Do it!

6/n This unique EEG-fMRI dataset is the first large-scale, multimodal neuroimaging dataset for 3D visual perception. We will make this rich and novel resource openly available to support future investigations~

5/n Also, check this super cool figure of the timecouse of spatial processing in human brains!

4/n In addition to feature- and coordinate-level representations, We further provide novel evidence for 3D geometric distance representations in regions such as the parahippocampal cortex, highlighting its role in encoding higher-order spatial structure.

3/n We demonstrate that the human brain flexibly encodes spatial information using multiple spatial features in multiple coordinate systems at different points in time and brain space.

2/n Our findings reveal a spatiotemporal gradient in the encoding of spatial features: early, widespread representations of 2D features, followed by later, more selective depth and 3D feature encoding across distinct cortical regions.

1/n Here we introduce a multimodal framework combining individualized perceptual depth calibration, large-scale EEG and fMRI recordings (over 66,000 trials in total across 10 participants), and computational approaches to characterize neural encoding of 3D spatial locations.

The blue-highlighted projects are the three main studies I’ll cover in my dissertation talk.
The red boxes mark the four projects I’m most proud of during my PhD.

Congrats, Brynn!

doi.org/10.48550/arx...

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