BFBC 2026 - The 14th RIEC Int. Symp. on Brain Functions and Brain Computer2026

The 14th RIEC International Symposium on Brain Functions and Brain Computer

DATE:February 27-28, 2026

VENUE:Research Institute of Electrical Communication, Tohoku University, Sendai, Japan

BFBC

Awards

Best Poster Awards

Laia Barjuan Ballabriga (University of Barcelona, Spain):
A spiking neuron model for emulating collective dynamics in large modular neuronal cultures

Yuta Miyasaka (University of Tokyo, Japan):
Characterizations of nonlinear dynamics in spatially-varying spin waves and their relations to reservoir computing capacities

Tetsuta Sakai (Tohoku University, Japan):
An ultra-low power analog circuit implementation of spiking neural network using high-threshold voltage MOSFETs

Ryusei Sakakibara (Kyushu Institute of Technology, Japan):
A biologically inspired Pavlovian conditioning model enhanced with Kalman filtering for dopaminergic activity inference


Best Student Poster Awards

Xuankai Gao (Waseda University, Japan):
Tongue-like bioactuator for directional electrical responses

Masanao Iida (Nara Institute of Science and Technology, Japan):
RCO-ILS: A hardware-oriented parallel TSP algorithm using recursive clustering and open-loop ILS for edge computing

Taichi Nagasaki (Kyushu Institute of Technology, Japan):
Real-time hardware emulation of dynamic spike-code modulation in a thalamic lateral geniculate nucleus model

Masahiro Nakamura (Future University Hakodate, Japan):
Size of recurrent neural network changes learning strategies

Yuya Okada (University of Tokyo, Japan):
Decoupling non-linearity and high-dimensionality in reservoir computing

Mireia Olives-Verger (University of Barcelona, Spain):
Topographical modulation of neuronal cultures promotes critical dynamics and functional complexity

Kazushi Takehana (University of Tokyo, Japan):
Bayesian adaptive electrode selection algorithm for non-stationary neuronal activity

Yuta Tanimura (Osaka Institute of Technology, Japan):
Effects of pyramidal cell-interneuron connection probability on feature learning in a cortical microcircuit model

Keita Watanabe (Tohoku University, Japan):
Functional response and self-repair processes after focal injury in artificial neuronal networks with hierarchically modular structure

Ryosuke Yoshida (University of Tokyo, Japan):
Developing artificial texture perception through patterned optogenetic stimulation in mouse somatosensory cortex