|Language of instruction||Dutch|
|Offered by||Radboud University; Faculty of Science; BioWetenschappen; |
|KW2|| (13/11/2017 to 04/02/2018)|
|Registration using OSIRIS||Yes|
|Course open to students from other faculties||Yes|
- The student can analyse linear systems ain the time domain and frequency domain, and draw conclusions for the systems response to arbitrary stimuli
- The student can build elementary neural models and simulate them in the computer with Simulink
- The student can apply the elementary principles of spike analysis techniques
- The student understands psychofysical methods and analyse psychophysical data
- The student understands neuronal models and the concepts of receptive fields and movement fields
- The student understands the principles, advantages and limitations of the most important methods in modern Neuroscience and can identify the best technique(s) to study a given neurophysiological problem.
• Sinauer Associates, Neuroscience, Dale Purves editor, vijfde druk (aanbevolen). Oudere internet versie (3e druk) zal worden bekendgemaakt bij aanvang cursus; € 75.
• Dictaten en handleidingen (op Blackboard)
• 12 hours computer course
• 46 hours lecture
• 2 hours laboratory course
• 22 hours question session
• 14 hours problem session
• 72 hours individual study period
Extra information teaching methods: lectures - exercises (werkcolleges) - response hours - computer practica - neurophysiology practicum
|• Participation in the Werkcolleges, Computerpractica, Practica, en Demonstrations is obligatory.|
• Students can earn a maximum full bonus point for the werkcollege exercises and computer practicum assignments.
• A positive score ('voldoende') for these activities is a prerequisite to be allowed access at the written exam.
contact: prof. dr. A.J. van Opstal, 3614251, firstname.lastname@example.orgThe maximum number of students for this course is 40.
The course is given on Thursdays and Fridays of the second quarter.
|The following topics are part of the course:|
• Linear models and systems theory with applications in neuroscience: oculomotor system (saccades, vestibular system) en auditory system, visual system.
• Time domain and spectral analysis of neural systems
• Introduction to modelling cells and neural networks
• Introduction to psychophysics
• Temporal, spatial, and population coding by neurons: receptive fields, recruitment, noise
• Spike-train analysis (information theory, Poisson models, cluster analysis, spike detection)
• Neurophysiological methods:
• electrophysiology (single-unit, multiunit, local field potentials)
• neuroimaging (EEG, MEG, fMRI)
• two-photon imaging, optogenetics
• microstimulation, neuropharmacological techniques, lesions.
|• Basic knowedge of neuro-anatomy and neurophysiology |
• Second-year course "Hersenen en Gedrag" (Brain and Behaviour)
• Theory of action potential generation (Hodgkin & Huxley; electrochemical mechanisms at neuronal membrane), and neurotransmission
• Basic theoretical and applied knowledge of math and physics for Biologists (level VWO Wi-B): E.g., simple first-orde linear differential eqns., simple integrals, the exponential function and logarithms.
|The needed literature will be published on Blackboard|
|Sinauer Associates, Neuroscience, Dale Purves editor, fifth edition|
|Practical computer training|
|Opportunities||Block KW2, Block KW4|