Amir Porat

This study shows how climbing plants use self-generated motion and mechanical properties to detect and respond to environmental supports.

The paper develops a model of distributed light sensing in plants that predicts perceptual distortions due to nonlinear signal integration, validated through experiments on sunflower seedlings.

The paper studies how apical hook curvature in plants is maintained through local morphogen signaling and global curvature feedback during growth.

The paper develops a theoretical framework to link residual stresses in plant organs to their shape dynamics and shows how tissue incompatibilities can lead to specific growth phenomena.

This paper introduces a theoretical framework for growth-driven collective behavior inspired by plant tropisms, analyzing dynamics of single and interacting organs.