Explores the physics of genetic and cellular systems, focusing on fragility, negative feedback loops, and sensory motor networks in the C. elegans brain.
Explores the mathematical framework and challenges of modeling neurons, discussing passive and active membrane mechanisms and the representation of the membrane as an electrical circuit.
Explores predicting protein structure from sequence data and inferring interaction partners through Direct Coupling Analysis and the Iterative Pairing Algorithm.
Explores the biophysical understanding of neuronal electrical behavior, including challenges in modeling neurons, the generation of action potentials, and the impact of dendritic structure on firing patterns.
Explores the application of control theory to manage protein aggregation processes, focusing on amyloid fibers and their implications in various diseases.
Covers the principles and applications of Atomic Force Microscopy (AFM) for nanoscale metrology, including imaging modes, tip-sample interactions, and image processing.
