Interactive site · Paper companion
Play with the model in your browser: turn the noise knob, watch the rare events come out right. Also in Chinese and Japanese.
Poster · NEURO2026
Poster 3P-465 at Japan's biggest neuroscience meeting. Try the model yourself on the companion site.
Poster · IRCN–NTU Joint Symposium
An early version of the noise-and-rare-events story, shown on the IRCN trip to NTU.
Talk & Poster · IRCN Retreat
Talk and poster at the annual retreat: a reservoir plus Hebbian prototypes for robust vision.
Poster · Photonic Computing Symposium
Poster with the Vargas lab on self-organizing dynamics for photonic reservoirs.
Talk · AICCC 2022
My first conference talk, on how SyncMap organizes itself over space and time. Certificate included.
Bio-inspired systems for complex sequential learning using self-organization and nonlinear dynamics. Enables adaptive learning without backpropagation.
Unsupervised image segmentation systems that maintain performance under severe noise and corruption, mimicking human visual perception.
Biologically-inspired algorithm for real-time adaptation to distribution shifts using tree-based mapping structures.
Bio-inspired sparse recurrent neural networks leveraging high-dimensional dynamics for temporal and spatial processing.
BCPNN-based attractor networks for rare-event learning in temporal data streams with modular hypercolumn architecture.
Preprint
Neural Noise Enables Accurate Internal Simulation of Rare Events
arXiv preprint arXiv:2609.18033 (q-bio.NC), September 2026
Conference
RECAP: Local Hebbian Prototype Learning as a Self-Organizing Readout for Reservoir Dynamics
2026 9th Artificial Intelligence and Cloud Computing Conference (AICCC), ACM, Tokyo, December 18-19, 2026
Under Review
SyncMapV2: Robust and Adaptive Unsupervised Segmentation
IEEE Trans. Pattern Analysis and Machine Intelligence, 2026
Under Review
Adapting to Covariate Shift in Real-time by Encoding Trees with Motion Equations
In Submission, 2025
Conference
Sketch Generation with Reservoir Computing trained by Evolutionary Computation
IPSJ 86th National Convention (情報処理学会第86回全国大会), Kanagawa University, Yokohama, March 2024
Journal Article
Symmetrical SyncMap for imbalanced general chunking problems
Physica D: Nonlinear Phenomena (Top 6%/9% in Mathematics/Nonlinear Dynamics), IF: 3.7, 2023
Journal Article
Magnum: Tackling high-dimensional structures with self-organization
Neurocomputing (Top 4%/7% in Cognitive Neuroscience/Computer Science), IF: 5.7, 2023
Review Article
A survey on reservoir computing and its interdisciplinary applications beyond traditional machine learning
IEEE Access (Top 8% in General Engineering), IF: 3.5, 2023 — 110+ citations
Conference
Understanding SyncMap's Dynamics and Its Self-organization Properties: A Space-time Analysis
5th Artificial Intelligence and Cloud Computing Conference (AICCC), Osaka, 2022
Conference
Comparison of Disturbance Rejection Performance between Three Types of UAV Linear Controllers
2020 7th International Conference on Information Science and Control Engineering (ICISCE), IEEE, 2020
Noise-Driven Internal Simulation Facilitates Learning of Low-Probability Events in Predictive Neural Networks
Internal Simulation with Noise and Rare Events
Noise-Enhanced Replay Facilitates Learning of Rare Event and Temporal Correlations in Brain-like Neural Network
Bio-inspired Hybrid Predictive Model for Robust Visual Scene Understanding
Introduction to Robust and Adaptive AI Paradigm
Spatial Relativity: Robust AI for Approximate Computing
Understanding SyncMap's Dynamics and Its Self-organization Properties: A Space-time Analysis
UTokyo Global Activity Support Program for Young Researchers • 2026–2027
WPI-IRCN Retreat Brainstorming Awards, UTokyo • 2025–2026
The Telecommunications Advancement Foundation • 2025–2026
JSPS, MEXT Grant-in-Aid for Transformative Research Areas (A) • 2022–2026
Leading Company • 2023–2025
JSPS, Grant in Aid for Challenging Research (Exploratory) • 2022–2023
Japan Science and Technology Agency (JST) • 2021–2024