Anita Mehta

Research interests: complexity in natural and intelligent systems

My current research is focused on complexity in natural as well as intelligent systems. In the category of natural systems, my focus remains granular physics, with an emphasis on heterogeneities (static and dynamical), nucleation phenomena in compaction and surface dynamics. In the category of intelligent systems, I am trying to understand memory storage and preservation, with special reference to the differentiation between long- and short-term memories. Other areas in which I've worked recently are game-theoretic models of strategic learning, network dynamics and their role in risk minimisation, optimal encodings on landscapes for NP-complete problems, zero-temperature dynamics in constrained systems, and the design and analysis of experiments on perception.

Curriculum Vitae and list of publications
Profile in ICTP News, Spring 2005
Selected papers
Animations of a model of competitive learning (needs Java!)

Timescales for learning and forgetting in models of interacting synapses, see Europhysics Letters 2011 and PLoS One 2011