Employing TDMA Protocol in Neural Nanonetworks in Case of Neuron Specific Faults

Many neurodegenerative diseases arise from the malfunctioning neurons in the pathway where the signal is carried. In this paper, we propose neuron specific TDMA/multiplexing and demultiplexing mechanisms to convey the spikes of a receptor neuron over a neighboring path in case of an irreversible path fault existing in its original path. The multiplexing mechanism depends on neural delay box (NDB) which is composed of a relay unit and a buffering unit. The relay unit can be realized as a nanoelectronic device. The buffering unit can be implemented either via neural delay lines as employed in optical switching systems or via nanoelectronic delay lines, i.e., delay flip flops. Demultiplexing is realized by a demultiplexer unit according to the time slot assignment information. Besides, we propose the use of neural interfaces in the NDBs and the demultiplexer unit for detecting and stimulating the generation of spikes. The objective of the proposed mechanisms is to substitute a malfunctioning path, increase the number of spikes delivered and correctly deliver the spikes to the intended part of the somatosensory cortex. The results demonstrate that significant performance improvement on the successively delivered number of spikes is achievable when delay lines are employed as neural buffers in NDBs.

[1]  Partha Pratim Ray.  Channel Modeling of Human Somatosensory Nanonetwork: Body Discriminative Touch and Proprioception Perspective , 2014, ArXiv.

[2]  U. Windhorst,et al.  Electrical Activity of Individual Neurons in Situ: Extra- and Intracellular Recording , 1999 .

[3]  Ian F. Akyildiz,et al.  Nanonetworks: A new communication paradigm , 2008, Comput. Networks.

[4]  Ian F. Akyildiz,et al.  Molecular communication options for long range nanonetworks , 2009, Comput. Networks.

[5]  Tadashi Nakano,et al.  Molecular Communication , 2005 .

[6]  Ian F. Akyildiz,et al.  A new nanonetwork architecture using flagellated bacteria and catalytic nanomotors , 2010, IEEE Journal on Selected Areas in Communications.

[7]  Hakan Tezcan,et al.  Statistical multiplexing for neural nanonetworks in case of neuron specific faults , 2014, 2014 6th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT).

[8]  Jun Li,et al.  High efficient electrical stimulation of hippocampal slices with vertically aligned carbon nanofiber microbrush array , 2009, Biomedical microdevices.

[9]  Jitender S. Deogun,et al.  A novel fiber delay line buffering architecture for optical packet switching , 2003, GLOBECOM '03. IEEE Global Telecommunications Conference (IEEE Cat. No.03CH37489).

[10]  P. P. Ray.  Nano computer design based on intra body nanoscale neuro-spike communication: A nanonetwork paradigm , 2012, 2012 International Conference on Communications, Devices and Intelligent Systems (CODIS).

[11]  Sergi Abadal Cavallé.  Automata Modeling of Quorum Sensing for Nanocommunication Networks , 2010 .

[12]  Laura Galluccio,et al.  Characterization of molecular communications among implantable biomedical neuro-inspired nanodevices , 2013, Nano Commun. Networks.

[13]  Tatsuya Suda,et al.  A design of a molecular communication system for nanomachines using molecular motors , 2006, Fourth Annual IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOMW'06).

[14]  Kevin E Bennet,et al.  Carbon nanofiber electrode array for electrochemical detection of dopamine using fast scan cyclic voltammetry. , 2011, The Analyst.

[15]  Daniel A. Wagenaar,et al.  From : Advances in Network Electrophysiology Using Multi-Electrode Arrays , 2004 .

[16]  Charles M Lieber,et al.  Flexible electrical recording from cells using nanowire transistor arrays , 2009, Proceedings of the National Academy of Sciences.

[17]  Hakan Tezcan,et al.  Neural delay lines for TDMA based molecular communication in neural networks , 2012, 2012 IEEE International Conference on Communications (ICC).

[18]  M. Alexander,et al.  Principles of Neural Science , 1981 .

[19]  Tadashi Nakano,et al.  Information Transfer through Calcium Signaling , 2009, NanoNet.

[20]  M. Baudry,et al.  Advances in Network Electrophysiology , 2006 .

[21]  Tatsuya Suda,et al.  A Biochemically-Engineered Molecular Communication System , 2009 .

[22]  M. Prato,et al.  Carbon nanotube substrates boost neuronal electrical signaling. , 2005, Nano letters.

[23]  Chris Peterson,et al.  Unbounding the Future: The Nanotechnology Revolution , 1991 .

[24]  Bozhi Tian,et al.  Nanowire transistor arrays for mapping neural circuits in acute brain slices , 2010, Proceedings of the National Academy of Sciences.

[25]  Tatsuya Suda,et al.  Exploratory Research on Molecular Communication between Nanomachines , 2005 .

[26]  Nicholas G Hatsopoulos,et al.  The science of neural interface systems. , 2009, Annual review of neuroscience.

[27]  Gengfeng Zheng,et al.  Detection, Stimulation, and Inhibition of Neuronal Signals with High-Density Nanowire Transistor Arrays , 2006, Science.

[28]  Xueyan Zhao,et al.  A single carbon fiber microelectrode with branching carbon nanotubes for bioelectrochemical processes. , 2010, Biosensors & bioelectronics.

[29]  Vertically aligned carbon nanofiber neural chip for interfacing with neurological system , 2010, 2010 IEEE International Conference on Nano/Molecular Medicine and Engineering.

[30]  H. Markram,et al.  Interfacing Neurons with Carbon Nanotubes: Electrical Signal Transfer and Synaptic Stimulation in Cultured Brain Circuits , 2007, The Journal of Neuroscience.

[31]  Dmitri Botvich,et al.  Development of artificial neuronal networks for molecular communication , 2011, Nano Commun. Networks.

[32]  Laura Galluccio,et al.  Modeling signal propagation in nanomachine-to-neuron communications , 2011, Nano Commun. Networks.

[33]  Giuseppa Alfano,et al.  On Information Transmission Among Nanomachines , 2006, 2006 1st International Conference on Nano-Networks and Workshops.

[34]  Anthony N. Burkitt,et al.  A Review of the Integrate-and-fire Neuron Model: I. Homogeneous Synaptic Input , 2006, Biological Cybernetics.

[35]  Javier Macía,et al.  Synthetic protocell biology: from reproduction to computation , 2007, Philosophical Transactions of the Royal Society B: Biological Sciences.

[36]  C. Colby.  Neural Basis of Cognition , 2016 .

[37]  Håkan Johansson,et al.  Modern Techniques in Neuroscience Research , 1999, Springer Berlin Heidelberg.

[38]  Vladimir Mitin,et al.  Introduction to Nanoelectronics: Science, Nanotechnology, Engineering, and Applications , 2012 .

[39]  L. Abbott,et al.  Neural network dynamics. , 2005, Annual review of neuroscience.

[40]  N. F. de Rooij,et al.  High-density microelectrode arrays for electrophysiological activity imaging of neuronal networks , 2001, ICECS 2001. 8th IEEE International Conference on Electronics, Circuits and Systems (Cat. No.01EX483).

[41]  E. Perl,et al.  Myelinated afferent fibres innervating the primate skin and their response to noxious stimuli , 1968, The Journal of physiology.

[42]  Pietro Liò,et al.  Opportunistic routing through conjugation in bacteria communication nanonetwork , 2012, Nano Commun. Networks.

[43]  J. Gordon,et al.  Pareto process as a model of self-similar packet traffic , 1995, Proceedings of GLOBECOM '95.

[44]  T. Suda,et al.  Molecular communication for nanomachines using intercellular calcium signaling , 2005, 5th IEEE Conference on Nanotechnology, 2005..

[45]  Brian L. Mark,et al.  Performance modeling of optical-burst switching with fiber delay lines , 2004, IEEE Transactions on Communications.

[46]  Lei Xie,et al.  Carbon-nanofibers-based micro-/nanodevices for neural-electrical and neural-chemical interfaces , 2012 .