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Computational Neurogenetic Modelling: Methods, Systems, Applications

Published on May 03, 20117067 Views

We would like to notify you that the first ten minutes of the lecture were not recorded due to the technical problems. For additional content please check the presentation under section "See Also".

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Chapter list

Computational Neuro-Genetic Modelling: Methods, Systems, Applications00:00
The Scope of the Contemporary NN Research00:11
The Scope of the Contemporary NN Applications00:26
International neural network society00:39
Main references00:55
Content of the talk01:09
Biological motivations01:25
Rich neurophysiological information about the spiking activities in the brain is already available01:40
Biological neurogenetic processes01:54
Molecular (protein) level of spiking activities02:10
SNN and evolving SNN (eSNN)02:24
Models of Spiking Neurons02:47
Rank Order Population Encoding03:16
Learning in SNN05:24
Spike-Time Dependent Plasticity (STDP)05:40
Thorpe’s Model06:54
eSNN07:43
Probabilistic spiking neuron model, pSNM (Kasabov, Neural Networks, Jan. 2010)09:17
Computational Neurogenetic Models10:40
GRN as a dynamical system12:25
A spike response CNGM of a neuron (integrating gene activation with neuronal spiking activity)13:54
GA optimization of a GRN model15:24
CNG Simulator (Available from KEDRI, www.kedri.info)17:56
qi Evolutionary Algorithms19:48
Quantum inspired optimisation of features and parameters of eSNN22:10
Genes regulate the probability parameters of the probabilistic neuronal models in a Evolving Spiking Neuro-Genetic Reservoir (eSNGR)23:03
Applications of eSNN and CNGM24:40
Applications of eSNN and CNGM for spatio-and spectro-temporal data analysis, modelling and pattern recognition26:00
eSNN for integrated audio-visual information processing27:06
peSNN reservoir for spatio-temporal and spectro-temporal data modelling27:30
Modelling EEG data28:15
eSNN and QiGA for feature selection in ecological modelling (insect establishment prediction)29:25
CNGM for modelling and understanding brain diseases30:21
CNGM for modelling epilepsy data31:19
CNGM for Alzheimer’s Disease (AD)32:01
CNGM for Modelling and Creation of Cognitive, Emotional Systems32:21
Integrated CNGM and brain-gene ontology systems. The KEDRI BGO33:26
Future developments33:37
KEDRI35:25