Neuro-computational models of spatial updating

Computational models of spatial updating in peri-saccadic perception.

Perceptual phenomena that occur around the time of a saccade, such as peri-saccadic mislocalization or saccadic suppression of displacement, have often been linked to mechanisms of spatial stability. These phenomena are usually regarded as errors in processes of trans-saccadic spatial transformations and they provide important tools to study these processes. However, a true understanding of the...

Spatial Updating 1 Allocentric and Egocentric Updating of Spatial Memories

Four experiments investigated spatial updating in a familiar environment. Participants learned locations of objects in a rectangular or a round room from a single stationary viewing position, walked to the center of the layout, and turned to appropriate facing directions before making pointing judgments. Locomotion was visually guided. Participants made judgments of relative direction (e.g., "I...

Computational Models of Spatial Language Interpretation

We examine why a probabilistic approach to modelling the various components of spatial language is the most practical for spatial algorithms in which they can be employed, and examine such models for prepositions such as `between' and `by'. We provide an example of such a probabilistic treatment by exploring a novel application of spatial models to the induction of the occupancy of an object in...

Computational Laboratories for Spatial Agent - Based Models

Computational neuro-science

2 Neural information processing is noisy 6 2.1 Poisson Processes . . . . . . . . . . . . . . . . . . . . . . . . . . 6 2.1.1 Interval distribution . . . . . . . . . . . . . . . . . . . . . 10 2.1.2 Integration reduces CV . . . . . . . . . . . . . . . . . . . 12 2.1.3 Refractoriness . . . . . . . . . . . . . . . . . . . . . . . 12 2.2 ISI distributions . . . . . . . . . . . . . . . . . . . . . ....