Copying and Evolution of Neuronal Topology
By Chrisantha Fernando, K. Karishma, Eörs Szathmáry. 2008
51 citations recorded by the source corpus.
We propose a mechanism for copying of neuronal networks that is of considerable interest for neuroscience for it suggests a neuronal basis for causal inference, function copying, and natural selection within the human brain. To date, no model of neuronal topology copying exists. We present three increasingly sophisticated mechanisms to demonstrate how topographic map formation coupled with Spike-Time Dependent Plasticity (STDP) can copy neuronal topology motifs. Fidelity is improved by error correction and activity-reverberation limitation. The high-fidelity topology-copying operator is used to evolve neuronal topologies. Possible roles for neuronal natural selection are discussed.
Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience, Electrical and Electronic Engineering
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cellular and Molecular Neuroscience
- Sebastian Risi
- Kenneth O. Stanley
- Andrea Soltoggio
- P. Husbands
- Eörs Szathmáry
- Chrisantha Fernando
- Harold P. de Vladar
- Jeff Clune
In Cognitive Neuroscience
- Sebastian Risi
- Kenneth O. Stanley
- Andrea Soltoggio
- P. Husbands
- Harold P. de Vladar
- Eörs Szathmáry
- Chrisantha Fernando
- Jeff Clune
In Electrical and Electronic Engineering
- Sebastian Risi
- Andrea Soltoggio
- Kenneth O. Stanley
- Chrisantha Fernando
- P. Husbands
- Eörs Szathmáry
- Harold P. de Vladar
- Jeff Clune
Citations in the corpus
- Born to Learn: the Inspiration, Progress, and Future of Evolved Plastic Artificial Neural Networks (2017, background): “lization, an evolutionary advantage of such a discovery will lead to its full emergence and further optimization of such a property. A rather different approach to accelerate learning was proposed in Fernando et al. (2008); de Vladar and Szathm´ary (2015) and called Evolutionary Neurodynamics. Accor”
- Selectionist and Evolutionary Approaches to Brain Function: A Critical Appraisal (2012, methodology): “Our recently proposed neuronal replicator hypothesis (NRH) states that there are units of evolution in the brain (Fernando et al., 2008, 2010).”
- Neuronal boost to evolutionary dynamics (2015, background): “This has been previously proposed as the neuronal replicator hypothesis [13,28,29,36].”