Computational Modelling in Behavioural Neuroscience : Closing the Gap Between Neurophysiology and Behaviour

By D. Heinke, E. Mavritsaki. 2009

30 citations recorded by the source corpus.

Subfields: Artificial Intelligence

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Sebastian Risi
2. Andrea Soltoggio
3. Kenneth O. Stanley
4. Jeff Clune
5. Joel Lehman
6. Jean-Baptiste Mouret
7. Risto Miikkulainen
8. Paul Tonelli

Citations in the corpus

• Born to Learn: the Inspiration, Progress, and Future of Evolved Plastic Artificial Neural Networks (2017, background): “It is also important to note that EPANN do not have the neurophysiological constraints of biological systems, e.g., short neural connections, sparsity, brain size limits, etc., which impacts the evolution of particular architectures such as modularity (Bullinaria, 2007b, 2009a).”