Literature DB >> 29802713

A computational simulation of long-term synaptic potentiation inducing protocol processes with model of CA3 hippocampal microcircuit.

D Świetlik1, J Białowąs, A Kusiak, D Cichońska.   

Abstract

An experimental study of computational model of the CA3 region presents cog-nitive and behavioural functions the hippocampus. The main property of the CA3 region is plastic recurrent connectivity, where the connections allow it to behave as an auto-associative memory. The computer simulations showed that CA3 model performs efficient long-term synaptic potentiation (LTP) induction and high rate of sub-millisecond coincidence detection. Average frequency of the CA3 pyramidal cells model was substantially higher in simulations with LTP induction protocol than without the LTP. The entropy of pyramidal cells with LTP seemed to be significantly higher than without LTP induction protocol (p = 0.0001). There was depression of entropy, which was caused by an increase of forgetting coefficient in pyramidal cells simulations without LTP (R = -0.88, p = 0.0008), whereas such correlation did not appear in LTP simulation (p = 0.4458). Our model of CA3 hippocampal formation microcircuit biologically inspired lets you understand neurophysiologic data. (Folia Morphol 2018; 77, 2: 210-220).

Entities:  

Keywords:  computer simulation; forgetting; hippocampus; learning and memory; long-term synaptic potentiation; theta rhythm

Mesh:

Year:  2018        PMID: 29802713     DOI: 10.5603/FM.a2018.0042

Source DB:  PubMed          Journal:  Folia Morphol (Warsz)        ISSN: 0015-5659            Impact factor:   1.183


  8 in total

1.  Computational Modeling of Therapy with the NMDA Antagonist in Neurodegenerative Disease: Information Theory in the Mechanism of Action of Memantine.

Authors:  Dariusz Świetlik; Aida Kusiak; Agata Ossowska
Journal:  Int J Environ Res Public Health       Date:  2022-04-14       Impact factor: 4.614

2.  Virtual Therapy with the NMDA Antagonist Memantine in Hippocampal Models of Moderate to Severe Alzheimer's Disease, in Silico Trials.

Authors:  Dariusz Świetlik; Jacek Białowąs; Aida Kusiak; Marta Krasny
Journal:  Pharmaceuticals (Basel)       Date:  2022-04-28

3.  Application of Artificial Neural Networks to Identify Alzheimer's Disease Using Cerebral Perfusion SPECT Data.

Authors:  Dariusz Świetlik; Jacek Białowąs
Journal:  Int J Environ Res Public Health       Date:  2019-04-11       Impact factor: 3.390

4.  Effects of Inducing Gamma Oscillations in Hippocampal Subregions DG, CA3, and CA1 on the Potential Alleviation of Alzheimer's Disease-Related Pathology: Computer Modeling and Simulations.

Authors:  Dariusz Świetlik; Jacek Białowąs; Janusz Moryś; Ilona Klejbor; Aida Kusiak
Journal:  Entropy (Basel)       Date:  2019-06-13       Impact factor: 2.524

5.  Computer Model of Synapse Loss During an Alzheimer's Disease-Like Pathology in Hippocampal Subregions DG, CA3 and CA1-The Way to Chaos and Information Transfer.

Authors:  Dariusz Świetlik; Jacek Białowąs; Janusz Moryś; Aida Kusiak
Journal:  Entropy (Basel)       Date:  2019-04-17       Impact factor: 2.524

6.  The Computer Simulation of Therapy with the NMDA Antagonist in Excitotoxic Neurodegeneration in an Alzheimer's Disease-like Pathology.

Authors:  Dariusz Świetlik; Aida Kusiak; Marta Krasny; Jacek Białowąs
Journal:  J Clin Med       Date:  2022-03-27       Impact factor: 4.241

7.  Evaluation of the Progression of Periodontitis with the Use of Neural Networks.

Authors:  Agata Ossowska; Aida Kusiak; Dariusz Świetlik
Journal:  J Clin Med       Date:  2022-08-10       Impact factor: 4.964

Review 8.  Artificial Intelligence in Dentistry-Narrative Review.

Authors:  Agata Ossowska; Aida Kusiak; Dariusz Świetlik
Journal:  Int J Environ Res Public Health       Date:  2022-03-15       Impact factor: 3.390

  8 in total

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