5 papers
Evidence and Intervention: A Coupled Active-Inference Extension of Rational Speech Act Models
Yonghyeon Gwon, Elliot Murphy, Chun Kee Chung
Identical utterance choices can arise from different communicative causes, and identical interpretations can leave different traces in what a listener learns. Rational Speech Act (…
BAT-CLIP: Trimodal Alignment of Brain, Audio and Text
Suhyun Kim, Jinmo Han, Danny Dongyeop Han +9
Decoding and interpreting naturalistic speech from the brain increasingly relies on alignment to pretrained speech and language representation spaces. However, current CLIP-style b…
iMINDBench: iEEG Multi-Institution Neural Decoding Benchmark
Geeling Chau, Saba Hashemi, Yonghyeon Gwon +9
Intracranial electroencephalography (iEEG) is widely used to record electrical activity directly from electrodes inside the human brain, making it an attractive modality for neural…
DIVER-1: Scaling Intracranial EEG Foundation Models for Transferable Representations
Danny Dongyeop Han, Yonghyeon Gwon, Ahhyun Lucy Lee +10
Intracranial EEG (iEEG) provides direct, millisecond-scale recordings of human neural activity, but reusable representation learning is difficult because electrode layouts, anatomi…
DIVER-0 : A Fully Channel Equivariant EEG Foundation Model
Danny Dongyeop Han, Ahhyun Lucy Lee, Taeyang Lee +7
Electroencephalography (EEG) is a non-invasive technique widely used in brain-computer interfaces and clinical applications, yet existing EEG foundation models face limitations in…