Members

I obtained my PhD from the University of Tokyo in early 2021. During my doctoral studies, I developed a multi-compartmental dendritic neuron model for self-supervised detection of salient patterns in a continuous stream of information. Currently I am still working with patterns, but my focus has shifted to extraction and analysis of spike patterns from experimental data using flexible detection rules. I am also interested in the simulation and characterization of different spiking neuronal networks and brain criticality.

In my free time, I enjoy going to live music concerts and reading.

I started my postdoc at the Neural Coding and Brain Computing Unit in August of 2022. During my PhD I worked on biophysically realistic models of hippocampal microcircuits and how they can distinguish similar memories. My current research program is primarily about sequence generation and replay. It is known that some brain cells fire in a particular order during behavior and their sequence can be replayed later. I want to find out how replay can be used efficiently to learn new behaviors and tasks in spiking neuronal networks. In the future I also plan to branch out into neuromorphic computations and hardware.

In my free time I play video games, learn about climate change and about decarbonizing energy systems.

I have been postdoc at the NCBC unit since July 2023. I am interested in exploring the limits of the brain in storing memories, and how the brain generates new knowledge from existing memories. I joined the unit shortly after defending my PhD, which I obtained jointly from the Charles University in Prague and Sorbonne University in Paris. During my PhD, I used computational approaches to study the limits of information transmission by single neurons and neural networks, and also sensory signal processing by insect olfactory neurons. My previous background is in physics and mathematical and computational modeling therein.

In my free time I like to go snorkeling, bouldering, cook, bake... or just explore this beautiful island. I’m also dabbling in growing vegetables on my balcony and I’m excited to see if it turns into anything.

Greetings, adventurer. Yond which endues thee h're, hast hath brought me h're too. I joined this Research Unit in September 2019 as a PhD student. My research interests are straight-forward: what kind of computations underlie sensory perception and how cortical probabilistic computations endow us with conscious experience.

As an Electronic Engineer and former bio-engineering researcher at UTN.BA, I modelled cardiovascular dynamics and worked on the assessment of cardiovascular disease in humans. Now, my interests have shifted to biologically-inspired models of cortical circuits in the hopes of findings answers for the questions above.

However, in my free time, I enjoy climbing walls, playing basketball, jamming jazz tunes, and roleplaying Dungeons & Dragons.

After earning my master's in cognitive psychology from the National Research University HSE (Moscow, Russia) I worked at the Center for Bioelectric Interfaces, where I developed deep learning models for automatic audio content rating based on EEG. In 2020 I joined the NCBC because I believe that progress in AI and beyond depends on our understanding of how information is encoded and processed in biological neural circuits and on our ability to reverse engineer them.

I joined NCBC in Sep 2020 as a PhD student. My main interest is the interaction between hippocampus and several brain region that contributes to memory systems in human brain. To try this challenge, I learned information technology in bachelor at Chiba Univ and Computational neuroscience in master at Univ of Tokyo.

My current research is the modeling of the brain circuit for the memory function which reproduces the results of rodents experiment, with using neuroscience knowledge and machine learning technics.

My studies (Undegraduate and Master's) involved exclusively biology and neuroscience, with no computational aspects whatsoever. I developed an interest in computational neuroscience after some internships, and got fascinated with the possibilities offered by computational approaches (the absence of long and tedious experimental procedures and preparations is also a big plus). I am now a fully certified Computational Neuroscientist™. My research interests are now in the hippocampus, more specifically how place cells are involved in replay sequences, but I also am very curious about completely different branches of science and epistemology.

I completed my BSc in Mathematics and Physics at the University of Chicago in 2019 before coming to Japan and OIST, where I switched to Computational Neuroscience and have since joined the NCBC unit as a PhD student.

My current research involves investigating the role of inhibition in reservoir computing and working with the successor representation to describe the hippocampus. Other current research interests include analytic explorations of the information bottleneck and chunking in the brain.