A Top-Down, Scene Model-Based Perceptual Aftereffect

Mechanisms for Top - down Perceptual Processing

If we are to understand how human perception occurs, then we must first identify the mechanisms that drive perception. It is commonly believed that perception is influenced by both bottom-up processes (raw sensory input), and top-down processes (expectationdriven matching). What is not fully understood is how the human mind uses expectations and assumptions to manipulate what we call conscious ...

Underconstrained Stochastic Representations for Top-down Computational Auditory Scene Analysis

Since Bregman published his unifying account of psychological results in auditory organization, Auditory Scene Analysis [1], there has been a series computational models of these principles. The dominant approach, as embodied in the dissertations of Cooke [2], Mellinger [3] and Brown [4], and elsewhere [5], may be characterized as follows: First the sound is processed by a conventional signalpr...

A Top-Down Model for Neuronal Synchronization

Perceptual color descriptor based on spatial distribution: A top-down approach

Color features are the key-elements widely used in content-analysis and retrieval. However, most of them show severe limitations and drawbacks due to their inefficiency of modeling the human visual system with respect to color perception. Moreover, they cannot characterize all the properties of the color composition in a visual scenery. In this paper we present a perceptual color feature, which...

Top-down modulation of sensory cortex gates perceptual learning.

Practice sharpens our perceptual judgments, a process known as perceptual learning. Although several brain regions and neural mechanisms have been proposed to support perceptual learning, formal tests of causality are lacking. Furthermore, the temporal relationship between neural and behavioral plasticity remains uncertain. To address these issues, we recorded the activity of auditory cortical ...