Simulations of Learning, Memory, and Forgetting Processes with Model of CA1 Region of the Hippocampus
The aim of this paper is to present a computational model of the CA1 region of the hippocampus, whose properties include (a) attenuation of receptors for external stimuli, (b) delay and decay of postsynaptic potentials, (c) modification of internal weights due to propagation of postsynaptic potentia...
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| Format: | Article |
| Language: | English |
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Wiley
2018-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2018/1297150 |
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| _version_ | 1832562837383282688 |
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| author | Dariusz Świetlik |
| author_facet | Dariusz Świetlik |
| author_sort | Dariusz Świetlik |
| collection | DOAJ |
| description | The aim of this paper is to present a computational model of the CA1 region of the hippocampus, whose properties include (a) attenuation of receptors for external stimuli, (b) delay and decay of postsynaptic potentials, (c) modification of internal weights due to propagation of postsynaptic potentials through the dendrite, and (d) modification of weights for the analog memory of each input due to a pattern of long-term synaptic potentiation (LTP) with regard to its decay. The computer simulations showed that CA1 model performs efficient LTP induction and high rate of sub-millisecond coincidence detection. We also discuss a possibility of hardware implementation of pyramidal cells of CA1 region of the hippocampus. |
| format | Article |
| id | doaj-art-b96b076216a6486aa4078fe4c589237a |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-b96b076216a6486aa4078fe4c589237a2025-02-03T01:21:42ZengWileyComplexity1076-27871099-05262018-01-01201810.1155/2018/12971501297150Simulations of Learning, Memory, and Forgetting Processes with Model of CA1 Region of the HippocampusDariusz Świetlik0Intrafaculty College of Medical Informatics and Biostatistics, Medical University of Gdańsk, 1 Debinki St., 80-211 Gdańsk, PolandThe aim of this paper is to present a computational model of the CA1 region of the hippocampus, whose properties include (a) attenuation of receptors for external stimuli, (b) delay and decay of postsynaptic potentials, (c) modification of internal weights due to propagation of postsynaptic potentials through the dendrite, and (d) modification of weights for the analog memory of each input due to a pattern of long-term synaptic potentiation (LTP) with regard to its decay. The computer simulations showed that CA1 model performs efficient LTP induction and high rate of sub-millisecond coincidence detection. We also discuss a possibility of hardware implementation of pyramidal cells of CA1 region of the hippocampus.http://dx.doi.org/10.1155/2018/1297150 |
| spellingShingle | Dariusz Świetlik Simulations of Learning, Memory, and Forgetting Processes with Model of CA1 Region of the Hippocampus Complexity |
| title | Simulations of Learning, Memory, and Forgetting Processes with Model of CA1 Region of the Hippocampus |
| title_full | Simulations of Learning, Memory, and Forgetting Processes with Model of CA1 Region of the Hippocampus |
| title_fullStr | Simulations of Learning, Memory, and Forgetting Processes with Model of CA1 Region of the Hippocampus |
| title_full_unstemmed | Simulations of Learning, Memory, and Forgetting Processes with Model of CA1 Region of the Hippocampus |
| title_short | Simulations of Learning, Memory, and Forgetting Processes with Model of CA1 Region of the Hippocampus |
| title_sort | simulations of learning memory and forgetting processes with model of ca1 region of the hippocampus |
| url | http://dx.doi.org/10.1155/2018/1297150 |
| work_keys_str_mv | AT dariuszswietlik simulationsoflearningmemoryandforgettingprocesseswithmodelofca1regionofthehippocampus |