倉重 宏樹

Kurashige Hiroki

  • 講師
  • 学位:博士(工学)

基本情報

所属

  • Undergraduate School of Information and Telecommunication Engineering / Department of Information and Telecommunication Engineering
  • Graduate School of Information and Telecommunication Engineering / Course of Information and Telecommunication Engineering
  • Tokai University Research and Information Center (TRIC)

詳細情報

研究分野

  • Life sciences Neuroscience - general
  • Life sciences Basic brain sciences
  • Humanities & social sciences Cognitive sciences

受賞

  • The 7th International Conference on Artificial Intelligence in Information and Communication Best Paper Award
  • IEEE Computational Intelligence Society Japan Chapter Young Researcher Award
  • 18th International Conference on Neural Information Processing Best Paper Award

論文

Corresponding an Audio-Processing Transformer to EEG Brain Activity Induced by Naturalistic Audio-Visual Video Stimuli

Correspondence between the Video-Learning Deep Neural Networks and EEG Brain Activity during Naturalistic Video Viewing

Brain-mimetic Kernel: A Kernel Constructed from Human fMRI Signals Enabling a Brain-mimetic Visual Recognition Algorithm

Wrist and finger motor representations embedded in the cerebral and cerebellar resting-state activation

Revealing Relationships Among Cognitive Functions Using Functional Connectivity and a Large-Scale Meta-Analysis Database

Effective Augmentation of Creativity-Involving Productivity Consequent to Spontaneous Selectivity in Knowledge Acquisition

A Knowledge-Based Arrangement of Prototypical Neural Representation Prior to Experience Contributes to Selectivity in Upcoming Knowledge Acquisition

Effect of Anserine/Carnosine Supplementation on Verbal Episodic Memory in Elderly People

Resting-state brain activity in the motor cortex reflects task-induced activity: A multi-voxel pattern analysis

Dendritic Slow Dynamics Enables Localized Cortical Activity to Switch between Mobile and Immobile Modes with Noisy Background Input

A Method to Construct Visual Recognition Algorithms on the Basis of Neural Activity Data

Dynamically Sliding Threshold Model Reproduces the Initial-Strength Dependence of Spike-Timing Dependent Synaptic Plasticity

BCM-Type Synaptic Plasticity Model Using a Linear Summation of Calcium Elevations as a Sliding Threshold

講演・口頭発表等

  • Corresponding an Audio-Processing Transformer to EEG Brain Activity Induced by Naturalistic Audio-Visual Video Stimuli
  • Neural mechanisms of memory schema growing and reorganization
  • Memory schema reorganization as a deliberating process in the central executive network
  • Toward a deep neural network simulator of brain activity on fast time scales: Correspondence between EEG and Transformer-based model responses to naturalistic audio stimuli
  • Correspondence between the Video-Learning Deep Neural Networks and EEG Brain Activity during Naturalistic Video Viewing
  • Analyzing a correspondence between human EEG and deep neural network responses to naturalistic video presentations
  • Brain-mimetic Kernel: A Kernel Constructed from Human fMRI Signals Enabling a Brain-mimetic Visual Recognition Algorithm
  • Fluctuating dynamics in the resting brain

所属学会

  • Society for Neuroscience
  • JAPANESE NEURAL NETWORK SOCIETY
  • THE JAPAN NEUROSCIENCE SOCIETY

ResearchMapへ移動します

Contact Us

Inquiries about coverage

Public Affairs Division Public Affairs and Communications Department

Tel. 0463-63-4670(direct dialing)