Sometimes we respond slow, sometimes fast Residue Iteration Decomposition(RIDE) Restoring latency-variable ERP components from single trials Intra-person inter-person variability: y Difficulty for cognitive data analysis subject 2 f Opportunity for studying brain activity-function relation subiect 3 RIDE: ☆Un- mix ERP components 0001200 40 Restore erp component shapes React on time(ms) o Get useful information about sub-process variabl ity in single trials Team. Guang ouyan Werner sommer Changsong Zhou a Department of psychology sh: Dept. Physics, Center for Nonlinear Studies, 3 2 Humboldt University Berlin, Germany Hong Kong Baptist University BER1少 1/28/2021
Residue Iteration Decomposition (RIDE) Restoring latency-variable ERP components from single trials Sometimes we respond slow, sometimes fast Guang Ouyang Changsong Zhou Dept. Physics, Center for Nonlinear Studies, ICTS Hong Kong Baptist University Werner Sommer Department of Psychology Humboldt University Berlin, Germany Team: 1/28/2021 1 Intra-person & inter-person Variability: Difficulty for cognitive data analysis Opportunity for studying brain activity-function relation RIDE: ❖ Un-mix ERP components ❖ Restore ERP component shapes ❖ Get useful information about sub-process variability in single trials
Outline ☆ Motivation: Problems in erP due to latency variability Alternative model for erp Latency variable components ☆R|DE Component decomposition ERP reconstruction Single trial variability Comparison with ICA Applications of ride in neuropsychology ☆ Summary 1/28/2021
Outline ❖Motivation: Problems in ERP due to latency variability ❖Alternative model for ERP: Latency variable components ❖RIDE ➢ Component decomposition ➢ ERP reconstruction ➢ Single trial variability ➢ Comparison with ICA ➢ Applications of RIDE in neuropsychology ❖Summary 1/28/2021 2
How do ERP researchers deal with "noisy"EEG signal? EEG ERP average 5 00 Time(ms) Time(ms) Stimulus onset ERP (Event-related Potential) 1/28/2021
How do ERP researchers deal with “noisy” EEG signal? EEG ERP -200 0 200 400 600 800 1000 Time (ms) -200 0 200 400 600 8001000 -15 -10 -5 0 5 10 15 20 25 Votage (V) Time (ms) (a) (b) average 50 μ V Stimulus onset ERP (Event-related Potential) 1/28/2021 3
Averaging ERPs: Basic Idea EEG following: evoked signal◆ random noi· stimulus MET.24 Random Noise 1/N MM w- NW Constant Signal Averaging Average E P Signal Average noise Number of Averagings (N) 1/28/2021
Averaging ERPs: Basic Idea 1/28/2021 4
ERP components as probes into cognitive stages Stimulus Stage 1 Stage 2 Stage n Response ERP-component 1/28/2021
ERP components as probes into cognitive stages Stage 1 Stage 2 Stage n Stimulus Response ERP-component C1 C2 Cn 1/28/2021 5