most citedA Supervised Learning Algorithm for Multilayer Spiking Neural Networks Based on Temporal Coding Toward Energy-Efficient VLSI Processor Design

1 citations · 1 across the 1 of their papers we have counts for

collaborators

3 papers

cs.LG2020

Model-Size Reduction for Reservoir Computing by Concatenating Internal States Through Time

Yusuke Sakemi, Kai Morino, Timothée Leleu +1

Reservoir computing (RC) is a machine learning algorithm that can learn complex time series from data very rapidly based on the use of high-dimensional dynamical systems, such as r…

cs.NE2020★ 1 cited

A Supervised Learning Algorithm for Multilayer Spiking Neural Networks Based on Temporal Coding Toward Energy-Efficient VLSI Processor Design

Yusuke Sakemi, Kai Morino, Takashi Morie +1

Spiking neural networks (SNNs) are brain-inspired mathematical models with the ability to process information in the form of spikes. SNNs are expected to provide not only new machi…

stat.ML2016

Predicting Glaucoma Visual Field Loss by Hierarchically Aggregating Clustering-based Predictors

Motohide Higaki, Kai Morino, Hiroshi Murata +2

This study addresses the issue of predicting the glaucomatous visual field loss from patient disease datasets. Our goal is to accurately predict the progress of the disease in indi…