The Experts below are selected from a list of 33 Experts worldwide ranked by ideXlab platform
Masafumi Hagiwara - One of the best experts on this subject based on the ideXlab platform.
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a Visual Nervous System based multi module neural network for object recognition
Systems Man and Cybernetics, 1998Co-Authors: T Tannai, Masafumi HagiwaraAbstract:Although most of the conventional Systems for object recognition have their own special targets, this paper gives a generic idea for a universal object recognition method. The proposed multi-module neural network (MMNN) is a hierarchical network with cascade connections, and consists of several modules which can detect specific features. MMNN is constructed based on the information processing of the Visual Nervous System such as a column structure in the Visual Area I and the hierarchical hypothesis of Hubel-Wiesel. As an example of a target object, we deal with human faces detection. This System consists of several modules in parallel which are trained to respond selectively to human face components: the eyes, the nose, and the mouth. Finally, the face area is detected by integrating the outputs of previous a cell layer. We carried out a lot of experiments using 100 images having complex background to conform the effectiveness of the proposed scheme. 83% of faces are detected correctly.
T Tannai - One of the best experts on this subject based on the ideXlab platform.
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a Visual Nervous System based multi module neural network for object recognition
Systems Man and Cybernetics, 1998Co-Authors: T Tannai, Masafumi HagiwaraAbstract:Although most of the conventional Systems for object recognition have their own special targets, this paper gives a generic idea for a universal object recognition method. The proposed multi-module neural network (MMNN) is a hierarchical network with cascade connections, and consists of several modules which can detect specific features. MMNN is constructed based on the information processing of the Visual Nervous System such as a column structure in the Visual Area I and the hierarchical hypothesis of Hubel-Wiesel. As an example of a target object, we deal with human faces detection. This System consists of several modules in parallel which are trained to respond selectively to human face components: the eyes, the nose, and the mouth. Finally, the face area is detected by integrating the outputs of previous a cell layer. We carried out a lot of experiments using 100 images having complex background to conform the effectiveness of the proposed scheme. 83% of faces are detected correctly.
Daniel Tomsic - One of the best experts on this subject based on the ideXlab platform.
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Binocular Visual integration in the crustacean Nervous System.
Journal of comparative physiology. A Neuroethology sensory neural and behavioral physiology, 2004Co-Authors: Julieta Sztarker, Daniel TomsicAbstract:Although the behavioral repertoire of crustaceans is largely guided by Visual information their Visual Nervous System has been little explored. In search for central mechanisms of Visual integration, this study was aimed at identifying and characterizing brain neurons in the crab involved in binocular Visual processing. The study was performed in the intact animal, by recording intracellularly the response to Visual stimuli of neurons from one of the two optic lobes. Identified neurons recorded from the medulla (second optic neuropil), which include sustaining neurons, dimming neurons, depolarizing and hyperpolarizing tonic neurons and on-off neurons, all presented exclusively monocular (ipsilateral) responses. In contrast, all wide field movement detector neurons recorded from the lobula (third optic neuropil) responded to moving stimuli presented to the ipsilateral and to the contralateral eye. In these cells, the responses evoked by ipsilateral or contralateral stimulation were almost identical, as revealed by analysing the number and amplitude of the elicited postsynaptic potentials and spikes, and the ability to habituate upon repeated Visual stimulation. The results demonstrate that in crustaceans important binocular processing takes place at the level of the lobula.
Tadmiri Venkatesh - One of the best experts on this subject based on the ideXlab platform.
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role of glia in the organization and function of the Visual Nervous System of drosophila
Developmental Biology, 2007Co-Authors: Rosa E Mino, Johanna Palacio, Margarita Kaplow, Jorge Morales, Peter M Oday, Tadmiri VenkateshAbstract:depends on activation of the tyrosine kinase receptor, Sevenless (Sev), in the R7. Prior to Sev signaling, Pros is equally expressed in all five R7 equivalence cells. Sev activation increases Pros expression specifically in the presumptive R7, suggesting that differences in Pros levels affect cell fate specification. Here, we tested whether changing Pros levels in the R7 equivalence group controls R7 vs. CC development. Indeed, genetic increase and/or decrease of pros leads to defects in the adult lens. Moreover, we found genetic interactors for Pros that affect lens formation, further supporting a dosedependent requirement for Pros during differentiation. Ongoing studies are aimed at examine how Pros controls the development and/or maintenance of the fly lens using a variety of molecular and morphological criteria. Interestingly, the vertebrate homologue of Pros, Prox1, has been shown to be important during lens development. Moreover, removal of one copy of mouse prox1 causes cataracts. Together, these data suggest that fly and vertebrate lens formation relies on evolutionarily conserved developmental pathways. Thus, we propose to use the fly eye as a new genetic System for uncovering fundamental processes necessary for vertebrate lens formation and maintenance. Support from Research Preventing Blindness and Ziegler Fdn for the Blind.
Julieta Sztarker - One of the best experts on this subject based on the ideXlab platform.
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Binocular Visual integration in the crustacean Nervous System.
Journal of comparative physiology. A Neuroethology sensory neural and behavioral physiology, 2004Co-Authors: Julieta Sztarker, Daniel TomsicAbstract:Although the behavioral repertoire of crustaceans is largely guided by Visual information their Visual Nervous System has been little explored. In search for central mechanisms of Visual integration, this study was aimed at identifying and characterizing brain neurons in the crab involved in binocular Visual processing. The study was performed in the intact animal, by recording intracellularly the response to Visual stimuli of neurons from one of the two optic lobes. Identified neurons recorded from the medulla (second optic neuropil), which include sustaining neurons, dimming neurons, depolarizing and hyperpolarizing tonic neurons and on-off neurons, all presented exclusively monocular (ipsilateral) responses. In contrast, all wide field movement detector neurons recorded from the lobula (third optic neuropil) responded to moving stimuli presented to the ipsilateral and to the contralateral eye. In these cells, the responses evoked by ipsilateral or contralateral stimulation were almost identical, as revealed by analysing the number and amplitude of the elicited postsynaptic potentials and spikes, and the ability to habituate upon repeated Visual stimulation. The results demonstrate that in crustaceans important binocular processing takes place at the level of the lobula.
