Author

Hiroaki Mano

Center for Information and Neural Networks

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Neuroscience· 4

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Approach:statistical model· 4 Organism:human· 3 Assay:imaging· 3 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Approach:deep learning· 1

Frequent Co-Authors

Ben SeymouriD· 4 shared Mitsuo KawatoiD· 3 shared Wako YoshidaiD· 3 shared Michael LeeiD· 2 shared Suyi ZhangiD· 2 shared Aya NakaeiD· 1 shared Christian SprengeriD· 1 shared Daniela M. de la Mora· 1 shared

Activity by Year

2018-2018 · peak 4/yr

Co-Author Collaboration Network

10 top collaborators · 26 mutual co-author links

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4 shared papersNeuroscience

Ben SeymourORCID

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4 papers

Recent·Most cited

Endogenous controllability of closed-loop brain-machine interfaces for pain.

Suyi Zhang, Wako Yoshida, Hiroaki Mano, Takufumi Yanagisawa, Kazuhisa Shibata, Mitsuo Kawato, Ben Seymour

This study demonstrates how endogenous brain processes influence the effectiveness of closed-loop brain-machine interfaces for pain management.

bioRxiv · Jul 16, 2018 · PreprintNeuroscience

Classification and characterisation of brain network changes in chronic back pain: a multicenter study.

Hiroaki Mano, Gopal K. Kotecha, Kenji Leibnitz, Takashi Matsubara, Aya Nakae, Nicholas Shenker, Masahiko Shibata, Valerie Voon, Wako Yoshida, Michael Lee, Toshio Yanagida, Mitsuo Kawato, Maria João Rosa, Ben Seymour

This study uses machine learning and deep learning to classify chronic back pain patients based on brain network patterns, finding consistent changes in network topology and modular reorganisation.

Wellcome Open Research · Mar 1, 2018Peer-reviewedNeuroscience

The Control of Tonic Pain by Active Relief Learning

Suyi Zhang, Hiroaki Mano, Michael Lee, Wako Yoshida, Mitsuo Kawato, Trevor William Robbins, Ben Seymour

This study identifies a central learning circuit that enables relief learning and modulates tonic pain levels through reinforcement learning and uncertainty signals.

eLife · Feb 26, 2018Peer-reviewedNeuroscience

Anterior cingulate cortex connectivity is associated with suppression of behavior in a rat model of chronic pain

Laurel S. Morris, Christian Sprenger, Ken Koda, Daniela M. de la Mora, Tomomi Yamada, Hiroaki Mano, Yuto Kashiwagi, Yoshichika Yoshioka, Yasuhide Morioka, Ben Seymour

The paper investigates ACC connectivity in rats with chronic pain and finds it correlates with reduced burrowing behavior, indicating a role in motivational suppression.

Brain and Neuroscience Advances · Jan 1, 2018Peer-reviewedNeuroscience