Keisuke Suzuki

A cascade of attentional and default mode network dynamics following the resolution of perceptual ambiguity

The paper investigates the spatiotemporal dynamics of brain networks during spontaneous perceptual reversals using fMRI and identifies a network cascade involving attentional and default mode networks.

Investigating the role of sensorimotor spatial dependencies in shaping conscious access to virtual 3D objects

This study investigates how sensorimotor spatial dependencies affect conscious access to virtual 3D objects, finding no significant differences in breakthrough times across different coupling rules.

Modelling Phenomenological Differences in Aetiologically Distinct Visual Hallucinations Using Deep Neural Networks

This paper uses deep neural networks to model and generate synthetic visual hallucinations that reflect distinct phenomenological characteristics of different aetiologies.

The Hallucination Machine: A Deep-Dream VR platform for Studying the Phenomenology of Visual Hallucinations

The paper introduces a VR platform using deep convolutional neural networks and panoramic videos to simulate visual hallucinations, showing it can replicate psychedelic-like experiences without causing temporal distortion.