Naturalistic stimuli in neuroscience: critically acclaimed

S Sonkusare, M Breakspear, C Guo - Trends in cognitive sciences, 2019 - cell.com
Cognitive neuroscience has traditionally focused on simple tasks, presented sparsely and
using abstract stimuli. While this approach has yielded fundamental insights into functional …

A Complete Process of Text Classification System Using State‐of‐the‐Art NLP Models

V Dogra, S Verma, Kavita, P Chatterjee… - Computational …, 2022 - Wiley Online Library
With the rapid advancement of information technology, online information has been
exponentially growing day by day, especially in the form of text documents such as news …

What is the test-retest reliability of common task-functional MRI measures? New empirical evidence and a meta-analysis

ML Elliott, AR Knodt, D Ireland, ML Morris… - Psychological …, 2020 - journals.sagepub.com
Identifying brain biomarkers of disease risk is a growing priority in neuroscience. The ability
to identify meaningful biomarkers is limited by measurement reliability; unreliable measures …

Improving the accuracy of single-trial fMRI response estimates using GLMsingle

JS Prince, I Charest, JW Kurzawski, JA Pyles, MJ Tarr… - Elife, 2022 - elifesciences.org
Advances in artificial intelligence have inspired a paradigm shift in human neuroscience,
yielding large-scale functional magnetic resonance imaging (fMRI) datasets that provide …

Closed-loop brain training: the science of neurofeedback

R Sitaram, T Ros, L Stoeckel, S Haller… - Nature Reviews …, 2017 - nature.com
Neurofeedback is a psychophysiological procedure in which online feedback of neural
activation is provided to the participant for the purpose of self-regulation. Learning control …

[HTML][HTML] Task-induced brain state manipulation improves prediction of individual traits

AS Greene, S Gao, D Scheinost… - Nature communications, 2018 - nature.com
Recent work has begun to relate individual differences in brain functional organization to
human behaviors and cognition, but the best brain state to reveal such relationships remains …

Neural tuning and representational geometry

N Kriegeskorte, XX Wei - Nature Reviews Neuroscience, 2021 - nature.com
A central goal of neuroscience is to understand the representations formed by brain activity
patterns and their connection to behaviour. The classic approach is to investigate how …

Spatio-temporal data mining: A survey of problems and methods

G Atluri, A Karpatne, V Kumar - ACM Computing Surveys (CSUR), 2018 - dl.acm.org
Large volumes of spatio-temporal data are increasingly collected and studied in diverse
domains, including climate science, social sciences, neuroscience, epidemiology …

Scanning the horizon: towards transparent and reproducible neuroimaging research

RA Poldrack, CI Baker, J Durnez… - Nature reviews …, 2017 - nature.com
Functional neuroimaging techniques have transformed our ability to probe the
neurobiological basis of behaviour and are increasingly being applied by the wider …

Measuring shared responses across subjects using intersubject correlation

SA Nastase, V Gazzola, U Hasson… - Social cognitive and …, 2019 - academic.oup.com
Our capacity to jointly represent information about the world underpins our social
experience. By leveraging one individual's brain activity to model another's, we can measure …