Brain and Cognitive Science Inspired Deep Learning: A Comprehensive Survey

Z Zhang, X Ding, X Liang, Y Zhou… - IEEE Transactions on …, 2025 - ieeexplore.ieee.org
Deep learning (DL) is increasingly viewed as a foundational methodology for advancing
Artificial Intelligence (AI). However, its interpretability remains limited, and it often …

From empirical problem-solving to theoretical problem-finding perspectives on the cognitive sciences

F Adolfi, L van de Braak, M Woensdregt - Computational Brain & Behavior, 2024 - Springer
Meta-theoretical perspectives on the research problems and activities of (cognitive)
scientists often emphasize empirical problems and problem-solving as the main aspects that …

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 …

Improving semantic understanding in speech language models via brain-tuning

O Moussa, D Klakow, M Toneva - arxiv preprint arxiv:2410.09230, 2024 - arxiv.org
Speech language models align with human brain responses to natural language to an
impressive degree. However, current models rely heavily on low-level speech features …