Commentary: On the joys of perceiving: Affect as feedback for perceptual predictions.

Sabrina Trapp

doi:10.3389/fnins.2017.00556

Abstract

GENERAL COMMENTARY article Front. Neurosci., 23 October 2017Sec. Decision Neuroscience Volume 11 - 2017 | https://doi.org/10.3389/fnins.2017.00556

Highlights

Reviewed by: John Monterosso, University of Southern California, Specialty section: This article was submitted to Decision Neuroscience, a section of the journal Frontiers in Neuroscience
It has even been suggested that conceptualizing the brain as minimizing surprise can account for several neurophysiological and neuroanatomical observations (Friston, 2005, 2010). This raises the question of why organisms are not attracted to sensory vacuums where the prediction error is zero
While previous proposals have emphasized the commonalities between the process of perceptual inference and reinforcement learning (RL) (Rushworth et al, 2010), the exploration-exploitation dilemma in the latter has remained untouched by the connection

Summary

Introduction

Reviewed by: John Monterosso, University of Southern California, Specialty section: This article was submitted to Decision Neuroscience, a section of the journal Frontiers in Neuroscience. On the joys of perceiving: Affect as feedback for perceptual predictions by Chetverikov, A., and Kristjánsson, Á. The intuition that perception relies on prior information when inferring the causes of sensory input has received strong theoretical and empirical support (for a review see Clark, 2013).

Results

Conclusion