Search Results - "Kamiji, Nilton L."

Identification of retinal ganglion cells and their projections involved in central transmission of information about upward and downward image motion by Yonehara, Keisuke, Ishikane, Hiroshi, Sakuta, Hiraki, Shintani, Takafumi, Nakamura-Yonehara, Kayo, Kamiji, Nilton L, Usui, Shiro, Noda, Masaharu

“…The direction of image motion is coded by direction-selective (DS) ganglion cells in the retina. Particularly, the ON DS ganglion cells project their axons…”
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PLATO: Data-oriented approach to collaborative large-scale brain system modeling by Kannon, Takayuki, Inagaki, Keiichiro, Kamiji, Nilton L., Makimura, Kouji, Usui, Shiro

“…The brain is a complex information processing system, which can be divided into sub-systems, such as the sensory organs, functional areas in the cortex, and…”
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Proton feedback mediates the cascade of color-opponent signals onto H3 horizontal cells in goldfish retina by Kamiji, Nilton L., Yamamoto, Kazunori, Hirasawa, Hajime, Yamada, Masahiro, Usui, Shiro, Kurokawa, Makoto

“…► Proton feedback contributes to color opponent signaling in fish horizontal cell (HC). ► Clamping the synaptic cleft pH by HEPES, a strong pH buffer,…”
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Building a model of the brain: from detailed connectivity maps to network organization by Shimoura, Renan Oliveira, Pena, Rodrigo F. O., Lima, Vinicius, Kamiji, Nilton L., Girardi-Schappo, Mauricio, Roque, Antonio C.

“…The field of computational modeling of the brain is advancing so rapidly that now it is possible to model large scale networks representing different brain…”
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A unified theory of E/I synaptic balance, quasicritical neuronal avalanches and asynchronous irregular spiking by Girardi-Schappo, Mauricio, Galera, Emilio F, Carvalho, Tawan T A, Brochini, Ludmila, Kamiji, Nilton L, Roque, Antonio C, Kinouchi, Osame

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Modeling and characterizing stochastic neurons based on in vitro voltage-dependent spike probability functions by Lima, Vinicius, Pena, Rodrigo F. O., Shimoura, Renan O., Kamiji, Nilton L., Ceballos, Cesar C., Borges, Fernando S., Higa, Guilherme S. V., De Pasquale, Roberto, Roque, Antonio C.

“…Neurons in the nervous system are submitted to distinct sources of noise, such as ionic-channel and synaptic noise, which introduces variability in their…”
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Granger causality in the frequency domain: derivation and applications by Lima, Vinicius, Dellajustina, Fernanda Jaiara, Shimoura, Renan O., Girardi-Schappo, Mauricio, Kamiji, Nilton L., Pena, Rodrigo F. O., Roque, Antonio C.

“…Abstract Physicists are starting to work in areas where noisy signal analysis is required. In these fields, such as Economics, Neuroscience, and Physics, the…”
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Modelos de redes de neurônios para o neocórtex e fenômenos emergentes observados by Shimoura, Renan O., Pena, Rodrigo F. O., Kamiji, Nilton L., Lima, Vinícius, Roque, Antonio C.

“…O córtex cerebral apresenta padrões específicos de atividade espontânea produzidos endogenamente. Esses estados são caracterizados com relação ao grau de…”
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Related Abstract Search for Neuro2010 by Usui, Shiro, Kamiji, Nilton L., Taniguchi, Tatsuki, Ueda, Naonori

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PLATO: Data-oriented approach to collaborative large-scale brain system modeling: Multi-Scale, Multi-Modal Neural Modeling and Simulation by KANNON, Takayuki, INAGAKI, Keiichiro, KAMIJI, Nilton L, MAKIMURA, Kouji, USUI, Shiro

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Proton negative feedback synapses through H2 to H3 horizontal cells via blue cones are much more suppressed than through H1 horizontal cells by HEPES and chromatic background light by Kamiji, Nilton L., Yamada, Masahiro, Yamamoto, Kazunori, Hirasawa, Hajime, Kurokawa, Makoto, Usui, Shiro

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A proton mediated feedback model of the retinal outer plexiform layer by Kamiji, Nilton L., Yamamoto, Kazunori, Yamada, Masahiro, Kurokawa, Makoto, Usui, Shiro

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HEPES suppresses feedback signal from horizontal cells to cones in carp retina by Yamada, Masahiro, Yamamoto, Kazunori, Kamiji, Nilton L., Hatano, Riho, Jouhou, Hiroshi, Usui, Shiro, Kaneko, Akimichi

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Granger causality in the frequency domain: derivation and applications by Lima, Vinicius, Dellajustina, Fernanda Jaiara, Shimoura, Renan O, Girardi-Schappo, Mauricio, Kamiji, Nilton L, Pena, Rodrigo F. O, Roque, Antonio C

“…Rev. Bras. Ensino F\'is. 42: e20200007 (2020) Physicists are starting to work in areas where noisy signal analysis is required. In these fields, such as…”
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Building a model of the brain: from detailed connectivity maps to network organization by Shimoura, Renan Oliveira, Pena, Rodrigo F. O, Lima, Vinicius, Kamiji, Nilton L, Girardi-Schappo, Mauricio, Roque, Antonio C

“…Eur. Phys. J. Spec. Top. (2021) The field of computational modeling of the brain is advancing so rapidly that now it is possible to model large scale networks…”
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Modeling and characterizing stochastic neurons based on in vitro voltage-dependent spike probability functions by Lima, Vinicius, Pena, Rodrigo F. O, Shimoura, Renan O, Kamiji, Nilton L, Ceballos, Cesar C, Borges, Fernando S, Higa, Guilherme S. V, de Pasquale, Roberto, Roque, Antonio C

“…Neurons in the nervous system are submitted to distinct sources of noise, such as ionic-channel and synaptic noise, which introduces variability in their…”
Get full text