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Systems and Circuit Neuroscience (ANAT0020)

Key information

Faculty
Faculty of Life Sciences
Teaching department
Division of Biosciences
Credit value
15
Restrictions
The module is compulsory for MSc Neuroscience students. It may also be taken as an option by students on the Dual Masters in Brain and Mind Sciences, the MSc Biomedical Sciences or the MRes Biosciences.
Timetable

Alternative credit options

There are no alternative credit options available for this module.

Description

The module discusses the auditory and visual systems, covering sensory conduction in the sensory periphery to neural cording in sensory cortex. Multiple animal models (rodent, ferret, and humans) and techniques (electrophysiology, 2-photon microscopy, optogenetics, MEG and fMRI) will be discussed. Students will become familiar with the cutting-edge research into Systems and Circuit based analysis in Neuroscience.

Indicative lecture list

Week 1: Vision: receptors, subcortical, developmental

  • Development of the primate area of high visual acuity
  • Learning to integrate the senses
  • Visual optics, rods and cones and retinal processing
  • Parallel pathways for vision

Week 2: Vision: cortex, perception

  • Cortical circuits for vision
  • Sensation in action
  • Canonical Computations in Visual Cortex
  • Seeing through the clutter: Crowding and peripheral vision

Week 3: Mechanotransduction and spatial hearing

  • Hearing with antennae: acoustic communication in fruit flies and disease-transmitting mosquitoes
  • Hearing or how the cochlea does a hard job with soft parts
  • Sound localisation - an example of subcortical auditory processing
  • Learning to hear sounds in space

Week 4: Audition: cortex, perception

  • Audiovisual integration in auditory cortex
  • Putting sounds in context
  • Studying temporal patterns with MEG
  • Speech processing in the auditory system

Module deliveries for 2024/25 academic year

Intended teaching term: Term 2 ÌýÌýÌý Postgraduate (FHEQ Level 7)

Teaching and assessment

Mode of study
In person
Methods of assessment
50% Exam
50% Coursework
Mark scheme
Numeric Marks

Other information

Number of students on module in previous year
42
Module leader
Professor Daniel Bendor
Who to contact for more information
d.bendor@ucl.ac.uk

Last updated

This module description was last updated on 8th April 2024.

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