Cargando…
Personalized visual encoding model construction with small data
Quantifying population heterogeneity in brain stimuli-response mapping may allow insight into variability in bottom-up neural systems that can in turn be related to individual’s behavior or pathological state. Encoding models that predict brain responses to stimuli are one way to capture this relati...
Autores principales: | Gu, Zijin, Jamison, Keith, Sabuncu, Mert, Kuceyeski, Amy |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9759560/ https://www.ncbi.nlm.nih.gov/pubmed/36528715 http://dx.doi.org/10.1038/s42003-022-04347-z |
Ejemplares similares
-
Modulating human brain responses via optimal natural image selection and synthetic image generation
por: Gu, Zijin, et al.
Publicado: (2023) -
Human brain responses are modulated when exposed to optimized natural images or synthetically generated images
por: Gu, Zijin, et al.
Publicado: (2023) -
Heritability and interindividual variability of regional structure-function coupling
por: Gu, Zijin, et al.
Publicado: (2021) -
Sex classification using long‐range temporal dependence of resting‐state functional MRI time series
por: Dhamala, Elvisha, et al.
Publicado: (2020) -
Predicting individual task contrasts from resting-state functional connectivity using a surface-based convolutional network
por: Ngo, Gia H., et al.
Publicado: (2022)