The Experts below are selected from a list of 1260 Experts worldwide ranked by ideXlab platform

Robert R. H. Anholt - One of the best experts on this subject based on the ideXlab platform.

  • Signal integration b the nervous system: adenylate cydases as molecular Coincidence detectors
    1994
    Co-Authors: Robert R. H. Anholt
    Abstract:

    Integrating multiple incoming messages simultaneously and discriminating 'meaningful' signals from spon- taneous neural activity represent central problems to the nervous system. One mechanism by which signal integration and signal-to-noise resolution are achieved is the formation of temporal Coincidence Circuits by interacting transduction pathways. Signal integration via temporal Coincidence detection is exemplified most readily by the way in which neural adenylate cyclases are regulated. This review will discuss the role of adenylate cyclases as Coincidence detectors in the nervous system with special focus on adenylate cyclase Orpe III, an isoenzyme that is found in large quantities in olfactory receptor neurons. The notion that olfactory transduction might also utilize an adenylate-cyclase- mediated temporal Coincidence circuit strengthens the idea that signal integration via temporal-Coincidence pathways is a universal feature of all neural adenylate cyclases.

  • Signal integration in the nervous system: adenylate cyclases as molecular Coincidence detectors
    Trends in neurosciences, 1994
    Co-Authors: Robert R. H. Anholt
    Abstract:

    Abstract Integrating multiple incoming messages simultaneously and discriminating ‘meaningful' signals from spontaneous neural activity represent central problems to the nervous system. One mechanism by which signal integration and signal-to-noise resolution are achieved is the formation of temporal Coincidence Circuits by interacting transduction pathways. Signal integration via temporal Coincidence detection is exemplified most readily by the way in which neural adenylate cyclases are regulated. This review will discuss the role of adenylate cyclases as Coincidence detectors in the nervous system with special focus on adenylate cyclase type III, an isoenzyme that is found in large quantities in olfactory receptor neurons. The notion that olfactory transduction might also utilize an adenylate-cyclase-mediated temporal Coincidence circuit strengthens the idea that signal integration via temporal-Coincidence pathways is a universal feature of all neural adenylate cyclases.

Savoy-navarro A. - One of the best experts on this subject based on the ideXlab platform.

  • First prototypes of two-tier avalanche pixel sensors for particle detection
    'Elsevier BV', 2017
    Co-Authors: Pancheri L., Collazuol G., Ficorella A., Morsani F., Ratti L., Brogi Paolo, Dalla Betta G. -f., Marrocchesi P. S., Savoy-navarro A.
    Abstract:

    In this paper, we present the implementation and preliminary evaluation of a new type of silicon sensor for charged particle detection operated in Geiger-Mode. The proposed device, formed by two vertically aligned pixel arrays, exploits the Coincidence between two simultaneous avalanche events to discriminate between particle-triggered detections and dark counts. A proof-of-concept two-layer sensor with per-pixel Coincidence Circuits was designed and fabricated in a 150 nm CMOS process and vertically integrated through bump bonding. The sensor includes a 48 x 16 pixel array with 50 mu m x 75 mu m pixels. This work describes the sensor architecture and reports a selection of results from the characterization of the avalanche detectors in the two layers. Detectors with an active area of 43 x 45 mu m(2) have a median dark count rate of 3 kHz at 3.3 V excess bias and a breakdown voltage non-uniformity lower than 20 mV. (C) 2016 Elsevier B.V. All rights reserved

  • First prototypes of two-tier avalanche pixel sensors for particle detection
    'Elsevier BV', 2016
    Co-Authors: Pancheri L., Brogi P., Collazuol G., Dalla Betta G.-f., Ficorella A., Marrocchesi P.s., Morsani F., Ratti L., Savoy-navarro A.
    Abstract:

    International audienceIn this paper, we present the implementation and preliminary evaluation of a new type of silicon sensor for charged particle detection operated in Geiger-mode. The proposed device, formed by two vertically-aligned pixel arrays, exploits the Coincidence between two simultaneous avalanche events to discriminate between particle-triggered detections and dark counts. A proof-of-concept two-layer sensor with per-pixel Coincidence Circuits was designed and fabricated in a 150 nm CMOS process and vertically integrated through bump bonding. The sensor includes a 48×16 pixel array with 50μm×75μm pixels. This work describes the sensor architecture and reports a selection of results from the characterization of the avalanche detectors in the two layers. Detectors with an active area of 43×45μm2 have a median dark count rate of 3 kHz at 3.3 V excess bias and a breakdown voltage non-uniformity lower than 20 mV

Darwish Al-azmi - One of the best experts on this subject based on the ideXlab platform.

  • Simplified slow anti-Coincidence circuit for Compton suppression systems.
    Applied radiation and isotopes : including data instrumentation and methods for use in agriculture industry and medicine, 2007
    Co-Authors: Darwish Al-azmi
    Abstract:

    Slow Coincidence Circuits for the anti-Coincidence measurements have been considered for use in Compton suppression technique. The simplified version of the slow circuit has been found to be fast enough, satisfactory and allows an easy system setup, particularly with the advantage of the automatic threshold setting of the low-level discrimination. A well-type NaI detector as the main detector surrounded by plastic guard detector has been arranged to investigate the performance of the Compton suppression spectrometer using the simplified slow circuit. The system has been tested to observe the improvement in the energy spectra for medium to high-energy gamma-ray photons from terrestrial and environmental samples.

Pancheri L. - One of the best experts on this subject based on the ideXlab platform.

  • First prototypes of two-tier avalanche pixel sensors for particle detection
    'Elsevier BV', 2017
    Co-Authors: Pancheri L., Collazuol G., Ficorella A., Morsani F., Ratti L., Brogi Paolo, Dalla Betta G. -f., Marrocchesi P. S., Savoy-navarro A.
    Abstract:

    In this paper, we present the implementation and preliminary evaluation of a new type of silicon sensor for charged particle detection operated in Geiger-Mode. The proposed device, formed by two vertically aligned pixel arrays, exploits the Coincidence between two simultaneous avalanche events to discriminate between particle-triggered detections and dark counts. A proof-of-concept two-layer sensor with per-pixel Coincidence Circuits was designed and fabricated in a 150 nm CMOS process and vertically integrated through bump bonding. The sensor includes a 48 x 16 pixel array with 50 mu m x 75 mu m pixels. This work describes the sensor architecture and reports a selection of results from the characterization of the avalanche detectors in the two layers. Detectors with an active area of 43 x 45 mu m(2) have a median dark count rate of 3 kHz at 3.3 V excess bias and a breakdown voltage non-uniformity lower than 20 mV. (C) 2016 Elsevier B.V. All rights reserved

  • First prototypes of two-tier avalanche pixel sensors for particle detection
    'Elsevier BV', 2016
    Co-Authors: Pancheri L., Brogi P., Collazuol G., Dalla Betta G.-f., Ficorella A., Marrocchesi P.s., Morsani F., Ratti L., Savoy-navarro A.
    Abstract:

    International audienceIn this paper, we present the implementation and preliminary evaluation of a new type of silicon sensor for charged particle detection operated in Geiger-mode. The proposed device, formed by two vertically-aligned pixel arrays, exploits the Coincidence between two simultaneous avalanche events to discriminate between particle-triggered detections and dark counts. A proof-of-concept two-layer sensor with per-pixel Coincidence Circuits was designed and fabricated in a 150 nm CMOS process and vertically integrated through bump bonding. The sensor includes a 48×16 pixel array with 50μm×75μm pixels. This work describes the sensor architecture and reports a selection of results from the characterization of the avalanche detectors in the two layers. Detectors with an active area of 43×45μm2 have a median dark count rate of 3 kHz at 3.3 V excess bias and a breakdown voltage non-uniformity lower than 20 mV

A. Savoy-navarro - One of the best experts on this subject based on the ideXlab platform.

  • First prototypes of two-tier avalanche pixel sensors for particle detection
    2016
    Co-Authors: L. Pancheri, P. Brogi, G. Collazuol, G.-f. Dalla Betta, A. Ficorella, P.s. Marrocchesi, F. Morsani, L. Ratti, A. Savoy-navarro
    Abstract:

    In this paper, we present the implementation and preliminary evaluation of a new type of silicon sensor for charged particle detection operated in Geiger-mode. The proposed device, formed by two vertically-aligned pixel arrays, exploits the Coincidence between two simultaneous avalanche events to discriminate between particle-triggered detections and dark counts. A proof-of-concept two-layer sensor with per-pixel Coincidence Circuits was designed and fabricated in a 150 nm CMOS process and vertically integrated through bump bonding. The sensor includes a 48×16 pixel array with 50μm×75μm pixels. This work describes the sensor architecture and reports a selection of results from the characterization of the avalanche detectors in the two layers. Detectors with an active area of 43×45μm2 have a median dark count rate of 3 kHz at 3.3 V excess bias and a breakdown voltage non-uniformity lower than 20 mV.