Cargando…
Position Information Encoded by Population Activity in Hierarchical Visual Areas
Neurons in high-level visual areas respond to more complex visual features with broader receptive fields (RFs) compared to those in low-level visual areas. Thus, high-level visual areas are generally considered to carry less information regarding the position of seen objects in the visual field. How...
Autores principales: | Majima, Kei, Sukhanov, Paul, Horikawa, Tomoyasu, Kamitani, Yukiyasu |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Society for Neuroscience
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5394939/ https://www.ncbi.nlm.nih.gov/pubmed/28451634 http://dx.doi.org/10.1523/ENEURO.0268-16.2017 |
Ejemplares similares
-
Generic decoding of seen and imagined objects using hierarchical visual features
por: Horikawa, Tomoyasu, et al.
Publicado: (2017) -
Sharpening of Hierarchical Visual Feature Representations of Blurred Images
por: Abdelhack, Mohamed, et al.
Publicado: (2018) -
Deep image reconstruction from human brain activity
por: Shen, Guohua, et al.
Publicado: (2019) -
Hierarchical Neural Representation of Dreamed Objects Revealed by Brain Decoding with Deep Neural Network Features
por: Horikawa, Tomoyasu, et al.
Publicado: (2017) -
End-to-End Deep Image Reconstruction From Human Brain Activity
por: Shen, Guohua, et al.
Publicado: (2019)