Dynamic model of information processing and/or self-excitation in thalamo-cortical neuron-like models
| Autor: | M. E. Sokolov, V. G. Yakhno, I. V. Nuidel |
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| Rok vydání: | 2016 |
| Předmět: |
0301 basic medicine
General Computer Science Computer science Sensory system Impulse (physics) Machine learning computer.software_genre law.invention 03 medical and health sciences 0302 clinical medicine law Normal mode Intermittency Electrical and Electronic Engineering Signal processing Quantitative Biology::Neurons and Cognition Artificial neural network business.industry Information processing Electronic Optical and Magnetic Materials 030104 developmental biology Artificial intelligence business Biological system computer 030217 neurology & neurosurgery Coupling coefficient of resonators |
| Zdroj: | Optical Memory and Neural Networks. 25:243-254 |
| ISSN: | 1934-7898 1060-992X |
| DOI: | 10.3103/s1060992x16040093 |
| Popis: | A functional model of signal transformation in neural networks of similar interconnected active elements is developed. The model describes dynamics of processing of sensory signals in thalamo- cortical neural networks. Using the model normal modes of signal processing are obtained (by the example of images). In addition, we reproduced regimes of propagation of areas of an increased impulse activity (analogue of epilepsy). Control of a coupling coefficient between the model's modules reproduces a phenomenon of intermittency in thalamo-cortical oscillatory EEG patterns. |
| Databáze: | OpenAIRE |
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