COLLEGE OF MEDICINE AND HEALTH
Medicine, Nursing and Allied Health Professions

Module

Neurobiological rhythms: a computational approach

Module titleNeurobiological rhythms: a computational approach
Module codeCSC4027
Academic year2021/2
Credits15
Module staff

Dr Joel Tabak-Sznajder (Lecturer)

Duration: Term123
Duration: Weeks

11

Number students taking module (anticipated)

40

Description - summary of the module content

Module description

In 1931, the reformed bank robber Wiley Post became the first man to experience jet lag through being the first person to fly around the world, a distance of 15,474 miles in 8 days. Jet lag, which many of us have now experienced, highlights the existence of a circadian clock - and that problems arise when this clock becomes out of phase with its environment. It is now known we have many other biological clocks, acting on different scales of time and space. Regardless of their scale, all these clocks allow us to anticipate changes in our environment, and co-ordinate our interacting bodily functions.

This module will explore these rhythmic processes of nervous systems, in both health and disease. You will use computational techniques to investigate the basic mechanisms that produce these rhythms as well as examining those which allow these rhythms to coordinate with each other. You will also learn about Dynamic Diseases, the pathological states which arise from the dysfunction of these rhythms. 

It is recommended, though not essential, that students taking this module have completed an A Level or equivalent in Mathematics.

This is an optional module for students studying BSc Neuroscience. This module is also open to students from CEMPS, particularly those studying for a BSc in Mathematics or Natural Sciences. It is also open to students studying Biological sciences  in CLES.

Module aims - intentions of the module

This module demonstrates the importance of rhythmic behaviours in the nervous system, explaining both their roles and their mechanisms. You will see first-hand that the apparently contrasting patterns of fast electrical activity, produced by a single neuron, and the slow oscillations generated by large networks of neurons can actually arise from common mechanisms. From this observation you will develop your intuition for how oscillations are controlled, by manipulating them within mathematical models. The module will also describe how oscillators are entrained by periodic stimuli, illustrating how oscillators can therefore coordinate their activities, and what might happen when this coordination is disrupted. These concepts will be demonstrated with reference to phenomena such as rhythmic spiking in single neurons, theta and gamma oscillations in the cortex, and the circadian and sleep cycles.

Where possible, Neuroscience students will be paired with students from other disciplines, for example Mathematics and Natural Sciences, in order to help each other learn. This innovative approach is based on compelling evidence that this near-peer approach to interdisciplinary study supports the learning of all participants (Evans and Cuffe 2009; Naeger et al. 2013)

Evans, Darrell J. R., and Tracy Cuffe. 2009. ‘Near-Peer Teaching in Anatomy: An Approach for Deeper Learning’. Anatomical Sciences Education 2 (5):227–33. https://doi.org/10.1002/ase.110. Naeger, David M., Miles Conrad, Janet Nguyen, Maureen P. Kohi, and Emily M. Webb. 2013. ‘Students Teaching Students: Evaluation of a “Near-Peer” Teaching Experience’. Academic Radiology 20 (9):1177–82. https://doi.org/10.1016/j.acra.2013.04.004.

Intended Learning Outcomes (ILOs)

ILO: Module-specific skills

On successfully completing the module you will be able to...

  • 1. Explain the basic neuronal mechanisms that produce rhythmic behaviour
  • 2. Describe oscillators in the nervous system and their mechanisms
  • 3. Find the key parameters that control oscillator frequency in a neural oscillator
  • 4. Understand the concept of stability and instability in relation to a steady state
  • 5. Explain how oscillators can be entrained and how they can synchronise
  • 6. Demonstrate how EEG signals result from synchronisation between neurons
  • 7. Describe the concept of dynamical disease and give some examples
  • 8. Explain jet lag in relation to the concept of oscillator phase

ILO: Discipline-specific skills

On successfully completing the module you will be able to...

  • 9. Show an understanding of how systems made of different components may operate through common principles
  • 10. Evaluate the role of computational models in understanding the nervous system
  • 11. Explore the behaviour of mathematical models through numerical experiments

ILO: Personal and key skills

On successfully completing the module you will be able to...

  • 12. Work effectively as part of a multidisciplinary team
  • 13. Evaluate information and summarise it accurately
  • 14. Communicate ideas clearly and concisely

Syllabus plan

Syllabus plan

The module’s precise content will vary from year to year, but the following information gives an detailed description of the typical overall structure. 

The module begins with an introductory lecture and workshop to outline its broad aims, weekly structure, and assessment processes; this session also introduces the scope of using computational models for neuroscientific research. 

In the first two weeks there will be a series of inter-disciplinary small group sessions. In these, for example, Neuroscience students can explore key mathematical concepts under the instruction of students with a background in mathematics. Mathematical students will improve their biological knowledge by working with Neuroscience students. To ensure that all students benefit and have similar learning opportunities, sessions with academic staff will be available for those who need further support. 

For each of the following ten weeks there will be a one-hour lecture and a one-hour workshop during which students use computational models to explore concepts developed in the lecture. 

The final week of the module has a consolidation lecture and workshop, in which students can choose which topic areas they would like to re-visit. 

Students will work in groups of 3-4 students, with at least one Neuroscience and one quantitative student per group. Each group of students will present one paper and perform a project together. 

Students will choose a project at the end of week 6, from one of a list  of projects covering the full range of topics explored in the module. They may also propose their own project, though must check with the module convenor that it is appropriate.  Groups will then spend 6 weeks working on their project, at the end of which each member of the group will complete a 2000 word report interpretting their results. Each group member will receive the same project grade.

 

Lectures

 

  • Introduction to the module
  • Circadian rhythms
  • 3. Entrainment and synchronisation of oscillators
  • 4. The sleep/wake cycle
  • 5. Action potentials in single neurons
  • 6. Multi-rhythms oscillations and pacemaking
  • 7. Central pattern generators
  • 8. Alpha, beta, gamma, theta rhythms
  • 9. EEG and epilepsy
  • 10. Parkinson tremors
  • 11. Pulsatility in neuroendocrine regulations
  • 12. Unity of mechanisms

Learning and teaching

Learning activities and teaching methods (given in hours of study time)

Scheduled Learning and Teaching ActivitiesGuided independent studyPlacement / study abroad
441060

Details of learning activities and teaching methods

CategoryHours of study timeDescription
Scheduled Learning & Teaching12Seminars (12 x1hr)
Scheduled Learning & Teaching22Computer-based workshops (11x2hr)
Scheduled Learning & Teaching10Small group tutorials (10 x1hr)
Guided Independent Study56Further reading and group studies
Guided Independent Study50Research project

Assessment

Formative assessment

Form of assessmentSize of the assessment (eg length / duration)ILOs assessedFeedback method
Group oral presentation of a selected paper10 minutes presentation; 5 minutes questions 1-14Oral

Summative assessment (% of credit)

CourseworkWritten examsPractical exams
50500

Details of summative assessment

Form of assessment% of creditSize of the assessment (eg length / duration)ILOs assessedFeedback method
Research project report501500 word1-14Written
Short Answer Written Examination502 hour1-10Written
0
0
0
0

Re-assessment

Details of re-assessment (where required by referral or deferral)

Original form of assessmentForm of re-assessmentILOs re-assessedTimescale for re-assessment
Research project report (50%)Research proposal (1500 word)1-14Ref/def period
Short Answer Written Examination (50%)Short Answer Written Examination (2 hour)1-14Red/def period

Re-assessment notes

Please refer to the TQA section on Referral/Deferral: http://as.exeter.ac.uk/academic-policy-standards/tqa-manual/aph/consequenceoffailure/

Resources

Indicative learning resources - Basic reading

Calculus Made Easy, by Silvanus Phillips Thompson (for Neuroscience students) 

Neuroscience: Exploring the Brain, by Mark Bear, Barry Connors, Mike Paradiso  (for Mathematics and Natural Sciences students – read Part 1 Foundations)  

Xppaut software for simulating computational models: 

                    http://www.math.pitt.edu/~bard/xpp/xpp.html

                    http://www.math.pitt.edu/~bard/bardware/tut/xpptut.html

Module has an active ELE page

Key words search

Rhythm, synchronisation, computational neuroscience, dynamical disease

Credit value15
Module ECTS

7.5

Module pre-requisites

It is recommended, though not essential, that students have completed an A Level or equivalent in Mathematics.

NQF level (module)

6

Available as distance learning?

No

Origin date

01/10/17

Last revision date

20/08/2020