Updated on 2026/09/19

写真a

 
PATASHOV, Dmitry
 
Affiliation
Faculty of Science and Engineering, Waseda Research Institute for Science and Engineering
Job title
Junior Researcher(Assistant Professor)
Degree
Ph.D. (Engineering) ( 2021.09 University of Tsukuba )

Research Experience

  • 2024.04
    -
    Now

    Waseda University   Waseda Research Institute for Science and Engineering   Researcher, Assistant Professor

  • 2022.07
    -
    2026.03

    RIKEN   Laboratory Molecular Mechanisms of Brain Development (Laboratory for Language Development)   Researcher   Visiting Researcher

  • 2022.04
    -
    2024.03

    Waseda University   Postdoctoral Researcher

Education Background

  • 2020.04
    -
    2021.09

    University of Tsukuba   Systems and Information Engineering   Ph.D. in Engineering  

  • 2019.10
    -
    2020.03

    University of Tsukuba   Research Student  

Committee Memberships

  • 2026.01
    -
    Now

    International Symposium on Brain Function and Cognition (ISBFC) 2026  Organizing Committee

  • 2025.01
    -
    2025.12

    International Symposium on Brain Function and Cognition (ISBFC) 2025  Organizing Committee

  • 2022.11
    -
    2025.07

    Holon Institute of Technology  Vice-Chairman of the Scientific Committee of McDAC

Research Areas

  • Neuroscience-general   Neuroimaging / Life, health and medical informatics   Neuroimaging

Research Interests

  • Algorithms Engineering

  • Processing and Analysis of Neuroimaging Data

  • Biomedical Data Processing and Analysis

  • Data Processing and Analysis

  • Signal Processing

Awards

  • Japanese Government (MEXT) Scholarship

    2019.10   Ministry of Education, Culture, Sports, Science and Technology  

    Winner： Dmitry Patashov

  • Magna Cum Laude (Graduated with Great Honor)

    2017.06   Holon Institute of Technology   B.Sc. in Electrical and Electronics Engineering

    Winner： Dmitry Patashov

  • Summa Cum Laude (Graduated with Highest Honor); Top score in class.

    2016.06   Holon Institute of Technology   B.Sc. in Applied Mathematics

    Winner： Dmitry Patashov

 

Papers

  • MEG Neural Decoding Pipeline: The Issues Residing Within The Data and Methods to Improve Your Decoding Accuracy

    Dmitry Patashov, Li Liu, Jion Tominaga, Kai Nakajima, Hiroki Miyanaga, Shoji Tsunematsu, Takanori Kato, Keita Tanaka, Hiromu Sakai

    Annals of Biomedical Engineering   54 ( 8 ) 2450 - 2468  2026.08

    Authorship：Lead author, Corresponding author

    DOI

    Scopus

  • fNIRS: Non-stationary preprocessing methods

    Dmitry Patashov, Yakir Menahem, Guy Gurevitch, Yoshinari Kameda, Dmitry Goldstein, Michal Balberg

    Biomedical Signal Processing and Control   79   104110 - 104110  2023.01

    Authorship：Lead author, Corresponding author

    DOI

    Scopus

    24
    Citation
    (Scopus)

  • fNIRS Artifact Removal Using Selective Mode Suppression

    Dmitry Patashov, Yakir Menahem, Yoshinari Kameda, Dmitry Goldstein, Michal Balberg

    Optica Biophotonics Congress 2026     JT4A.20 - JT4A.20  2026

    Authorship：Lead author, Corresponding author

    　View Summary

    Selective mode suppression is an algorithm that decomposes signals into intrinsic modes, examines each mode for presence of an artifact, and locally suppresses the artifact only within the affected modes. This procedure reduces the distortion of the wanted information while removing the artifact effects.

    DOI

  • Cross-Modality and Cross-Subject Decoding of Semantic Categories: Identifying Generalizable Neural Codes with Magnetoencephalography (MEG)

    Yakir Menahem, Dmitry Patashov, Kai Nakajima, Jion Tominaga, Keita Tanaka, Mana Tanifuji, Hiroki Miyanaga, Shoji Tsunematsu, Rieko Osu, Hiromu Sakai, Dmitry Goldstein

    The Institute of Electronics, Information and Communication Engineers   ( TL2025-12 )  2025.09

  • Preprocessing fNIRS data using the Cumulative Curve Fitting Approximation algorithm

    Patashov Dmitry, Menahem Yakir, Kameda Yoshinari, Goldstein Dmitry, Balberg Michal

    Biophotonics Congress: Biomedical Optics 2022 (Translational, Microscopy, OCT, OTS, BRAIN)     BM2C.7 - BM2C.7  2022

    Authorship：Lead author, Corresponding author

    DOI

  • fNIRS Artifact Removal Using Selective Source Separation

    Patashov Dmitry, Menahem Yakir, Kameda Yoshinari, Goldstein Dmitry, Balberg Michal

    Biophotonics Congress 2021     BF1B.2 - BF1B.2  2021

    Authorship：Lead author, Corresponding author

    　View Summary

    Selective source separation is applied to fNIRS signals, followed by targeted filtering of artifacts only within relevant sources. Then, the filtered signal is reconstructed from the filtered sources with minimal distortion and high fidelity.

    DOI

  • Methods for Gait Analysis During Obstacle Avoidance Task

    Dmitry Patashov, Yakir Menahem, Ohad Ben-Haim, Eran Gazit, Inbal Maidan, Anat Mirelman, Ronen Sosnik, Dmitry Goldstein, Jeffrey M. Hausdorff

    Annals of Biomedical Engineering   48 ( 2 ) 634 - 643  2020.02

    Authorship：Lead author, Corresponding author

    DOI

    Scopus

    7
    Citation
    (Scopus)

  • A new approach to quantifying the EEG during walking: Initial evidence of gait related potentials and their changes with aging and dual tasking

    I. Maidan, D. Patashov, S. Shustak, F. Fahoum, E. Gazit, B. Shapiro, A. Levy, R. Sosnik, N. Giladi, J.M. Hausdorff, A. Mirelman

    Experimental Gerontology   126   110709 - 110709  2019.10

    Authorship：Lead author

    DOI

    Scopus

    16
    Citation
    (Scopus)

  • Changes in event-related potentials during dual task walking in aging and Parkinson's disease

    Inbal Maidan, Firas Fahoum, Shiran Shustak, Eran Gazit, Dmitry Patashov, Dmitry Tchertov, Nir Giladi, Jeffrey M Hausdorff, Anat Mirelman

    Clinical Neurophysiology   130 ( 2 ) 224 - 230  2019.02

    DOI

    Scopus

    49
    Citation
    (Scopus)

  • Homologous Connectivity Maps Can Discriminate Diseased from Healthy Brains

    Dmitry Patashov, Dmitry Goldstein, Michal Balberg

    Biophotonics Congress: Optics in the Life Sciences Congress 2019 (BODA,BRAIN,NTM,OMA,OMP)     BW4A.3 - BW4A.3  2019

    Authorship：Lead author, Corresponding author

    DOI

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Works

  • MEG Picture Naming Task

    Dmitry Patashov, Li Liu, Jion Tominaga, Kai Nakajima, Hiroki Miyanaga, Shoji Tsunematsu, Takanori Kato, Keita Tanaka, Hiromu Sakai  Database science 

    2025.07
    -
    　

Presentations

  • fNIRS Artifact Removal Using Selective Mode Suppression

    Patashov Dmitry, Menahem Yakir, Kameda Yoshinari, Goldstein Dmitry, Balberg Michal

    Optica Biophotonics Congress 2026 

    Presentation date： 2026.04

  • Cross-Modality and Cross-Subject Decoding of Semantic Categories: Identifying Generalizable Neural Codes with Magnetoencephalography (MEG)

    Yakir MENAHEM, Dmitry PATASHOV, Kai NAKAJIMA, Jion TOMINAGA, Keita TANAKA, Mana TANIFUJI, Hiroki MIYANAGA, Shoji TSUNEMATSU, Rieko OSU, Hiromu SAKAI, Dmitry GOLDSTEIN

    ISBFC 2025; Neural Codes of Language and Action 

    Presentation date： 2025.09

  • Preprocessing fNIRS data using the Cumulative Curve Fitting Approximation algorithm

    Patashov Dmitry, Menahem Yakir, Kameda Yoshinari, Goldstein Dmitry, Balberg Michal

    BioMed 2022; Biophotonics Congress: Biomedical Optics 2022 

    Presentation date： 2022.04

  • Contextual Dynamics of Semantic Representations in the Human Brain

    Jion Tominaga, Dmitry Patashov, Mana Tanifuji, Shinji Nishimoto, Hiromu Sakai

    International Society for the Advancement of Clinical Magnetoencephalography 

    Presentation date： 2025.11

    Event date：
    2025.11
    　
    　

  • Context-dependent neural activities revealed by MEG responses to the blocked-cyclic picture-naming

    J. Tominaga, A. Miura, K. Nakajima, D. Patashov, M. Tanifuji, K. Tanaka, A. Tsukahara, Y. Miyanaga, S. Tsunematsu, T. Inoue, H. Sakai

    Presentation date： 2025.01

  • Spatiotemporal characteristics of semantic facilitation and interference: An MEG study using the cyclic picture-naming task

    Jion Tominaga, Atsushi Miura, Kai Nakajima, Dmitry Patashov, Manabu Tanifuji, Keita Tanaka, Akihiko Tsukahara, Hiroki Miyanaga, Shoji Tsunematsu, Takafumi Inoue, Hiromu Sakai

    SNL 2024; Society for the Neurobiology of Language 16th Annual Meeting 

    Presentation date： 2024.10

    Event date：
    2024.10
    　
    　

  • The Time Course for Access to Object and Category Semantic Representations

    Kai Nakajima, Jion Tominaga, Dmitry Patashov, Keita Tanaka, Mana Tanifuji, Hiroki Miyanaga, Shoji Tsunematsu, Rieko Osu, Hiromu Sakai

    Biomag 2024; 23rd International Conference on Biomagnetism 

    Presentation date： 2024.08

    Event date：
    2024.08
    　
    　

  • MEG Data Analysis for Cross-Modality Neural Decoding

    Yakir Menahem, Dmitry Patashov, Kai Nakajima, Jion Tominaga, Keita Tanaka, Mana Tanifuji, Hiroki Miyanaga, Shoji Tsunematsu, Rieko Osu, Hiromu Sakai, Dmitry Goldstein

    Biomag 2024; 23rd International Conference on Biomagnetism 

    Presentation date： 2024.08

    Event date：
    2024.08
    　
    　

  • Context Dependent Neural Representation of Objects: An MEG study using images

    J. Tominaga, K. Nakajima, D. Patashov, M. Tanifuji, K. Tanaka, A. Tsukahara, H. Miyanaga, S. Tsunematsu, T. Inoue, H. Sakai

    JBBS 2024; 39th Annual Meeting of the Japan Biomagnetism and Bioelectromagnetics Society 

    Presentation date： 2024.06

  • MEG Data Analysis Pipeline for Neural Decoding

    Patashov Dmitry, Sakai Hiromu

    JBBS 2024; 39th Annual Meeting of the Japan Biomagnetism and Bioelectromagnetics Society 

    Presentation date： 2024.06

  • Decoding pictures and words with MEG signals: Evidence for shared neural representation of semantic categories

    Kai Nakajima, Jion Tominaga, Dmitry Patashov, Keita Tanaka, Akihiko Tsukahara, Hiroki Miyanaga, Shoji Tsunematsu, Manabu Tanifuji, Rieko Osu, Hiromu Sakai

    SNL 2023; Society for the Neurobiology of Language, 15th Annual Meeting 

    Presentation date： 2023.10

    Event date：
    2023.10
    　
    　

  • Context dependent neural representations of semantic categories: An MEG study using images

    Jion Tominaga, Kai Nakajima, Dmitry Patashov, Keita Tanaka, Akihiko Tsukahara, Hiroki Miyanaga, Shoji Tsunematsu, Manabu Tanifuji, Hiromu Sakai

    SNL 2023; Society for the Neurobiology of Language, 15th Annual Meeting 

    Presentation date： 2023.10

    Event date：
    2023.10
    　
    　

  • Shared Neural Representations of Semantic Categories for Images and Words

    Kai NAKAJIMA, Jion TOMINAGA, Dmitry PATASHOV, Keita TANAKA, Akihiko TSUKAHARA, Hiroki MIYANAGA, Shoji TSUNEMATSU, Rieko OSU, Hiromu SAKAI

    IEICE 2023; The Institute of Electronics, Information and Communication Engineers, Thought and Language Research Group 

    Presentation date： 2023.10

  • Context dependent neural oscillations of semantic memory: An MEG study using images

    Jion TOMINAGA, Kai NAKAJIMA, Dmitry PATASHOV, Keita TANAKA, Akihiko TSUKAHARA, Hiroki MIYANAGA, Shoji TSUNEMATSU, Hiromu SAKAI

    IEICE 2023; The Institute of Electronics, Information and Communication Engineers, Thought and Language Research Group 

    Presentation date： 2023.10

  • Decoding Neural Representation of Language Using A Superconducting Self-Shield MEG

    Hiromu Sakai, Dmitry Patashov, Kai Nakajima, Jion Tominaga, Li Liu, Takanori Kato, Hiroki Miyanaga, Takashi Yamaguchi, Masashi Shinohara, Shoji Tsunematsu, Shunpei Mizutani, Akihiko Tsukahara, Keita Tanaka

    ISACM&JBBS 2023; 38th Annual Meeting of Japan Biomagnetism and Bioelectromagnetics Society 

    Presentation date： 2023.05

    Event date：
    2023.05
    　
    　

  • Dissociating Neural Basis of Predictive Processing in Language Comprehension using MEG

    Kai Nakajima, Yohei Oseki, Atsushi Matsumoto, Naho Orita, Michiru Makuuchi, Rieko Osu, Dmitry Patashov, Hiromu Sakai

    Biomag2022; The 22nd International Conference on Biomagnetism 

    Presentation date： 2022.09

    Event date：
    2022.09
    　
    　

  • Decoding Neural Representation of Words in Language Production from Magnetic Signals Measured by a Superconducting Self-Shield MEG

    Li Liu, Kai Nakajima, Keita Tanaka, Akihiko Tsukahara, Shoji Tsunematsu, Shohei Mizutani, Hiroki Miyanaga, Takashi Yamaguchi, Takanori Kato, Jion Tominaga, Hajime Mori, Shiki Toma, Noboru Murata, Dmitry Patashov, Hiromu Sakai

    Biomag2022; The 22nd International Conference on Biomagnetism 

    Presentation date： 2022.09

    Event date：
    2022.09
    　
    　

  • Detrending fNIRS Data Using the Cumulative Curve Fitting Approximation

    Patashov Dmitry, Menahem Yakir, Kameda Yoshinari, Goldstein Dmitry, Balberg Michal

    Virtual fNIRS 2021; Society of fNIRS Virtual Conference 2021 

    Presentation date： 2021.10

    Event date：
    2021.10
    　
    　

  • fNIRS Artifact Removal Using Selective Source Separation

    Patashov Dmitry, Menahem Yakir, Kameda Yoshinari, Goldstein Dmitry, Balberg Michal

    OSA Biophotonics Congress: Optics in the Life Sciences 2021 

    Presentation date： 2021.04

  • Artifact detection based on statistical properties

    Patashov Dmitry, Menahem Yakir, Kameda Yoshinari, Goldstein Dmitry, Balberg Michal

    fNIRS Datablitz 2020; The Society for functional Near Infrared Spectroscopy 

    Presentation date： 2020.10

    Event date：
    2020.10
    　
    　

  • The effects of dual tasking and aging on event related potential (ERP) components of gait cycle

    Inbal Maidan, Shiran Shustak, Dmitry Patashov, Eran Gazi, Boris Shapiro, Aviran Levy, Nir Giladi, Jeff Hausdorff, Anat Mirelman

    The International Society of Posture and Gait Research; ISPGR 

    Presentation date： 2019.07

    Event date：
    2019.07
    　
    　

  • Homologous Connectivity Maps Can Discriminate Diseased from Healthy Brains

    Dmitry Patashov, Dmitry Goldstein, Michal Balberg

    OSA Biophotonics Congress: Optics in the Life Sciences 2019 

    Presentation date： 2019.04

  • The effects of dual tasking and aging on event related potential (ERP) components of gait cycle

    Maidan I., Patashov D., Shustak S., Gazit E., Shapiro B., Levy A., Sosnik R., Giladi N., Hausdorff JM, Mirelman A.

    BrainTech 2019, 4th International Brain Technology Conference 

    Presentation date： 2019.03

    Event date：
    2019.03
    　
    　

  • Near Infrared Assessment of Brain Disease

    D.Patashov, Y.Menahem, G.Gurevitch, T.Handler, D.Goldstein, M.Balberg

    BrainTech 2019, 4th International Brain Technology Conference 

    Presentation date： 2019.03

    Event date：
    2019.03
    　
    　

  • fNIRS and fMRI Comparison in Healthy Subjects and Patients with Brain Disease

    D.Patashov, D.Tchertov, E.Tzdaka, Y.Zamir, G.Gurevitch, T.Handler, D.Goldstein, M.Balberg

    fNIRS 2018, Biennial meeting of the Society for fNIRS 

    Presentation date： 2018.10

    Event date：
    2018.10
    　
    　

  • Development of a method to identify walking pattern and performance in a virtual reality obstacle course

    Patashov Dmitry, Ben-Haim Ohad, Yakobi Shelly, Gazit Eran, Maidan Inbal, Mirelman Ana, Goldstein Dmitry, Hausdorff JM

    ISMBE 2016, Biomedical Engineering 2016 

    Presentation date： 2016.02

    Event date：
    2016.02
    　
    　

▼display all

Research Projects

  • Development of Processing and Analysis Methods for Biomedical Data

    Waseda Research Institute for Science and Engineering, Waseda University 

    Project Year :

    2026.04
    -
    2027.03
     

    Dmitry Patashov

  • Non-Stationary Methods for MEG and fNIRS data Analysis

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research

    Project Year :

    2025.04
    -
    2027.03
     

    Dmitry Patashov

  • Development of Processing and Analysis Methods for Biomedical Data

    Waseda Research Institute for Science and Engineering, Waseda University 

    Project Year :

    2025.04
    -
    2026.03
     

    Dmitry Patashov

  • Development of processing and analysis methods for Biomedical data

    Waseda Research Institute for Science and Engineering, Waseda University 

    Project Year :

    2024.04
    -
    2025.03
     

    Dmitry Patashov

Misc

  • Spectral projectors of temporally integrated functional brain networks

    Vladi Sorkin, Yakir Menahem, Dmitry Patashov, Michal Balberg, Dmitry Goldstein

       2026.03

    Internal/External technical report, pre-print, etc.  

    　View Summary

    Abstract

    Functional-connectivity matrices mix pairwise association strength, spectral weighting, and eigenspace orientation, making it difficult to determine which components carry stable information about network organization. We develop a spectral-geometric framework that uses rank- k orthogonal projector matrices as subject-level representations of functional operators. The projector preserves eigenspace orientation in measurement coordinates while removing relative eigen-value weighting. We further compare two noncommuting temporal constructions—projecting a temporally integrated operator and averaging projectors estimated from local operators— and examine how the resulting representations depend on temporal scale and retained rank. We demonstrate the framework in resting-state fNIRS recordings from 99 four-month-old infants exposed to monolingual or bilingual language environments. Pearson correlation favored temporal integration before projection and exhibited a localized intermediate-rank regime at shorter scales, whereas multitaper coherence favored projection before integration and showed a broader regime at longer scales. Reverse engineering of the Pearson representation showed that the intermediate-rank regime was carried primarily by angular relations among channel embeddings, whereas a secondary near-full-rank regime corresponded to a distinct bottom-of-spectrum channel-occupancy carrier. A fully nested two-rank analysis repeatedly retained both regimes. These results show that temporally integrated functional-network organization depends jointly on operator definition, temporal support, projection order, and retained rank. The framework provides an interpretable way to separate complementary spectral carriers of network structure, with group labels used only for cross-fitted validation rather than for representation construction.

    Key Points

    Rank- k spectral projectors provide an interpretable, basis-invariant representation of functional-network eigenspace geometry in the original measurement coordinates.

    Temporal integration and spectral projection are noncommuting operations, and their relative informativeness depends on the functional operator and temporal scale.

    Distinct retained-rank regimes reveal complementary geometric carriers of functional-network organization, including relational dominant-subspace structure and bottom-of-spectrum channel occupancy.

    DOI

 

Syllabus

Teaching Experience

  • Introduction to Algorithms Prototyping using Python

    Waseda University  

    2025.03
    -
    Now
     

  • Algorithms in Multimedia and Machine Learning using Python

    Holon Institute of Technology  

    2016.09
    -
    2019.09
     

  • Industrial Projects

    Holon Institute of Technology  

    2017.10
    -
    2019.09
     

  • Practical applications of Signal Processing

    Holon Institute of Technology  

    2017.10
    -
    2019.09
     

  • Complex Functions

    Holon Institute of Technology  

    2017.10
    -
    2018.09
     

  • Linear Algebra

    Holon Institute of Technology  

    2016.03
    -
    2018.09
     

  • Calculus

    Holon Institute of Technology  

    2016.03
    -
    2017.09
     

▼display all

 

Academic Activities

  • ISBFC 2026 – Insights into the Future of NeuroAI

    Competition, symposium, etc.

    Holon Institute of Technology  

    2026.01
    -
    Now

  • ISBFC 2025 – Neural Codes of Language and Action

    Competition, symposium, etc.

    Waseda University  

    2025.01
    -
    2025.12

  • PLOS ONE

    Peer review

  • Journal of NeuroEngineering and Rehabilitation

    Peer review

  • IEEE Transactions on Human-Machine Systems

    Peer review

Sub-affiliation

  • Faculty of Science and Engineering   Graduate School of Advanced Science and Engineering