A computational model of pupil dilation. Issue 1 (2nd January 2018)

• Record Type: Journal Article
• Authors: Johansson, Birger; Balkenius, Christian
• Is Part Of: Connection science. Volume 30:Issue 1(2018)
• Page Start: 5
• Page End: 19
• Publication Date: 2018-01-02
• Subjects: Light reflex -- pupil control -- computational model -- system-level brain model; Neural computers -- Periodicals; Artificial intelligence -- Periodicals; Cognitive science -- Periodicals; Connectionism -- Periodicals; 006.3
• DOI: 10.1080/09540091.2016.1271401
• Languages: English
• ISSNs: 0954-0091

Abstract

ABSTRACT: We present a system-level connectionist model of pupil control that includes brain regions believed to influence the size of the pupil. It includes parts of the sympathetic and parasympathetic nervous system together with the hypothalamus, amygdala, locus coeruleus, and cerebellum. Computer simulations show that the model is able to reproduce a number of important aspects of how the pupil reacts to different stimuli: (1) It reproduces the characteristic shape and latency of the light-reflex. (2) It elicits pupil dilation as a response to novel stimuli. (3) It produces pupil dilation when shown emotionally charged stimuli, and can be trained to respond to initially neutral stimuli through classical conditioning. (4) The model can learn to expect light changes for particular stimuli, such as images of the sun, and produces a "light-response" to such stimuli even when there is no change in light intensity. (5) It also reproduces the fear-inhibited light reflex effect where reactions to light increase is weaker after presentation of a conditioned stimulus that predicts punishment.