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
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!
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
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
2017.4 - current
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
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
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