- decision theory, classifiers, learning
- models of parallel computation, data-parallelism
- psychophysics, neuroanatomy, neurophysiology
- individual neurons, synapses, Hebbian learning, pattern generators, McCullogh-Pitts, spiking neural networks, boolean circuits
- visual pathways, visual neurophysiology, what/where, stereo, motion, color
- physics-based and computational models of motion, stereo, color perception
- visual object recognition and learning: HMAX, spiking models, learning, slow features, deep learning, sparsity
- attentional mechanisms, segmentation
- recurrent neural networks, echo state networks
- unsupervised learning: self-organizing maps, clustering, PCA, ICA
- self-assembly, organic computing
- multi-agent system
- evolutionary algorithms
First Session: 16 April 2013
Weekly sessions every Monday 15:30 - 16:15 (Starting from 22.04.2013). Room: 48 - 211 (info on KIS
In addition to the worksheets/lecture notes, you may find the following books helpful as references:
- 23-25 July 2013
- 15-17 October 2013
- Admission (Zulassung): completing at least 50% of the assignments averaged over all handed out tasks is required for admission to the exam.
- You should bring all the submitted assignments to the exam session.
- Oral exam Guide + Worksheet
- Sample questions that might be asked in an exam.
- Registration: Please contact email@example.com to arrange an appointment for the oral exam at least a month prior to the desired date (the exam appointment should also be registered with the Prüfungsamt. Please note that registration with the Prüfungsamt should be done 15 days before the exam appointment itself.).