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Toru Nishigami - One of the best experts on this subject based on the ideXlab platform.

  • 2009 special issue an artificial chaotic spiking neuron inspired by spiral ganglion cell paralleled spike encoding theoretical analysis and Electronic Circuit implementation
    Neural Networks, 2009
    Co-Authors: Hiroyuki Torikai, Toru Nishigami
    Abstract:

    A novel chaotic spiking neuron is presented and its nonlinear dynamics and encoding functions are analyzed. A set of paralleled N neurons accepts a common analog input and outputs a set of N chaotic spike-trains. Three theorems which guarantee that the neurons can encode the analog input into a summation of the N chaotic spike-trains are derived: (1) a spike histogram of the summed spike-train can mimic waveforms of various inputs, (2) the spike-trains do not synchronize to each other and thus the summed spike-train can have N times higher encoding resolution than each single spike-train, and (3) firing rates of the neurons can be adjusted by internal parameters. The theorems are proven by using nonlinear iterative maps and are confirmed by numerical simulations as well. Electronic Circuit implementation methods of the paralleled neurons are also presented and typical paralleled encoding functions are confirmed by both experimental measurements and SPICE simulations.

  • an artificial chaotic spiking neuron inspired by spiral ganglion cell paralleled spike encoding theoretical analysis and Electronic Circuit implementation
    International Joint Conference on Neural Network, 2009
    Co-Authors: Hiroyuki Torikai, Toru Nishigami
    Abstract:

    A novel chaotic spiking neuron is presented and its nonlinear dynamics and encoding functions are analyzed. A set of paralleled N neurons accepts a common analog input and outputs a set of N chaotic spike-trains. Three theorems which guarantee that the neurons can encode the analog input into a summation of the N chaotic spike-trains are derived: (1) a spike histogram of the summed spike-train can mimic waveforms of various inputs, (2) the spike-trains do not synchronize to each other and thus the summed spike-train can have N times higher encoding resolution than each single spike-train, and (3) firing rates of the neurons can be adjusted by internal parameters. The theorems are proven by using nonlinear iterative maps and are confirmed by numerical simulations as well. Electronic Circuit implementation methods of the paralleled neurons are also presented and typical paralleled encoding functions are confirmed by both experimental measurements and SPICE simulations.

Hiroyuki Torikai - One of the best experts on this subject based on the ideXlab platform.

  • 2009 special issue an artificial chaotic spiking neuron inspired by spiral ganglion cell paralleled spike encoding theoretical analysis and Electronic Circuit implementation
    Neural Networks, 2009
    Co-Authors: Hiroyuki Torikai, Toru Nishigami
    Abstract:

    A novel chaotic spiking neuron is presented and its nonlinear dynamics and encoding functions are analyzed. A set of paralleled N neurons accepts a common analog input and outputs a set of N chaotic spike-trains. Three theorems which guarantee that the neurons can encode the analog input into a summation of the N chaotic spike-trains are derived: (1) a spike histogram of the summed spike-train can mimic waveforms of various inputs, (2) the spike-trains do not synchronize to each other and thus the summed spike-train can have N times higher encoding resolution than each single spike-train, and (3) firing rates of the neurons can be adjusted by internal parameters. The theorems are proven by using nonlinear iterative maps and are confirmed by numerical simulations as well. Electronic Circuit implementation methods of the paralleled neurons are also presented and typical paralleled encoding functions are confirmed by both experimental measurements and SPICE simulations.

  • an artificial chaotic spiking neuron inspired by spiral ganglion cell paralleled spike encoding theoretical analysis and Electronic Circuit implementation
    International Joint Conference on Neural Network, 2009
    Co-Authors: Hiroyuki Torikai, Toru Nishigami
    Abstract:

    A novel chaotic spiking neuron is presented and its nonlinear dynamics and encoding functions are analyzed. A set of paralleled N neurons accepts a common analog input and outputs a set of N chaotic spike-trains. Three theorems which guarantee that the neurons can encode the analog input into a summation of the N chaotic spike-trains are derived: (1) a spike histogram of the summed spike-train can mimic waveforms of various inputs, (2) the spike-trains do not synchronize to each other and thus the summed spike-train can have N times higher encoding resolution than each single spike-train, and (3) firing rates of the neurons can be adjusted by internal parameters. The theorems are proven by using nonlinear iterative maps and are confirmed by numerical simulations as well. Electronic Circuit implementation methods of the paralleled neurons are also presented and typical paralleled encoding functions are confirmed by both experimental measurements and SPICE simulations.

Gi Seok Jeong - One of the best experts on this subject based on the ideXlab platform.

  • solderable and electroplatable flexible Electronic Circuit on a porous stretchable elastomer
    Nature Communications, 2012
    Co-Authors: Gi Seok Jeong, In Young Kim, Ha Chul Jung, Donghyu Aek, Ji Hoo Song, Jin Hee Moo, Suck Wo Hong, Sang Hoo Lee
    Abstract:

    The integration of flexible Electronics with conventional devices has been hampered by the lack of suitable soldering techniques able to withstand stretching. Jeong et al. use a porous substrate to fabricate biocompatible, stretchable Electronics that can be interfaced with commercial components.

  • Solderable and electroplatable flexible Electronic Circuit on a porous stretchable elastomer
    Nature Communications, 2012
    Co-Authors: Gi Seok Jeong, Jin Hee Moon, In Young Kim, Ji Hoon Song, Dong-hyun Baek, Suck Won Hong, Ha Chul Jung, Sang-hoon Lee
    Abstract:

    A variety of flexible and stretchable Electronics have been reported for use in flexible Electronic devices or biomedical applications. The practical and wider application of such flexible Electronics has been limited because commercial Electronic components are difficult to be directly integrated into flexible stretchable Electronics and electroplating is still challenging. Here, we propose a novel method for fabricating flexible and stretchable Electronic devices using a porous elastomeric substrate. Pressurized steam was applied to an uncured polydimethylsiloxane layer for the simple and cost-effective production of porous structure. An electroplated nickel anchor had a key role in bonding commercial Electronic components on elastomers by soldering techniques, and metals could be stably patterned and electroplated for practical uses. The proposed technology was applied to develop a plaster electrocardiogram dry electrode and multi-channel microelectrodes that could be used as a long-term wearable biosignal monitor and for brain signal monitoring, respectively.

Sang-hoon Lee - One of the best experts on this subject based on the ideXlab platform.

  • Solderable and electroplatable flexible Electronic Circuit on a porous stretchable elastomer
    Nature Communications, 2012
    Co-Authors: Gi Seok Jeong, Jin Hee Moon, In Young Kim, Ji Hoon Song, Dong-hyun Baek, Suck Won Hong, Ha Chul Jung, Sang-hoon Lee
    Abstract:

    A variety of flexible and stretchable Electronics have been reported for use in flexible Electronic devices or biomedical applications. The practical and wider application of such flexible Electronics has been limited because commercial Electronic components are difficult to be directly integrated into flexible stretchable Electronics and electroplating is still challenging. Here, we propose a novel method for fabricating flexible and stretchable Electronic devices using a porous elastomeric substrate. Pressurized steam was applied to an uncured polydimethylsiloxane layer for the simple and cost-effective production of porous structure. An electroplated nickel anchor had a key role in bonding commercial Electronic components on elastomers by soldering techniques, and metals could be stably patterned and electroplated for practical uses. The proposed technology was applied to develop a plaster electrocardiogram dry electrode and multi-channel microelectrodes that could be used as a long-term wearable biosignal monitor and for brain signal monitoring, respectively.

Sang Hoo Lee - One of the best experts on this subject based on the ideXlab platform.