On the minimal theory of consciousness implicit in active inference
The multifaceted nature of experience poses a challenge to the study of consciousness.
Traditional neuroscientific approaches often concentrate on isolated facets, such as …
Traditional neuroscientific approaches often concentrate on isolated facets, such as …
[HTML][HTML] How can geostatistics help us understand deep learning? An exploratory study in SAR-based aircraft detection
L Chen, Z Fang, J Xing, X Cai - … Journal of Applied Earth Observation and …, 2024 - Elsevier
Abstract Deep Neural Networks (DNNs) have garnered significant attention across various
research domains due to their impressive performance, particularly Convolutional Neural …
research domains due to their impressive performance, particularly Convolutional Neural …
Expectations about presence enhance the influence of content-specific expectations on low-level orientation judgements
Will something appear and if so, what will it be? Perceptual expectations can concern both
the presence and content of a stimulus. However, it is unclear how these different types of …
the presence and content of a stimulus. However, it is unclear how these different types of …
[PDF][PDF] Sentinel-2 MSI data for active fire detection in major fire-prone biomes: A multi-criteria approach
ABSTRACT Sentinel-2 MultiSpectral Instrument (MSI) data exhibits the great potential of
enhanced spatial and temporal coverage for monitoring biomass burning which could …
enhanced spatial and temporal coverage for monitoring biomass burning which could …
Identifying content-invariant neural signatures of perceptual visibility
Some conscious experiences are more vivid than others. Although perceptual visibility is a
familiar component of human consciousness, how variation in visibility is registered by the …
familiar component of human consciousness, how variation in visibility is registered by the …