The course is practical and aims at teaching students how to:

• Use the programming environment R and RStudio, which includes installation, how to handle errors, problem solve and access helper documents.
• Use basic concepts of programming, such as data types, logical and arithmetic operators, if else conditions, loops and functions.
• Use common R packages to perform basic statistical analysis (e.g., t-test, chi2-test, correlation) and visual presentation (e.g., boxplot, histogram and heat-map) of data in R.

The course is structured with the intent to gradually make students more autonomous in writing code. Starting by introducing a concept through a lecture, then providing formative quizzes and tasks relateed to the concept. This all leads up to a project (exam) where the student gets to combine multiple concepts into a project with the intent of solving a certain problem or displaying specific statistical tests of visual components. 

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