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Pre-school: first 3 working days
The preschool will take place at FIAS and the Max-Planck Institute for Brain Research (MPIH) in Frankfurt.
- The aim of the pre-school is to establish a common knowledge base among all participants and ensure a common language.
- The first three days of the pre-school have two parallel tracks (track 1: theory for experimentalists, track 2: experimental background for theorists), where every student will be trained in the area they are least familiar with to fill in gaps in the students knowledge:.
- Theorists will be trained in basic concepts of neuroscience. The courses will be conducted by Prof. Ralf Galuske (TU Darmstadt), Sergio Neuenschwander (MPIH), Danko Nikolic (MPIH), Kerstin Schmidt (MPIH) and Prof. Wolf Singer (FIAS, Max-Planck Institute for Brain Research).
- Experimental neuroscientists will be trained in basic concepts of network theory and complex systems. The courses will be conducted by Christoph von der Malsburg (FIAS), Gordon Pipa (FIAS, MPIH), Jochen Triesch (FIAS), Cornelius Weber (FIAS), and Junmei Zhu (FIAS)
School:
- 1st week (last day)
Neuronal anatomy - Basics in modelling of neurons - Neurophysiology
This first day of the summer school will provide an introduction to some of the main concepts of neuronal systems and information processing. We will start the lecture series by giving an overview of the main concepts related to information processing in mammalian cortices, from single cells to processing supported by synergetic activity in large neuronal networks.
- 2nd week
Data analysis and modeling of neurons and small networks
The second week is devoted to the characterization and analysis of neural recordings, as well as the description and modeling of neurons, synapses and small networks. Methods for the statistical analysis of spike trains will be presented. Neuron models at different levels of abstraction (spiking vs. non-spiking, compartmental vs. point neuron) will be introduced, and their dynamic properties will be described. Models of synaptic plasticity mechanisms will be presented. The dynamics and learning abilities of small neuron networks will be discussed.
- 3nd week
Modeling Higher level cognitive functions, outlook to other complex systems
The third week introduces two approaches for modeling higher cognitive functions: more abstract models of large neural systems e.g. reward systems, and functional perspectives on brain function, e.g. from information theory, probabilistic inference, network theory, etc. In addition, issues related to embodiment will be discussed.
Weekend program (tentative)
August, 3th
- Canoe race on the river Main and welcome party in the evening
August, 10th
- Guided tour through Frankfurt
August, 17th
August, 24th
- Farewell party - with typical food from the Frankfurt area
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