This introductory course starts with the structure of the nervous
system, how it operates and how it develops. The basic concepts at the cellular and the systems level, in particular the visual and the visuomotor systems, are described. Also, a number of techniques are reviewed for recording from the brain, both invasively and non-invasively. Several computational models of the nervous system are discussed with focus on vision, sensory-motor integration, learning, and memory.
No specific requirements.
Part I: The nervous system
neuron, action potential, synapse, channel regulation and memory, visual
system, neural maps and the development of the visual system, reaching
Part II: Recording from the brain
invasive and non-invasive recording
Part III: Computational neuroscience
principles, Reichardt detector, models of complex motion and actions,
convolutional and self-organizing neural networks
Slides, transparencies, courseware
Examples and samples
Is also included in other courses
- Master of Artificial Intelligence 60 ects.
Description of learning activities
course slides, course texts
example questions for the exam