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Atsushi Aoyama

  • 44 Citations
  • 3 h-Index
20052018
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  • 2 Similar Profiles
Magnetoencephalography Medicine & Life Sciences
Audition Engineering & Materials Science
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Research Output 2005 2018

  • 44 Citations
  • 3 h-Index
  • 12 Article
  • 3 Conference contribution

A Method to Study Adaptation to Left-Right Reversed Audition

Aoyama, A., 2018 Oct 29, In : Journal of visualized experiments : JoVE. 140

Research output: Contribution to journal › Article

Audition
Hearing
Acoustic waves
Sound Localization
Neuroimaging
1 Citations

A wearable system for adaptation to left–right reversed audition tested in combination with magnetoencephalography

Aoyama, A. & Kuriki, S., 2017 Aug 1, In : Biomedical Engineering Letters. 7, 3, p. 205-213 9 p.

Research output: Contribution to journal › Article

Magnetoencephalography
Audition
Acoustic waves
Processing
Modulation

Parasympathetic activation enhanced by slow respiration modulates early auditory sensory gating

Aoyama, A., Shimura, Y., Ohmuta, T., Nomoto, Y. & Kawasumi, M., 2017, In : NeuroReport. 28, 17, p. 1150-1156 7 p.

Research output: Contribution to journal › Article

Sensory Gating
Respiration
Magnetoencephalography
Auditory Cortex
Arousal

Input response of neural network model with lognormally distributed synaptic weights

Nagano, Y., Karakida, R., Watanabe, N., Aoyama, A. & Okada, M., 2016 Jul 15, In : Journal of the Physical Society of Japan. 85, 7, 074001.

Research output: Contribution to journal › Article

spiking
neurons
microelectronics
stimuli
assemblies

Analysis of neural circuit for visual attention using lognormally distributed input

Nagano, Y., Watanabe, N. & Aoyama, A., 2014, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag, Vol. 8681 LNCS. p. 467-474 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8681 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Visual Attention
Neurons
Signal to noise ratio
Modulation
Neural networks