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Inductive learning spatial attention [PDF]
This paper investigates the automatic induction of spatial attention from the visual observation of objects manipulated on a table top. In this work, space is represented in terms of a novel observer-object relative reference system, named Local ...
Baluja S. +33 more
core +10 more sources
Comparing Immersive and Non-Immersive VR: Effects on Spatial Learning and Aesthetic Experience in Museum Settings [PDF]
Background/Objectives: The use of virtual reality (VR) solutions in design has rapidly increased globally. However, it remains unclear to what extent these technologies enhance people’s cognitive abilities.
Laura Piccardi +9 more
doaj +2 more sources
Heliconius butterflies use wide-field landscape features, but not individual local landmarks, during spatial learning [PDF]
Spatial learning is vital in foraging ecology. Many hymenopteran insects are adept spatial foragers that rely on visual cues contained within broader wide-field scenes for central place foraging from a central nest.
P. A. Moura +2 more
doaj +2 more sources
Variable Selection and Allocation in Joint Models via Gradient Boosting Techniques
Modeling longitudinal data (e.g., biomarkers) and the risk for events separately leads to a loss of information and bias, even though the underlying processes are related to each other.
Colin Griesbach +2 more
doaj +1 more source
As we learn, dynamic memory processes build structured knowledge across our experiences. Such knowledge enables the formation of internal models of the world that we use to plan, make decisions, and act.
Corey Fernandez +4 more
doaj +1 more source
The frequent use of GPS-based navigation assistance is found to negatively affect spatial learning. Displaying landmarks effectively while providing wayfinding instructions on such services could facilitate spatial learning because landmarks help ...
Bingjie Cheng +4 more
doaj +1 more source
Chronic sensitization to serotonin 1A and 7 receptors agonist 8-OH-DPAT induces compulsive checking and perseverative behavior. As such, it has been used to model obsessive-compulsive disorder (OCD)-like behavior in mice and rats.
Martina Janikova +5 more
doaj +1 more source
Learned Spatial Data Partitioning
Due to the significant increase in the size of spatial data, it is essential to use distributed parallel processing systems to efficiently analyze spatial data. In this paper, we first study learned spatial data partitioning, which effectively assigns groups of big spatial data to computers based on locations of data by using machine learning ...
Keizo Hori +4 more
openaire +2 more sources
IntroductionAlzheimer’s disease (AD), is characterized by a gradual cognitive decline associated with the accumulation of Amyloid beta (Aβ)-oligomers, progressive neuronal degeneration and chronic neuroinflammation.
Hendrik Demuth +9 more
doaj +1 more source
CoBeL-RL: A neuroscience-oriented simulation framework for complex behavior and learning
Reinforcement learning (RL) has become a popular paradigm for modeling animal behavior, analyzing neuronal representations, and studying their emergence during learning. This development has been fueled by advances in understanding the role of RL in both
Nicolas Diekmann +7 more
doaj +1 more source

