Abstract I investigate strategies for semantic decoding from minimal-channel, consumer-grade EEG systems. Using only four electrodes and 50–100 word stimuli, I evaluate convolutional architectures on two semantic tasks including emotional valence and part-of-speech discrimination (specifically, noun/verb classification). To address limited data, I introduce (1) a data amplification method based on short-time FFT snapshots and (2) an embedding-constrained EEG architecture that

What is the relationship between cognitive flexibility and the Orbitofrontal Cortex?

This year was the second year in a row Teen Neuroscience Alliance hosted Neurocamp . But this year was different from the last year, for...