01whole.pdf (3.51 MB)
Download file

Investigating interlimb generalisation of Bayesian sensorimotor learning

Download (3.51 MB)
thesis
posted on 28.03.2022, 11:14 authored by Chris Hewitson
An emerging paradigm shift is currently underway in neuroscience involving the modelling of neural systems using the mathematical framework of Bayesian decision theory, and more significantly, treatment of the brain itself as a Bayesian machine. Recent work suggests that the brain represents probability distributions and performs Bayesian integration during sensorimotor learning, but the evidence remains inconclusive. In this study we seek to accrueadditional behabioural evidence for Bayesian sensorimotor learning. Using a novel variation of an interlimb generalisation paradigm involving a stochastic visuomotor perturbation, we tested the hypothesis that Bayesian sensorimotor learning transfers to the other limb, and relatedly, that the representation of this learned visuomotor perturbation is encoded in an extrinsic reference frame. Consistent with our hypothesis, we found that interlimb transfer of learning is nearly complete when the visuomotor perturbation is congruent in extrinsic coordinates and relatively incomplete when congruent in intrinsic coordinate. Interestingly, we also found that although the learned prior distribution transfers to the untrained limb, the likelihood is not optimally integrated by the untrained limb, indicating that the prior and likelihood are represented independently of one another. This study provides valuable information about the nature of the representations underlying Bayesian integration in sensorimotor learning and opens up a number of intriguing paths for future investigation.

History

Table of Contents

1. General introduction -- 2. Investigating interlimb generalisation of Bayesian sensorimotor learning -- 3. General discussion.

Notes

Theoretical thesis. Bibliography: pages 80-92

Awarding Institution

Macquarie University

Degree Type

Thesis MRes

Degree

MRes, Macquarie University, Faculty of Human Sciences, Department of Cognitive Science

Department, Centre or School

Department of Cognitive Science

Year of Award

2016

Principal Supervisor

David Haplan

Additional Supervisor 1

Paul Sowman

Rights

Copyright Chris Hewitson 2016. Copyright disclaimer: http://mq.edu.au/library/copyright

Language

English

Extent

1 online resource (107 pages illustrations (some colour))

Former Identifiers

mq:70278 http://hdl.handle.net/1959.14/1262028