The Experts below are selected from a list of 234 Experts worldwide ranked by ideXlab platform
Salvador Mafe - One of the best experts on this subject based on the ideXlab platform.
-
biologically inspired information processing and synchronization in ensembles of non identical Threshold Potential nanostructures
PLOS ONE, 2013Co-Authors: Javier Cervera, Jose A Manzanares, Salvador MafeAbstract:Nanotechnology produces basic structures that show a significant variability in their individual physical properties. This experimental fact may constitute a serious limitation for most applications requiring nominally identical building blocks. On the other hand, biological diversity is found in most natural systems. We show that reliable information processing can be achieved with heterogeneous groups of non-identical nanostructures by using some conceptual schemes characteristic of biological networks (diversity, frequency-based signal processing, rate and rank order coding, and synchronization). To this end, we simulate the integrated response of an ensemble of single-electron transistors (SET) whose individual Threshold Potentials show a high variability. A particular experimental realization of a SET is a metal nanoparticle-based transistor that mimics biological spiking synapses and can be modeled as an integrate-and-fire oscillator. The different shape and size distributions of nanoparticles inherent to the nanoscale fabrication procedures result in a significant variability in the Threshold Potentials of the SET. The statistical distributions of the nanoparticle physical parameters are characterized by experimental average and distribution width values. We consider simple but general information processing schemes to draw conclusions that should be of relevance for other Threshold-based nanostructures. Monte Carlo simulations show that ensembles of non-identical SET may show some advantages over ensembles of identical nanostructures concerning the processing of weak signals. The results obtained are also relevant for understanding the role of diversity in biophysical networks.
-
processing weak electrical signals with Threshold Potential nanostructures showing a high variability
Applied Physics Letters, 2011Co-Authors: Jose A Manzanares, Javier Cervera, Salvador MafeAbstract:We explore the processing of weak electrical signals in parallel arrays of bio-inspired Threshold nanostructures showing a high variability in their Threshold Potentials. We consider a two-state canonical model that incorporates the basic properties demonstrated experimentally. The model is inspired by the voltage-gated ion channels in biological membranes and shows that the nanostructure variability can allow significant transmission of sub-Threshold signals. Implications for the design of practical devices are briefly discussed.
Tom J. Kazmierski - One of the best experts on this subject based on the ideXlab platform.
-
A floating gate graphene FET complementary inverter with symmetrical transfer characteristics
2013 IEEE International Symposium on Circuits and Systems (ISCAS), 2013Co-Authors: Ime J. Umoh, Tom J. KazmierskiAbstract:This paper presents the concept of a bilayer graphene transistor using a floating gate to achieve the necessary Threshold Potential required for symmetrical transfer characteristics in complementary inverters. Using the charge injected into the floating-gate, the Threshold voltage of the channel can be controlled. The control of the channel's electrostatic doping using a floating-gate is exploited to simulate an inverter which shows a symmetrical transfer characteristic centred at an input voltage of Vdd/2.
-
ISCAS - A floating gate graphene FET complementary inverter with symmetrical transfer characteristics
2013 IEEE International Symposium on Circuits and Systems (ISCAS2013), 2013Co-Authors: Ime J. Umoh, Tom J. KazmierskiAbstract:This paper presents the concept of a bilayer graphene transistor using a floating gate to achieve the necessary Threshold Potential required for symmetrical transfer characteristics in complementary inverters. Using the charge injected into the floating-gate, the Threshold voltage of the channel can be controlled. The control of the channel's electrostatic doping using a floating-gate is exploited to simulate an inverter which shows a symmetrical transfer characteristic centred at an input voltage of Vdd/2.
Jose A Manzanares - One of the best experts on this subject based on the ideXlab platform.
-
biologically inspired information processing and synchronization in ensembles of non identical Threshold Potential nanostructures
PLOS ONE, 2013Co-Authors: Javier Cervera, Jose A Manzanares, Salvador MafeAbstract:Nanotechnology produces basic structures that show a significant variability in their individual physical properties. This experimental fact may constitute a serious limitation for most applications requiring nominally identical building blocks. On the other hand, biological diversity is found in most natural systems. We show that reliable information processing can be achieved with heterogeneous groups of non-identical nanostructures by using some conceptual schemes characteristic of biological networks (diversity, frequency-based signal processing, rate and rank order coding, and synchronization). To this end, we simulate the integrated response of an ensemble of single-electron transistors (SET) whose individual Threshold Potentials show a high variability. A particular experimental realization of a SET is a metal nanoparticle-based transistor that mimics biological spiking synapses and can be modeled as an integrate-and-fire oscillator. The different shape and size distributions of nanoparticles inherent to the nanoscale fabrication procedures result in a significant variability in the Threshold Potentials of the SET. The statistical distributions of the nanoparticle physical parameters are characterized by experimental average and distribution width values. We consider simple but general information processing schemes to draw conclusions that should be of relevance for other Threshold-based nanostructures. Monte Carlo simulations show that ensembles of non-identical SET may show some advantages over ensembles of identical nanostructures concerning the processing of weak signals. The results obtained are also relevant for understanding the role of diversity in biophysical networks.
-
processing weak electrical signals with Threshold Potential nanostructures showing a high variability
Applied Physics Letters, 2011Co-Authors: Jose A Manzanares, Javier Cervera, Salvador MafeAbstract:We explore the processing of weak electrical signals in parallel arrays of bio-inspired Threshold nanostructures showing a high variability in their Threshold Potentials. We consider a two-state canonical model that incorporates the basic properties demonstrated experimentally. The model is inspired by the voltage-gated ion channels in biological membranes and shows that the nanostructure variability can allow significant transmission of sub-Threshold signals. Implications for the design of practical devices are briefly discussed.
Ime J. Umoh - One of the best experts on this subject based on the ideXlab platform.
-
A floating gate graphene FET complementary inverter with symmetrical transfer characteristics
2013 IEEE International Symposium on Circuits and Systems (ISCAS), 2013Co-Authors: Ime J. Umoh, Tom J. KazmierskiAbstract:This paper presents the concept of a bilayer graphene transistor using a floating gate to achieve the necessary Threshold Potential required for symmetrical transfer characteristics in complementary inverters. Using the charge injected into the floating-gate, the Threshold voltage of the channel can be controlled. The control of the channel's electrostatic doping using a floating-gate is exploited to simulate an inverter which shows a symmetrical transfer characteristic centred at an input voltage of Vdd/2.
-
ISCAS - A floating gate graphene FET complementary inverter with symmetrical transfer characteristics
2013 IEEE International Symposium on Circuits and Systems (ISCAS2013), 2013Co-Authors: Ime J. Umoh, Tom J. KazmierskiAbstract:This paper presents the concept of a bilayer graphene transistor using a floating gate to achieve the necessary Threshold Potential required for symmetrical transfer characteristics in complementary inverters. Using the charge injected into the floating-gate, the Threshold voltage of the channel can be controlled. The control of the channel's electrostatic doping using a floating-gate is exploited to simulate an inverter which shows a symmetrical transfer characteristic centred at an input voltage of Vdd/2.
Javier Cervera - One of the best experts on this subject based on the ideXlab platform.
-
biologically inspired information processing and synchronization in ensembles of non identical Threshold Potential nanostructures
PLOS ONE, 2013Co-Authors: Javier Cervera, Jose A Manzanares, Salvador MafeAbstract:Nanotechnology produces basic structures that show a significant variability in their individual physical properties. This experimental fact may constitute a serious limitation for most applications requiring nominally identical building blocks. On the other hand, biological diversity is found in most natural systems. We show that reliable information processing can be achieved with heterogeneous groups of non-identical nanostructures by using some conceptual schemes characteristic of biological networks (diversity, frequency-based signal processing, rate and rank order coding, and synchronization). To this end, we simulate the integrated response of an ensemble of single-electron transistors (SET) whose individual Threshold Potentials show a high variability. A particular experimental realization of a SET is a metal nanoparticle-based transistor that mimics biological spiking synapses and can be modeled as an integrate-and-fire oscillator. The different shape and size distributions of nanoparticles inherent to the nanoscale fabrication procedures result in a significant variability in the Threshold Potentials of the SET. The statistical distributions of the nanoparticle physical parameters are characterized by experimental average and distribution width values. We consider simple but general information processing schemes to draw conclusions that should be of relevance for other Threshold-based nanostructures. Monte Carlo simulations show that ensembles of non-identical SET may show some advantages over ensembles of identical nanostructures concerning the processing of weak signals. The results obtained are also relevant for understanding the role of diversity in biophysical networks.
-
processing weak electrical signals with Threshold Potential nanostructures showing a high variability
Applied Physics Letters, 2011Co-Authors: Jose A Manzanares, Javier Cervera, Salvador MafeAbstract:We explore the processing of weak electrical signals in parallel arrays of bio-inspired Threshold nanostructures showing a high variability in their Threshold Potentials. We consider a two-state canonical model that incorporates the basic properties demonstrated experimentally. The model is inspired by the voltage-gated ion channels in biological membranes and shows that the nanostructure variability can allow significant transmission of sub-Threshold signals. Implications for the design of practical devices are briefly discussed.
