PhD The ‘little brain’: error detection by the cerebellum and its role in motor learning

Closing Date
5 Dec 2018
Address
School of Psychology, University of St Andrews

Project Description

Olivocerebellar system-dependent motor learning 

The cerebellum is crucial for motor learning: it integrates information from the spinal cord and the senses to assess the execution of each movement, and implements changes if the movement does not match the desired result. Its contribution to the coordination, timing and spatial precision of movements is demonstrated by the many motor deficits observed in patients with cerebellar abnormalities, including poor balance, tremors, and an inability to perform rapid movements. 

Crucial to the motor learning process is the detection of a mismatch between the intended and actual movement by the inferior olivary nucleus (IO), which modulates the efficacy of the parallel fibre-to-Purkinje neuron synapse. In spite of its central importance to motor learning, it is unclear how the inferior olivary nucleus encodes this error signal to implement motor learning. 

Based on preliminary results, this project aims to understand this process by probing the activity and connectivity of the larval zebrafish IO in the context of motor learning. We will use a combination of the latest tools in neural activity imaging, optogenetics, data analysis, and network modelling. 

Supervised by a neuroscientist and a computational biologist, the project will provide an excellent training opportunity for the postgraduate student, preparing them for a career in the scientific and technology sectors. 

Funding Notes

This opportunity is only open to UK nationals (or EU students who have been resident in the UK for 3+ years immediately prior to the programme start date) due to restrictions imposed by the funding body. 

Apply by 5.00 pm on 5 December 2018 following the instructions on how to apply at: View Website 

Informal inquiries to the primary supervisor are very strongly encouraged. 

For more information and to apply, click here