This course will cover:

• Intro to Jupyter Notebooks, IDEs
• Intro Python (loops, variables, functions)
• Core packages (Numpy, Pandas, Matplotlib, Seaborn)
• Accessing folders (shell, OS)

The module presents a variety of fundamental models and methods from computational neuroscience. By solving daily exercises the students learn how to practically apply the acquired concepts. The course introduces the employed more
advanced mathematical tools embedded into the different topics. Further there will be a pre-course teaching the required programming skills in python.

We will investigate mainly fish brains, but also some invertebrate model systems to get on overview of the major differences in neuronal organization between them. Sensory and motor pathways will be compared and pathways will be traced from primary sensory centres through higher integrative centres to motor command areas.

Topic 1: Pharmacologically relevant signalling pathways
Topic 2: Drugs for the treatment of pain: local anaesthetics, opioids
Topic 3: Drugs influencing vigilance: hypnotics, general anaesthetics
Topic 4: Treatment of psychiatric diseases: antipsychotics, antidepressants
Topic 5: Drugs of abuse: opioids, cannabinoids
Topic 6: Neurodegenerative disorders
Methods 1: Drug mechanisms and signalling in neurons
Methods 2: Modulation of neurotransmitter release in brain slices
Methods 3: Standard behavioural tests in drug development - pharmaceutical industry
Methods 4: Development of innovative drugs – gene and cell therapies
Methods 5: Regulatory Affairs

Methodology and Theory of Cognitive Neuroscience:

• Psychology: what makes it a science?
• Experimental strategies: psychophysiology, neuropsychology
• Philosophical implications of cognitive neurosciences

Cognitive Neuroscience: main findings on brain-function relationships

Clinical Neurophysiology and Imaging:

• Electroencephalography (EEG) as a neurodiagnostic tool
• Advanced methods of EEG analysis: coherence, fast Fourier, non-linear and other analysis
• Structural and functional brain imaging as neurodiagnostic tools

Experimental Psychophysiology:

• Electrophysiology: event-related potentials, non-invasive and invasive
• Magnetic resonance tomography: functional neuroimaging (fMRI)

Clinical Neuropsychology:

• Neuropsychological assessment
• Cortical electrostimulation
• WADA test

6. Experimental Neuropsychology

• Animal models of behavioural deficits in epilepsy