
Explore the functional specificity of the human brain, examining key questions, methodologies, and findings in cognitive neuroscience with MIT researcher Nancy Kanwisher.

Exploring how domain-specific organization in the brain emerges from computational optimization for face and object recognition tasks, using artificial neural networks to model cortical segregation.

Explore gravitational interactions in binary star systems using a simulator. Learn about energy calculations, angular momentum, and the fascinating patterns of orbital motion.

Explore computational modeling of early 20th-century physics discoveries, focusing on wave functions and expectation values in quantum mechanics through practical examples and numerical integration.

Explore the Tolman-Eichenbaum Machine, a computational model unifying memory and spatial navigation in the hippocampus. Learn about its architecture, performance, and implications for neuroscience.

Explora la teoría y modelado de la fractura dinámica en sólidos frágiles, desde enfoques clásicos hasta modelos no locales multiescala, abordando desafíos computacionales y simulaciones peridinámica.

Exploring vocal communication's role in coordinating collective actions among spotted hyenas, using advanced tracking technology to study complex social dynamics in wild animal groups.

Explore biologically plausible models of swim center pattern generators in sea slugs, examining network-level bursting, stability mechanisms, and resilience to perturbations using dynamical systems and machine learning.

Explore cloud parameterization and system-resolving models in climate science. Gain insights into innovative approaches for modeling complex atmospheric processes and their implications.

Explore the fluid dynamics of wildfires, their environmental impact, and how Computational Fluid Dynamics can model and potentially prevent these destructive natural phenomena.

Build a computational simulation for projectile motion, demonstrating physics principles through coding. Enhance understanding of trajectory, velocity, and gravitational effects using interactive programming techniques.

Explore quantum mechanics and the hydrogen atom through computational modeling, gaining insights into early 20th-century physics discoveries that revolutionized our understanding of the universe.

Explore x-ray diffraction to understand atomic structures in solids. Computational modeling demonstrates this key concept in modern physics, revolutionizing our understanding of materials.

Explore relativity through computational modeling, examining length contraction and time dilation as key concepts in modern physics. Gain insights into early 20th-century discoveries that revolutionized our understanding of the universe.

Explores the relationship between stellar feedback and star formation in dense compact star clusters, discussing implications for early galaxy formation and cosmic dawn observations from JWST.

Explore chromatin architecture from nucleosomes to chromosomes, unraveling its complex organization and role in gene regulation through interdisciplinary perspectives and cutting-edge research.

Explore computational modeling techniques for active systems, focusing on advanced concepts and practical applications in the field of active matter.

Explore computational modeling techniques for active systems, focusing on advanced concepts and practical applications in the field of active matter.

Explore computational modeling techniques for active systems, focusing on fundamental principles and practical applications in the field of active matter.

Explore chromatin 'readers' as molecular architects shaping metabolic landscapes. Delve into interdisciplinary aspects of chromatin organization and gene regulation in this comprehensive lecture.

Explore cell-type specific impacts of disease-associated mutations on chromatin organization and gene regulation through interdisciplinary approaches and cutting-edge techniques.