• Profile

    Hi, I'm Ayaka Kato (加藤 郁佳), a Ph.D. student at the University of Tokyo in Japan.

    I'm tacking the neural mechanism of the reward system. Besides, I'm also developing a novel database for computational psychiatry and conducting research on digital therapeutics for nicotine addiction.

     

    KEYWORDS: Neuroscience, Dopamine, Reinforcement learning, Digital therapeutics, Addiction, Computational Psychiatry, Open Science

     

    News

     

    May 2020, Our latest work published in JMIR mhealth and health https://mhealth.jmir.org/2020/5/e17270/

    We examined the efficacy of ascure smoking cessation program which combines online mentoring, OTC pharmacotherapy, and a smartphone app to address the problems of accessibility!

     

    April 2020, We developed a new database, CPSYMAP! https://ncnp-cpsy-rmap.web.app/

    The Computational Psychiatry Research Map (CPSYMAP) is a tool for visualizing research papers from computational psychiatry as a two-dimensional "map". Using this map, explore the distribution of papers along neuroscientific, psychiatric and computational dimensions!

  • Publication

    Google Scholar https://scholar.google.co.jp/citations?user=27OzVqAAAAAJ&hl=ja

     

    Kato A, Tanigawa T, Satake K, Nomura A (2020) Efficacy of the Ascure Smoking Cessation Program: Retrospective Study JMIR Mhealth Uhealth 2020;8(5):e17270

     

    Morita K & Kato A (2018) A Neural Circuit Mechanism for the Involvements of Dopamine in Effort-Related Choices: Decay of Learned Values, Secondary Effects of Depletion, and Calculation of Temporal Difference Error. eNeuro, ENEURO-0021.

     

    Kato A & Morita K (2016) Forgetting in Reinforcement Learning Links Sustained Dopamine Signals to Motivation. PLoS Comput Biol 12(10): e1005145. doi:10.1371/journal.pcbi.1005145

    Code: https://senselab.med.yale.edu/ModelDB/ShowModel.cshtml?model=195890#tabs-1

     

    Morita K and Kato A (2014) Striatal dopamine ramping may indicate flexible reinforcement learning with forgetting in the cortico-basal ganglia circuits. Front. Neural Circuits 8:36. doi: 10.3389/fncir.2014.0003

     

    Click the figures to access the papers via link

    Efficacy of the Ascure Smoking Cessation Program: Retrospective Study

    2020, JMIR Mhealth Uhealth

    A Neural Circuit Mechanism for the Involvements of Dopamine in Effort-Related Choices

    2018, eNeuro

    Forgetting in Reinforcement Learning Links Sustained Dopamine Signals to Motivation.

    2016, PLoS Comput Biol

    Striatal dopamine ramping may indicate flexible reinforcement learning with forgetting in the cortico-basal ganglia circuits. 

    2014, Front. Neural Circuits

  • CV

    latest update 2020.05.17

  • Education

    2017.4 - current

    • Ph.D. student, Department of Life Sciences, Graduate School of Arts and Sciences,

      The University of Tokyo

      Laboratory for Circuit Mechanisms of Sensory Perception @ RIKEN CBS

      Supervised by Dr. Hokto Kazama / Skills: Ca2+ imaging

    2017.9 - 2018.9

    • MSc in Neuroscience, Graduate Programme in Neuroscience,

      University of Oxford

      1st dissertation: Human TMS & MEG project - advisor: Dr. Matthew Rushworth

      2nd dissertation: Rodent dopamine juxtacellular recording project-advisor: Dr. Peter Magill

    2015.4 - 2017.3

    • MSc, Department of Biological Sciences, Graduate School of Science,

      The University of Tokyo advisor: Dr. Yasuo Ihara / Skills: MATLAB Programing, Multi-agent simulation, Genetic Algorism

    2011.4 - 2015.3

    • BSc, Department of Biological Sciences, School of Science,

      The University of Tokyo advisor: Dr. Takeo Kubo and Dr. Hideaki Takeuchi / Skills: Wavelet analysis, CRISPR-Cas9

  • Awards and Grants

    • Frist prize in the first whole brain architecture Hackathon in Tokyo (2015) “Curiosity based exploration using place cell”
    • Scholarship from Son-Masayoshi Foundation (2017-2021)
    • JSPS research fellow (DC2 2019.4-2021.3)

  • Presentations and invited talks

    Ayaka Kato, Tomoyuki Tanigawa, Kohta Satake, Akihiro Nomura EFFICACY OF THE NOVEL DIGITAL ASCURE SMOKING CESSATION PROGRAM COMBINING SMARTPHONE APP AND WEB BASED MENTORING Poster-> https://cureapp.institute/resource/img/pdf/SNRT_abstract.pdf
    Society for Research on Nicotine & Tobacco (SRNT) 25th Annual Meeting San Francisco, California USA, February 2019

     

    Kato A & Morita K Forgetting in reinforcement learning reconciles the two roles of dopamine: reward prediction error and motivational drive (633.06.)

    Society for neuroscience San Diego USA 11/2016

     

    Itoh T*, Ukita J*, Kato A* *Equal contribution Modeling the development of place cells in hippocampus.

    Annual International Conference on Biologically Inspired Cognitive Architectures Lyon France 11/2015

     

    Kato A & Morita K Potential mechanistic account for the suggested relationship between the ramping dopamine signal and sustained motivational drive: a study of reinforcement learning model.

    doi: 10.12751/nncn.bc2015.0095 Bernstein Conference Heidelberg Germany 09/2015

     

    Kato A & Morita K

    Exploring models of reinforcement learning to explain the ramping DA signal in the striatum.

    The 37th Annual Meeting of the Japan Neuroscience Society, Yokohama Japan 09/2014

  • Experiences

    2018.10 -

    Researcher -- CureApp Inc

    Project: Evaluating the efficacy of the Ascure Smoking Cessation Program

    Skills: R, Logistic regression, Academic writing

     

    2018.12 - 2019.3

    Research assistant - UTEC (Venture Capital)

     

    2018.2 - 2018.6

    Internship in R&D  sector -- Araya (Japanese startup) 

    Project: Exploratory research on how to utilize Phi-tool box https://figshare.com/articles/phi_toolbox_zip/3203326

    Skills: MATLAB, Analyzing Network

     

    2015.11  – 2016.3

    Internship in R&D  sector -- Colorful Board (Japanese startup) 

    Project: Visualizing user’s fashion preference for personalized recommendation system

    Skills: Python, Natural language processing (Word2Vec)

     

    2015.8 – 2016.2

    Hackathon winner -- Whole Brain Architecture Hackathon in Tokyo

    Project: Developing an agent exploring novel virtual space by self-localization and mapping

    Skills: Python, recurrent neural network (LSTM)

     

    2013.8  –  2018.2 

    Research Assistant -- University of Tokyo  (Supervisor: Dr. Kenji Morita)

    Project: Computational modeling of motivation as reinforcement learning with forgetting

    Skills: MATLAB Programing, Reinforcement learning, Nonlinear dynamics

  • Projects

    Click the icons to see the link related to the current projects I'm working on!

    PhD project in experimental neuroscience

    Research in digital therapeutics

    System design of the new database

  • Contact

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