Author

Akio Ikeda

Kyoto UniversityORCID 0000-0002-0790-2598Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 7 Approach:statistical model· 6 Assay:electronic health records· 5 Research Focus:cell type annotation· 3 Research Focus:differential expression· 2 Research Focus:dimensionality reduction· 2 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1

Frequent Co-Authors

Riki MatsumotoiD· 6 shared Akihiro ShimotakeiD· 5 shared Matthew A. Lambon RalphiD· 5 shared Takayuki KikuchiiD· 5 shared Christopher Richard CoxiD· 4 shared Ryōsuke TakahashiiD· 4 shared Timothy Thomas RogersiD· 4 shared Susumu MiyamotoiD· 3 shared

Activity by Year

2020-2026 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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6 shared papersNeuroscience

Riki MatsumotoORCID

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Author profile →

7 papers

Recent·Most cited

Multidimensional semantic representations emerge from multi-frequency representational similarity learning

Saskia L Frisby, Christopher Richard Cox, Ajay D. Halai, Akihiro Shimotake, Takayuki Kikuchi, Katsuya Kobayashi, Takeharu Kuneida, Yoshiki Arakawa, Akio Ikeda, Riki Matsumoto, Timothy Thomas Rogers, Matthew A. Lambon Ralph

The paper uses representational similarity learning to show that multidimensional semantic information is encoded across multiple frequencies in human ventral anterior temporal lobe.

bioRxiv · Sep 25, 2026 · PreprintNeuroscience

Human frontal eye field and eyelid motor area revisited with electrical cortical stimulation and electrode co-registration

Tomoyuki Fumuro, Juan Carlos Bulacio, William E. Bingaman, Akio Ikeda, H. Shibasaki, Hans Otto Lüders, Dileep R Nair, Riki Matsumoto

The paper revisits the anatomical localization of the frontal eye field and eyelid motor area using electrical cortical stimulation and MRI co-registration in epilepsy patients.

bioRxiv · Mar 16, 2026 · PreprintNeuroscience

All spectral frequencies of neural activity reveal semantic representation in the human anterior ventral temporal cortex

Saskia L Frisby, Ajay D. Halai, Christopher Richard Cox, Alex Clarke, Akihiro Shimotake, Takayuki Kikuchi, Takeharu Kuneida, Yoshiki Arakawa, Ryōsuke Takahashi, Akio Ikeda, Riki Matsumoto, Timothy Thomas Rogers, Matthew A. Lambon Ralph

The paper decodes animacy from ECoG data in the human anterior ventral temporal cortex, finding that semantic information is encoded by local populations and interacts with distributed cortical regions.

Imaging Neuroscience · Jan 1, 2026Peer-reviewedNeuroscience

Representational similarity learning reveals a graded multi-dimensional semantic space in the human anterior temporal cortex

Christopher Richard Cox, Timothy Thomas Rogers, Akihiro Shimotake, Takayuki Kikuchi, Takeharu Kunieda, Susumu Miyamoto, Ryōsuke Takahashi, Riki Matsumoto, Akio Ikeda, Matthew A. Lambon Ralph

The paper uses representational similarity learning to decode a graded multidimensional semantic space in the human anterior temporal cortex from ECoG data.

Imaging Neuroscience · Feb 1, 2024Peer-reviewedNeuroscience

Evidence for a deep, distributed and dynamic semantic code in human ventral anterior temporal cortex

Timothy Thomas Rogers, Christopher Richard Cox, Qihong Lu, Akihiro Shimotake, Takayuki Kikuchi, Takeharu Kunieda, Susumu Miyamoto, Ryōsuke Takahashi, Akio Ikeda, Riki Matsumoto, Matthew A. Lambon Ralph

This study shows semantic information in human ventral anterior temporal cortex is dynamically distributed with stable and changing elements, supporting a hub-like role in semantic networks.

eLife · Oct 27, 2021Peer-reviewedNeuroscience

A taxonomy of seizure dynamotypes

Maria Luisa Saggio, Dakota N. Crisp, Jared M. Scott, Philippa J. Karoly, Levin Kuhlmann, Mitsuyoshi Nakatani, Tomohiko Murai, Matthias Dümpelmann, Andreas Schulze‐Bonhage, Akio Ikeda, Mark James Cook, S. Gliske, Jack J. Lin, Christophe Bernard, Viktor Jirsa, William C. Stacey

This paper introduces a taxonomy of seizure dynamotypes based on bifurcation theory and applies it to EEG data, identifying 16 dynamotypes and their variations across patients.

eLife · Jul 20, 2020Peer-reviewedNeuroscience

Connectivity Gradient in the Human Left Inferior Frontal Gyrus: Intraoperative Cortico-Cortical Evoked Potential Study

Takuro Nakae, Riki Matsumoto, Takeharu Kunieda, Yoshiki Arakawa, Katsuya Kobayashi, Akihiro Shimotake, Yukihiro Yamao, Takayuki Kikuchi, Toshihiko Aso, Masao Matsuhashi, Kazumichi Yoshida, Akio Ikeda, Ryōsuke Takahashi, Matthew A. Lambon Ralph, Susumu Miyamoto

This study uses intraoperative cortico-cortical evoked potentials to map connectivity gradients in the human left inferior frontal gyrus, revealing distinct connections between its subdivisions and temporal lobe regions.

Cerebral Cortex · Feb 25, 2020Peer-reviewedNeuroscience