Notes
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A collection of fragments of understanding in the pursuit of deeper questions.
Contents
- Computational Vision
- Introduction to Data Science
- Translational Neuromodeling
- Deep Learning in Artificial & Biological Neuronal Networks
- Introduction to Neuroinformatics
- Intro to Neuroscience
- Systems Neuroscience
- Readings in Neuroinformatics
- Neurobiology of Consciousness
- Econometrics
- Principles of Finance
- Big Data & Databases
- Game Theory
- Intro to Blockchain
- Marketing Analytics
- Financial Accounting
- Fundamentals of Computer Science
- Foundamentals of Information Technology Law
- Statistics
- Computer Programming
- Macroeconomics
- EU Information Law & Data Economy
- Advanced Mathematics & Statistics
- Principles of Management
- Mathematics
- Microeconomics
Research Methods in Cognitive Neuroscience
Overview
- Correlative techniques:
- (f)MRI: Basic approach and terminology
- The BOLD signal
- Design of fMRI experiments
- Analysis of fMRI experiments: Statistical Parametric Mapping (SPM)
- Causal techniques:
- History of causal techniques: Lesion studies and invasive stimulation
- Transcranial Magnetic Stimulation (TMS): Biophysics
- TMS: Neurophysiology and types of stimulation protocols
- Transcrantial electric stimulation (tES): Biophysics
- tES: Neurophysiology and types of stimulation protocols
What's the "f" in fMRI?
- MRI = Magnetic Resonance Imaging
- Non-invasive imaging technique that employs principles of magnetic resonance to visualise different tissue types.
- Anatomical imaging: usually one image acquired; slow (minutes) but accurate (sub-mm spatial resolution)
- fMRI = Functional Magnetic Resonance Imaging
- Employs special sequences that are:
- sensitive to blood oxygenation (see later)
- fast to acquire (whole brain in approx. 2-3 seconds)
- Timeseries: Numerous images that represent timecourse of blood oxygenation during experimental task.