Computational models to study language processing in the human brain: A survey

S Wang, J Sun, Y Zhang, N Lin, MF Moens… - arXiv preprint arXiv …, 2024 - arxiv.org
Despite differing from the human language processing mechanism in implementation and
algorithms, current language models demonstrate remarkable human-like or surpassing …

Neural architecture of speech

SR Oota, K Pahwa, M Marreddy… - ICASSP 2023-2023 …, 2023 - ieeexplore.ieee.org
A vast literature on brain encoding has effectively harnessed deep neural network models
for accurately predicting brain activations from visual or text stimuli. Unfortunately, there is …

Deep neural networks and brain alignment: Brain encoding and decoding (survey)

SR Oota, Z Chen, M Gupta, RS Bapi, G Jobard… - arXiv preprint arXiv …, 2023 - arxiv.org
Can we obtain insights about the brain using AI models? How is the information in deep
learning models related to brain recordings? Can we improve AI models with the help of …

BrainLM: Estimation of Brain Activity Evoked Linguistic Stimuli Utilizing Large Language Models

Y Luo, I Kobayashi - … on Systems, Man, and Cybernetics (SMC), 2023 - ieeexplore.ieee.org
In recent years, with the recent remarkable development of large-scale language models in
natural language processing research, there has been an increasing number of studies …

Fundamentals of Encoders and Decoders in Generative AI

RK Barbhuiya, N Ahmad, C Paul, R Alam… - Generative AI: Current …, 2024 - Springer
At the vanguard of technological innovation, the field of generative AI is revolutionizing the
ways machines engage with and support human creativity. Generative AI, in contrast to …

Exploring Individual and Sex Differences from Brain EEG Signals under Music Stimuli

Y Luo, S Nishida, I Kobayashi - 2024 Joint 13th International …, 2024 - ieeexplore.ieee.org
The intrinsic mechanisms of how the human brain processes music, a complex and abstract
linguistic system, have remained incompletely resolved. Therefore, using experimental data …