Hava T Siegelmann

Turing on Super-Turing and adaptivity.

Hava T Siegelmann, H. Siegelmann, 2013, Progress in biophysics and molecular biology.

A modeling framework for adaptive lifelong learning with transfer and savings through gating in the prefrontal cortex

Terrence J Sejnowski, Hava T Siegelmann, Ben Tsuda, 2020, Proceedings of the National Academy of Sciences.

Neuronal integration of dynamic sources: Bayesian learning and Bayesian inference.

Lars E. Holzman, Hava T Siegelmann, Lars E Holzman, 2010, Chaos.

Models of Situated Intelligence Inspired by the Energy Management of Brains

Robert Kozma, Hava T Siegelmann, Ray Noack, 2019, 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC).

Logical and symbolic analysis of robust biological dynamics.

Leon Glass, Hava T Siegelmann, L. Glass, 2010, Current opinion in genetics & development.