[HTML][HTML] What ergodicity means for you

MD Hunter, ZF Fisher, CF Geier - Developmental Cognitive Neuroscience, 2024 - Elsevier
This paper explores the relation between within-person and between-person research
designs using the concept of ergodicity from statistical mechanics in physics. We …

Functional Near-Infrared Spectrometry as a Useful Diagnostic Tool for Understanding the Visual System: A Review

K Acuña, R Sapahia, IN Jiménez, M Antonietti… - Journal of clinical …, 2024 - mdpi.com
This comprehensive review explores the role of Functional Near-Infrared Spectroscopy
(fNIRS) in advancing our understanding of the visual system. Beginning with an introduction …

Using artworks to understand human memory and its neural mechanisms

W Liu, JP Guo, H Li - New Ideas in Psychology, 2024 - Elsevier
Artwork is a unique tool for studying human memory and its neural underpinnings. This
review evaluates the role of art in memory research, employing novel experimental and …

Affective music during episodic memory recollection modulates subsequent false emotional memory traces: an fMRI study

Y Ren, SK Mehdizadeh, G Leslie, T Brown - Cognitive, Affective, & …, 2024 - Springer
Music is a powerful medium that influences our emotions and memories. Neuroscience
research has demonstrated music's ability to engage brain regions associated with emotion …

Between collection and interpretation: Targeted rights for unpredictable insights

T Gavina, L Gutiérrez-Lafrentz - AJOB neuroscience, 2024 - Taylor & Francis
In their paper “Brain Data in Context: Are New Rights the Way to Mental and Brain Privacy?”
Susser and Cabrera (2024) argue against the notion that specific rights may be necessary to …

Reverse the auditory processing pathway: Coarse-to-fine audio reconstruction from fMRI

C Liu, C Du, X Chen, H He - arXiv preprint arXiv:2405.18726, 2024 - arxiv.org
Drawing inspiration from the hierarchical processing of the human auditory system, which
transforms sound from low-level acoustic features to high-level semantic understanding, we …

Naturalistic Music Decoding from EEG Data via Latent Diffusion Models

E Postolache, N Polouliakh, H Kitano… - arXiv preprint arXiv …, 2024 - arxiv.org
In this article, we explore the potential of using latent diffusion models, a family of powerful
generative models, for the task of reconstructing naturalistic music from …

[HTML][HTML] Large-scale Foundation Models and Generative AI for BigData Neuroscience

R Wang, ZS Chen - Neuroscience Research, 2024 - Elsevier
Recent advances in machine learning have led to revolutionary breakthroughs in computer
games, image and natural language understanding, and scientific discovery. Foundation …

A Review on Privacy and Monetization Aspects Within BCI and XR-BCI Ecosystems

T Lahtinen, A Costin, G Suarez-Tangil… - … Symposium on Business …, 2024 - Springer
The use of BCI and XR-BCI devices is yet to become more widespread among the general
population. These devices could pose a significant risk to the users' privacy, as they enable …

R&B--Rhythm and Brain: Cross-subject Decoding of Music from Human Brain Activity

M Ferrante, M Ciferri, N Toschi - arXiv preprint arXiv:2406.15537, 2024 - arxiv.org
Music is a universal phenomenon that profoundly influences human experiences across
cultures. This study investigates whether music can be decoded from human brain activity …