BolT: Fused window transformers for fMRI time series analysis
Deep-learning models have enabled performance leaps in analysis of high-dimensional
functional MRI (fMRI) data. Yet, many previous methods are suboptimally sensitive for …
functional MRI (fMRI) data. Yet, many previous methods are suboptimally sensitive for …
[PDF][PDF] Naturalistic imaging: The use of ecologically valid conditions to study brain function
The cover (by artist Tobias S. Hoffmann) for this special issue on Naturalistic imaging was
created with vintage movie posters in mind. It depicts a King Kong-like figure taking a city by …
created with vintage movie posters in mind. It depicts a King Kong-like figure taking a city by …
A plug-in graph neural network to boost temporal sensitivity in fmri analysis
Learning-based methods offer performance leaps over traditional methods in classification
analysis of high-dimensional functional MRI (fMRI) data. In this domain, deep-learning …
analysis of high-dimensional functional MRI (fMRI) data. In this domain, deep-learning …
Language tasks and the network control role of the left inferior frontal gyrus
Recent work has combined cognitive neuroscience and control theory to make predictions
about cognitive control functions. Here, we test a link between whole-brain theories of …
about cognitive control functions. Here, we test a link between whole-brain theories of …
Task-dependent warping of semantic representations during search for visual action categories
Object and action perception in cluttered dynamic natural scenes relies on efficient
allocation of limited brain resources to prioritize the attended targets over distractors. It has …
allocation of limited brain resources to prioritize the attended targets over distractors. It has …
[HTML][HTML] Decoding the difference between explicit and implicit body expression representation in high level visual, prefrontal and inferior parietal cortex
Recent studies provide an increasing understanding of how visual objects categories like
faces or bodies are represented in the brain and also raised the question whether a …
faces or bodies are represented in the brain and also raised the question whether a …
Convergence of modality invariance and attention selectivity in the cortical semantic circuit
T Nakai, HQ Yamaguchi, S Nishimoto - Cerebral Cortex, 2021 - academic.oup.com
The human linguistic system is characterized by modality invariance and attention
selectivity. Previous studies have examined these properties independently and reported …
selectivity. Previous studies have examined these properties independently and reported …
[HTML][HTML] Coherent natural scene structure facilitates the extraction of task-relevant object information in visual cortex
Looking for objects within complex natural environments is a task everybody performs
multiple times each day. In this study, we explore how the brain uses the typical composition …
multiple times each day. In this study, we explore how the brain uses the typical composition …
A Graphical Network Layer for Lagged Analysis of FMRI Data
Functional magnetic resonance imaging (fMRI) enables recording the brain's neural activity
spatiotemporally and is the center of much cutting-edge psychology and neuroscience …
spatiotemporally and is the center of much cutting-edge psychology and neuroscience …
[PDF][PDF] Novel deep learning approaches for functional FMRI data analysis
HA Bedel - 2024 - repository.bilkent.edu.tr
Hasan Atakan Bedel Elektrik ve Elektronik Mühendisligi, Yüksek Lisans Tez Danısmanı:
Tolga Cukur Agustos 2024 Fonksiyonel MRI (fMRI), beyin aktivitesini analiz etme …
Tolga Cukur Agustos 2024 Fonksiyonel MRI (fMRI), beyin aktivitesini analiz etme …