Fedor Anna, PhD

ETI Evolúciós Alkalmazások Osztály
fedor.anna [at] ecolres.hu
Tevékenységi kör rövid leírása: 

My research area is cognitive neuroscience. My current research topic explores the hypothesis that new ideas and candidate solutions to a problem are generated by an evolutionary process in the brain. While this idea might sound revolutionary, some aspects of it are already present in other well-known models of cognition, for example Bayesian cognitive models. Bayesian models explain how the brain might select from different candidate hypotheses, but they do not explain how these hypotheses are generated. Darwinian Neurodynamics offers the missing explanation: it states that new hypotheses are generated by an evolutionary process. Recently, we implemented Darwinian Neurodynamics in artificial neural networks. The model consists of thousands of attractor networks that are inter-connected. We found that a System of attractor networks is able to find the solution to simple problems, even when the target
(the solution) changes periodically.

Tevékenység, kutatás címszavakban: 
cognitive neuroscience, Bayesian cognitive models, Darwinian neurodynamics
Válogatott publikációk:

2017

András Szilágyi, István Zachar, Anna Fedor, Harold P de Vladar, Eörs Szathmáry (2017): Breeding novel solutions in the brain: a model of Darwinian neurodynamics F1000 Research 2017 5:2416

2011

Anna Fedor, Péter Ittzés, Eörs Szathmáry (2011): Parsing recursive sentences with a connectionist model including a neural stack and synaptic gating Journal of Theoretical Biology 271: pp. 100–105