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Apprentice Mode
10 Modules / ~100 pages
Wizard Mode
~25 Modules / ~400 pages

Cognitive Neuroscience Research Methods
( 25 Modules )

Module #1
Introduction to Cognitive Neuroscience
Overview of the field of cognitive neuroscience, its history, and its significance
Module #2
Research Questions and Hypotheses
Formulating research questions, generating hypotheses, and understanding the importance of theory in cognitive neuroscience research
Module #3
Experimental Design
Introduction to experimental design principles, including independent and dependent variables, controls, and confounds
Module #4
Neuroimaging Methods:Structural MRI
Principles and applications of structural magnetic resonance imaging (MRI) in cognitive neuroscience research
Module #5
Neuroimaging Methods:Functional MRI
Principles and applications of functional magnetic resonance imaging (fMRI) in cognitive neuroscience research
Module #6
Electrophysiology Methods:EEG
Principles and applications of electroencephalography (EEG) in cognitive neuroscience research
Module #7
Electrophysiology Methods:ERP
Principles and applications of event-related potentials (ERP) in cognitive neuroscience research
Module #8
Lesion and Stimulation Methods
Principles and applications of lesion and stimulation methods, including TMS and tDCS, in cognitive neuroscience research
Module #9
Behavioral Methods
Introduction to behavioral methods, including psychophysics, reaction time, and survey designs
Module #10
Data Analysis:Statistical Fundamentals
Introduction to statistical analysis, including hypothesis testing, confidence intervals, and significance
Module #11
Data Analysis:Neuroimaging Data
Principles and applications of data analysis for neuroimaging data, including preprocessing, registration, and statistical analysis
Module #12
Data Analysis:Electrophysiology Data
Principles and applications of data analysis for electrophysiology data, including filtering, artifact correction, and time-frequency analysis
Module #13
Data Visualization
Introduction to data visualization principles and tools, including matplotlib, seaborn, and Plotly
Module #14
Research Ethics and Participant Safety
Ethical principles and guidelines for conducting research with human participants, including informed consent, privacy, and risk management
Module #15
Study Design:Between-Subjects and Within-Subjects
Design principles for between-subjects and within-subjects studies, including advantages, disadvantages, and applications
Module #16
Study Design:Quasi-Experimental and Observational Designs
Design principles for quasi-experimental and observational studies, including advantages, disadvantages, and applications
Module #17
Meta-Analysis and Systematic Review
Introduction to meta-analysis and systematic review methods, including search strategies, data extraction, and effect size calculation
Module #18
Publishing and Communicating Research
Guidelines for publishing research in cognitive neuroscience, including manuscript preparation, peer review, and science communication
Module #19
Grant Writing and Funding
Principles and strategies for writing grant proposals, including funding agencies, review criteria, and budget preparation
Module #20
Collaboration and Team Science
Importance of collaboration in cognitive neuroscience research, including team dynamics, communication, and conflict resolution
Module #21
Open Science and Reproducibility
Principles and practices of open science, including data sharing, preregistration, and reproducibility
Module #22
Cognitive Neuroscience and Neurotechnology
Applications of cognitive neuroscience in neurotechnology, including brain-computer interfaces and neurofeedback
Module #23
Cognitive Neuroscience and Clinical Applications
Applications of cognitive neuroscience in clinical settings, including diagnosis, treatment, and rehabilitation
Module #24
Cognitive Neuroscience and Education
Applications of cognitive neuroscience in education, including learning theories, instructional design, and educational neuroscience
Module #25
Course Wrap-Up & Conclusion
Planning next steps in Cognitive Neuroscience Research Methods career


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