| | | | Course module | | NWI-BB021B | Category | | - | Language of instruction | | English | Offered by | | Radboud University; Faculty of Science; BioWetenschappen; | Lecturer(s) | | | | Academic year | | 2018 | | Period | | KW2 | (05/11/2018 to 27/01/2019) |
| Starting block | | KW2 | |
| Course mode | | full-time | |
| Remarks | | - | Registration using OSIRIS | | Yes | Course open to students from other faculties | | Yes | Pre-registration | | No | Waiting list | | No | Placement procedure | | - |
| | | | | |
- 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.
|
| |
|
|
• 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, j.vanopstal@science.ru.nlThe 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. |
| | | Required materialsBlackboardThe needed literature will be published on Blackboard |
|
|
Recommended materialsBookSinauer Associates, Neuroscience, Dale Purves editor, fifth edition |
|
|
Instructional modesComputer practicalAttendance Mandatory | | Yes |
| Course occurrence
| Lecture
| Practical computer trainingAttendance Mandatory | | Yes |
| Response course
| Tutorial
| Zelfstudie
|
| TestsTentamenTest weight | | 1 |
Opportunities | | Block KW2, Block KW3 |
|
|
| | |
| |
| |