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UID:pretalx-sips2025-budapest-8PH7YF@pretalx.com
DTSTART;TZID=CET:20250625T100000
DTEND;TZID=CET:20250625T100700
DESCRIPTION:The field of cognitive neuroscience has accumulated a vast amou
 nt of EEG data\, yet new studies often prioritize fresh data collection ov
 er utilizing these existing resources. Repurposing publicly available EEG 
 datasets presents a cost-effective and efficient way to explore novel hypo
 theses. However\, EEG analysis involves complex preprocessing and interpre
 tation steps\, where subjective decisions\, such as artifact rejection\, f
 iltering techniques\, and statistical methods\, can significantly impact r
 esults. To enhance transparency and reliability\, a collaborative framewor
 k in which more than one researcher independently analyses the same EEG da
 taset and identifies robust findings can be a significant step forward. Th
 is approach not only mitigates individual biases but also promotes best pr
 actices in EEG research within the open science movement. In this talk\, w
 e highlight the potential of existing EEG datasets\, discuss strategies fo
 r fostering community-driven EEG analysis\, and call for collective collab
 oration in this endeavor.
DTSTAMP:20260516T054656Z
LOCATION:Underground\, p10
SUMMARY:LT1: Harnessing Existing EEG Datasets for Novel Hypothesis Testing 
 - Shubham Pandey
URL:https://pretalx.com/sips2025-budapest/talk/8PH7YF/
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