Alljoined1 -- A dataset for EEG-to-Image decoding

Autor:	Xu, Jonathan, Aristimunha, Bruno, Feucht, Max Emanuel, Qian, Emma, Liu, Charles, Shahjahan, Tazik, Spyra, Martyna, Zhang, Steven Zifan, Short, Nicholas, Kim, Jioh, Perdomo, Paula, Mao, Ricky Renfeng, Sabharwal, Yashvir, Shoura, Michael Ahedor Moaz, Nestor, Adrian
Rok vydání:	2024
Předmět:	Quantitative Biology - Neurons and Cognition Computer Science - Artificial Intelligence I.5.1 I.6.3 I.2.6 K.3.2
Druh dokumentu:	Working Paper
Popis:	We present Alljoined1, a dataset built specifically for EEG-to-Image decoding. Recognizing that an extensive and unbiased sampling of neural responses to visual stimuli is crucial for image reconstruction efforts, we collected data from 8 participants looking at 10,000 natural images each. We have currently gathered 46,080 epochs of brain responses recorded with a 64-channel EEG headset. The dataset combines response-based stimulus timing, repetition between blocks and sessions, and diverse image classes with the goal of improving signal quality. For transparency, we also provide data quality scores. We publicly release the dataset and all code at https://linktr.ee/alljoined1. Comment: 8 Pages, 6 Figures
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2404.05553 Zobrazit plný text záznamu View this record from Arxiv