Powerpoint Slides from ERP Boot Camp Lectures
These are the lectures for the UC-Davis ERP Boot Camp. We make them available for use by researchers and educators. All slides © S. J. Luck, except as indicated in the notes sections of individual slides. Slides may be used for nonprofit educational purposes if this copyright notice is included, except as noted. Permission must be obtained from the copyright holder(s) for any other use. Last updated 7/23/2015.
1. Intro to ERPs: What are ERPs and What are They Good For?
History of ERP Research; Basics of Electricity and Neuroscience; Generation of ERPs in the Brain; What are ERPs Good For? |
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2. Background Issues and ERP Components
EEG; Basics of Fourier Analysis and Filtering; Baseline Correction; Difference Waves; Common ERP Components |
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3. Recording the EEG
Electrodes, amplifiers, referencing, digitization |
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4. Examples of Experimental Design
Basic science examples |
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5. Understanding ERP Components and Experimental Design
Peaks vs components, the superposition problem, component overlap, typical design problems and solutions |
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6. Artifact Detection and Rejection
Artifact Detection and Rejection |
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7. Artifact Correction with Independent Component Analysis
General overview of how artifacts can be corrected with ICA |
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8. Averaging
Signal-to-noise ratio, individual differences, latency jitter and convolution, steady-state responses, overlap |
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9. Filtering and Linear Systems Analysis
Fourier analysis, filtering in the frequency domain, filtering in the time domain, convolution and the relationship between the time and frequency domains, examples of filter distortion |
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10. Plotting & Measurement
Plotting, measuring amplitudes and latencies, choosing measurement windows |
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11. Statistics
Basic statistical approaches, the jackknife approach, electrode interactions and normalization, heterogeneity of covariance and the epsilon adjustment, mass univariate approach |
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12. ERP Localization
The forward and inverse problems, equivalent current dipole approaches, distributed source approaches, MEG, hypothesis-testing approach |
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13. General Principles of Time-Frequency Analysis
Conceptualization of time-frequency analysis as a type of filtering, critical analysis of the ability of time-frequency analyses to obtain evidence concerning bona fide oscillations |
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14. Setting Up and Running an ERP Lab
Recording chambers, seating, response devices, hints for running subjects, ethical issues, stimulus presentation |
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