The Brain & Neural Networks
Online ISSN : 1883-0455
Print ISSN : 1340-766X
ISSN-L : 1340-766X
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Volume 17, Issue 3
Displaying 1-12 of 12 articles from this issue
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  • [title in Japanese]
    [in Japanese], [in Japanese]
    2010 Volume 17 Issue 3 Pages 93-100
    Published: September 05, 2010
    Released on J-STAGE: October 21, 2010
    DOIhttps://doi.org/10.3902/jnns.17.93
    JOURNAL FREE ACCESS
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    [in Japanese]
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  • Function of Visual Area MT
    Hironori Kumano, Takanori Uka
    2010 Volume 17 Issue 3 Pages 101-111
    Published: September 05, 2010
    Released on J-STAGE: October 21, 2010
    DOIhttps://doi.org/10.3902/jnns.17.101
    JOURNAL FREE ACCESS
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    Studies using single-unit recording play a significant role in understanding the neural mechanisms of higher brain function such as perception and decision-making. The middle temporal visual area (MT) contains a rich concentration of motion direction- and binocular disparity-selective neurons, along with topographic maps for these features, making it a useful model system for studying the neural mechanisms underlying visual perception and visually guided behavior. Here we review recent cutting-edge research aimed at understanding the representation and processing of visual information by MT neurons, as well as the relationship between neural activity in MT and cognitive behavior.
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  • Heterogeneity in Population for Neural Representation
    Hirokazu Takahashi
    2010 Volume 17 Issue 3 Pages 112-123
    Published: September 05, 2010
    Released on J-STAGE: October 21, 2010
    DOIhttps://doi.org/10.3902/jnns.17.112
    JOURNAL FREE ACCESS
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    Heterogeneity of functional units for neural computation has been well documented at all the level of hierarchy from individual neurons to entire brain. This heterogeneity has been gained in an adaptive manner, which is far different from the design principle of artificially developed computer. In this review, we first introduce empirical proofs of multi-scale heterogeneity in the neural representation based on our information theoretical analyses in the auditory cortex of rats. Second, our decoding-based analyses investigate how various kinds of neuronal activities are orchestrated in the representation. In light of these results, we discuss about the significance of common characteristics in the sensory cortex, such as the heterogeneity, sparse coding and columnar organization, in terms of an adaptive strategy of neural representation.
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  • Multi-electrode Recording from Freely Behaving Animals and Spike Train Analysis
    Masami Tatsuno
    2010 Volume 17 Issue 3 Pages 124-138
    Published: September 05, 2010
    Released on J-STAGE: October 21, 2010
    DOIhttps://doi.org/10.3902/jnns.17.124
    JOURNAL FREE ACCESS
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