| A | B | C | D | E | F | G | H | I | J | K | |
|---|---|---|---|---|---|---|---|---|---|---|---|
1 | PhD in Mind, Brain, and Human Thought (MBHT) | ||||||||||
2 | Curriculum | Cluster | Module | Course #1 | Course #2 | Course #3 | Course #4 | Course #5 | Course #6 | Course #7 | Course #8 |
3 | Neuroscience, Experimental Psychology, and Psychophysiology (NEPP) | [TS] Technical skills | [TS-DSI] Research design and statistical inference | [TS-DSI-1] Statistical inference in psychological research | [TS-DSI-2] Study design and experimental protocols in psychological science | [TS-DSI-3] Machine learning and data science for psychological research | |||||
4 | [TS-COP] Coding and programming | [TS-COP-1] MATLAB programming for behavioral and brain scientists | [TS-COP-2] Python programming for behavioral and brain scientists | [TS-COP-3] Introduction to command line, shell scripting, and version control | |||||||
5 | [TS-MRI] MRI research: principles, methods, and applications | [TS-MRI-1] Neuroanatomy and neurophysiology for functional imaging | [TS-MRI-2] Biophysical principles of magnetic resonance imaging | [TS-MRI-3] Measures, tools, and analysis pipelines in structural brain imaging | [TS-MRI-4] Preprocessing and univariate modeling of task fMRI data | [TS-MRI-5] Multivariate and advanced analysis of task fMRI data | [TS-MRI-6] Methods and applications of resting-state fMRI data analysis | [TS-MRI-7] Leveraging large-scale multimodal datasets in neuroimaging research | |||
6 | [TS-EEG] EEG research: principles, methods, and applications | [TS-EEG-1] Basics of EEG: data collection, processing and analysis | [TS-EEG-2] Cutting-edge analytical methods for EEG research | ||||||||
7 | [TS-STI] Non-invasive brain stimulation research: principles, methods, and applications | [TS-STI-1] Methods and application of neuromodulation | [TS-STI-2] Transcranial magnetic stimulation: neurophysiological measurements | [TS-STI-3] Advanced Transcranial Magnetic Stimulation and its combination with neuroimaging techniques | [TS-STI-4] Clinical applications of Non-invasive Brain Stimulation | ||||||
8 | [TS-PHY] Psychophysiological research: principles, methods, and applications | [TS-PHY-1] Principles of Biosignal analysis | [TS-PHY-2] Methods and applications of electrodermal activity in psychological research | [TS-PHY-3] Advanced cardiovascular physiology with plethysmography and electrocardiographic analysis | |||||||
9 | [TS-BEH] Behavioral research: principles, methods, and applications | [TS-BEH-1] Virtual lab | [TS-BEH-2] Introduction to psychophysics | ||||||||
10 | [CK] Conceptual knowledge | [CK-AFF] Affective science | [CK-AFF-1] Emotion theory | [CK-AFF-2] Neurobiology of emotion and behavior | [CK-AFF-3] Social cognition and affect | [CK-AFF-4] Clinical psychopathology and psychiatry | [CK-AFF-5] Forensic and legal psychology | ||||
11 | [CK-COG] Cognitive science | [CK-COG-1] Introduction to consciousness and sleep | [CK-COG-2] Introduction to neurolinguistics | [CK-COG-3] Neuroscience of perception and experience-dependent plasticity | [CK-COG-4] Introduction to sensation and perception | [CK-COG-5] Developmental Cognitive Neuroscience | |||||
12 | [RP] Research practices, ethics, and integrity | [RP-ETI] Ethics and Integrity | [RP-ETI-1] Preparing ethical applications for research studies | [RP-ETI-2] Research Integrity and Good Scientific Practices | [RP-ETI-3] Open science and its societal impact | ||||||
13 | [RP-TAP] Research transparency and academic publishing | [RP-TAP-1] Tools for Open Science and Reproducible Research | [RP-TAP-2] Mastering literature review and research tools | [RP-TAP-3] Publication process, publication types, and academic authorship | |||||||