Sensory Cue Integration (Computational Neuroscience Series)

This book is a groundbreaking exploration of sensory cue integration, focusing on the emerging field of uncertainty-based approaches.

It delves into the realization that our sensors are noisy and often affected by ambiguity, and provides novel insights into how the nervous system combines cues to minimize uncertainty in its estimates.

The book offers a comprehensive overview of Bayesian statistics as a common language for expressing cue-combination problems, and features contributions from leading experts across behavioral, electrophysiological, and theoretical approaches.

With a unique blend of theoretical and practical perspectives, this book is an essential read for anyone interested in understanding the complex processes underlying human decision-making under risk and uncertainty.