• History of ERP Research
  • Basics of Electricity and Neuroscience
  • Generation of ERPs in the Brain
  • What are ERPs Good For?
  • EEG
  • Basics of Fourier Analysis and Filtering
  • Baseline Correction
  • Difference Waves
  • Common ERP Components
  • Electrodes
  • Amplifiers
  • Referencing
  • Digitization
  • Sustained Attention
  • Attentional Blink
  • Peaks vs components
  • The superposition problem
  • Component overlap
  • Typical design problems and solutions
  • Blnks
  • Eye movements
  • Other artifacts
  • Detection algorithms
  • Threshold for rejection
  • Nature of ICA
  • Meaning of "independent" in ICA
  • Reconstructing data without artifactual components
  • Practical considerations
  • Signal-to-noise ratio
  • Individual differences
  • Latency jitter and convolution
  • Steady-state responses
  • Overlap
  • Fourier analysis
  • Filtering in the time and frequency domains
  • Convolution and the relationship between the time and frequency domains
  • Examples of filter distortion
  • Plotting
  • Measuring amplitudes and latencies
  • Relating ERP latencies to reaction times
  • Choosing measurement windows
  • Choosing electrode sites
  • Basic statistical approaches
  • The jackknife approach
  • Electrode interactions and normalization
  • Heterogeneity of covariance and the epsilon adjustment
  • Mass univariate approach
  • The forward and inverse problems
  • Equivalent current dipole approaches
  • Distributed source approaches
  • MEG
  • Hypothesis testing
  • Relationship between time-frequency analysis and filtering
  • Distinguishing between transient activity and bona fide oscillations
  • Interpreting time-frequency results
  • Ethics and the responsible conduct of research
  • Recording chambers
  • Seating
  • Response devices
  • Hints for running subjects
  • Stimulus presentation