Zobrazeno 1 - 10
of 155
pro vyhledávání: '"Yukiyasu Kamitani"'
Autor:
Alan S. Cowen, Jeffrey A. Brooks, Gautam Prasad, Misato Tanaka, Yukiyasu Kamitani, Vladimir Kirilyuk, Krishna Somandepalli, Brendan Jou, Florian Schroff, Hartwig Adam, Disa Sauter, Xia Fang, Kunalan Manokara, Panagiotis Tzirakis, Moses Oh, Dacher Keltner
Publikováno v:
Frontiers in Psychology, Vol 15 (2024)
Core to understanding emotion are subjective experiences and their expression in facial behavior. Past studies have largely focused on six emotions and prototypical facial poses, reflecting limitations in scale and narrow assumptions about the variet
Externí odkaz:
https://doaj.org/article/79d78b7d101d4be9a26e28e16e0aeb23
Publikováno v:
NeuroImage, Vol 271, Iss , Pp 120007- (2023)
The sensory cortex is characterized by general organizational principles such as topography and hierarchy. However, measured brain activity given identical input exhibits substantially different patterns across individuals. Although anatomical and fu
Externí odkaz:
https://doaj.org/article/474e2d4621dc450ba7e3139e3470bd82
Autor:
Ryohei Fukuma, Takufumi Yanagisawa, Shinji Nishimoto, Hidenori Sugano, Kentaro Tamura, Shota Yamamoto, Yasushi Iimura, Yuya Fujita, Satoru Oshino, Naoki Tani, Naoko Koide–Majima, Yukiyasu Kamitani, Haruhiko Kishima
Publikováno v:
Communications Biology, Vol 5, Iss 1, Pp 1-15 (2022)
In this study, intracranial EEG recordings show that neural representations of imagined images can still be present in humans even when they are shown conflicting images.
Externí odkaz:
https://doaj.org/article/d362dddac909493785e814c89ef1dba7
Autor:
Tomoyasu Horikawa, Yukiyasu Kamitani
Publikováno v:
Communications Biology, Vol 5, Iss 1, Pp 1-12 (2022)
Horikawa and Kamitani investigate the effects of attention on visual image reconstructions from fMRI activity measured while human participants focus on one of two superimposed images. By reconstructing images from deep neural network features decode
Externí odkaz:
https://doaj.org/article/21a6f2d98514449e981bcf4945ffccdc
Peripheral blood metabolome predicts mood change-related activity in mouse model of bipolar disorder
Autor:
Hideo Hagihara, Tomoyasu Horikawa, Yasuhiro Irino, Hironori K. Nakamura, Juzoh Umemori, Hirotaka Shoji, Masaru Yoshida, Yukiyasu Kamitani, Tsuyoshi Miyakawa
Publikováno v:
Molecular Brain, Vol 12, Iss 1, Pp 1-10 (2019)
Abstract Bipolar disorder is a major mental illness characterized by severe swings in mood and activity levels which occur with variable amplitude and frequency. Attempts have been made to identify mood states and biological features associated with
Externí odkaz:
https://doaj.org/article/c19c7f28881c48b5a8c16e1d74e5fb89
Publikováno v:
iScience, Vol 24, Iss 9, Pp 103013- (2021)
Summary: Achievement of human-level image recognition by deep neural networks (DNNs) has spurred interest in whether and how DNNs are brain-like. Both DNNs and the visual cortex perform hierarchical processing, and correspondence has been shown betwe
Externí odkaz:
https://doaj.org/article/cf10b7704bed45bdbe7dba4ee5f39932
Publikováno v:
iScience, Vol 23, Iss 5, Pp - (2020)
Summary: Central to our subjective lives is the experience of different emotions. Recent behavioral work mapping emotional responses to 2,185 videos found that people experience upward of 27 distinct emotions occupying a high-dimensional space, and t
Externí odkaz:
https://doaj.org/article/0817767ddf5940d6b4ebcb8f43360fc3
Autor:
Tomoyasu Horikawa, Yukiyasu Kamitani
Publikováno v:
Nature Communications, Vol 8, Iss 1, Pp 1-15 (2017)
Machine learning algorithms can decode objects that people see or imagine from their brain activity. Here the authors present a predictive decoder combined with deep neural network representations that generalizes beyond the training set and correctl
Externí odkaz:
https://doaj.org/article/6ccae50a9ded47ada2c491896e3c5bb9
Autor:
Masashi Hasegawa, Kei Majima, Takahide Itokazu, Takakuni Maki, Urban-Raphael Albrecht, Nora Castner, Mariko Izumo, Kazuhiro Sohya, Tatsuo K. Sato, Yukiyasu Kamitani, Takashi R. Sato
Publikováno v:
Cell Reports, Vol 18, Iss 11, Pp 2676-2686 (2017)
Prepared movements are more efficient than those that are not prepared for. Although changes in cortical activity have been observed prior to a forthcoming action, the circuits involved in motor preparation remain unclear. Here, we use in vivo two-ph
Externí odkaz:
https://doaj.org/article/54c9f221992f4ed18f9850304e330fbd
Publikováno v:
Frontiers in Computational Neuroscience, Vol 13 (2019)
Deep neural networks (DNNs) have recently been applied successfully to brain decoding and image reconstruction from functional magnetic resonance imaging (fMRI) activity. However, direct training of a DNN with fMRI data is often avoided because the s
Externí odkaz:
https://doaj.org/article/676cfc37fb3a47cfb239e98103a7fdd2