Computational Explorations in Cognitive Neuroscience: Understanding the Mind by Simulating the Brain
Computational Explorations in Cognitive Neuroscience: Understanding the Mind by Simulating the Brain
Topological relationships between complex spatial objects
ACM Transactions on Database Systems (TODS)
Making Sense of Sensemaking 1: Alternative Perspectives
IEEE Intelligent Systems
Representation of Number in Animals and Humans: A Neural Model
Journal of Cognitive Neuroscience
Figure–Ground Segregation in a Recurrent Network Architecture
Journal of Cognitive Neuroscience
Making Sense of Sensemaking 2: A Macrocognitive Model
IEEE Intelligent Systems
Development of elementary numerical abilities: A neuronal model
Journal of Cognitive Neuroscience
Hi-index | 0.00 |
According to the data-frame theory, sensemaking is a macrocognitive process in which people try to make sense of or explain their observations by processing a number of explanatory structures called frames until the observations and frames become congruent. During the sensemaking process, the parietal cortex has been implicated in various cognitive tasks for the functions related to spatial and temporal information processing, mathematical thinking, and spatial attention. In particular, the parietal cortex plays important roles by extracting multiple representations of magnitudes at the early stages of perceptual analysis. By a series of neural network simulations, we demonstrate that the dissociation of different types of spatial information can start early with a rather similar structure (i.e., sensitivity on a common metric), but accurate representations require specific goal-directed top-down controls due to the interference in selective attention. Our results suggest that the roles of the parietal cortex rely on the hierarchical organization of multiple spatial representations and their interactions. The dissociation and interference between different types of spatial information are essentially the result of the competition at different levels of abstraction.