Information 2012, 3(4), 756-770; doi:10.3390/info3040756 Received: 11 September 2012; in revised form: 13 November 2012 / Accepted: 20 November 2012 / Published: 28 November 2012 Show/Hide Abstract | Download PDF Full-text (155 KB) | Download XML Full-text Abstract: A multi-layered perceptron type neural network is presented and analyzed in this paper. All neuronal parameters such as input, output, action potential and connection weight are encoded by quaternions, which are a class of hypercomplex number system. Local analytic condition is imposed on the activation function in updating neurons’ states in order to construct learning algorithm for this network. An error back-propagation algorithm is introduced for modifying the connection weights of the network.

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