A central goal of neuroscience is to understand the representations formed by brain activity
patterns and their connection to behaviour. The classic approach is to investigate how …

Most of our knowledge about the functional organization of neuronal systems is based on
the analysis of the firing patterns of individual neurons that have been recorded one by one …

Deep neural networks currently provide the best quantitative models of the response
patterns of neurons throughout the primate ventral visual stream. However, such networks …

Despite their ability to memorize large datasets, deep neural networks often achieve good
generalization performance. However, the differences between the learned solutions of …

Current state-of-the-art object recognition models are largely based on convolutional neural
network (CNN) architectures, which are loosely inspired by the primate visual system …

The book you are about to read is about research that asks questions like" How do our
senses operate?"" What is the connection between nervous system activity and perception?" …

Two-dimensional spatial linear filters are constrained by general uncertainty relations that
limit their attainable information resolution for orientation, spatial frequency, and two …

eBook: Cognitive Psychology 2e Page 1 Page 2 Australia • Brazil • Canada • Mexico • Singapore
• United Kingdom • United States Cognitive Psychology 2ND EMEA EDITION E. BRUCE …

Humans are good at performing visual tasks, but experimental measurements have
revealed substantial biases in the perception of basic visual attributes. An appealing …

This volume presents an integrated view of how we perceive the spatial relations in our
visual world, covering anatomical, physiological, psychophysical, and perceptual aspects …