Hava T. Siegelmann

This paper identifies key proteins in CLL using statistical thermodynamics and systems biology, advocating for multi-target inhibition strategies to improve therapy design.

This paper shows how neuromodulators alter neural network behavior by shifting activity flows through hyperchannels, enhancing computational flexibility in a recurrent neural network model.

This paper introduces a neural network framework called DynaMoE to model how the prefrontal cortex encodes, stores, and switches between schemas, demonstrating transfer learning and memory savings.

The paper analyzes thermodynamic measures of human brain development using Gibbs free energy from protein-protein interaction networks across age and sex.

The paper analyzes thermodynamic measures of human brain development by examining Gibbs free energy in protein-protein interaction networks across age and sex.