In silico : controlling the late phase of long term facilitation in the aplysia californica - a spatio-temporal stochastic simulation.
Learning and Memory is a complex physiological process. It has therefore taken the work of many researchers to elucidate the molecular mechanism of memory. A few prominent researchers have spent the last decades of their careers, successfully pinpointing, with broad-like brushes, the mechanism towar...
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| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
2011
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| Online Access: | http://hdl.handle.net/10356/45748 |
| _version_ | 1811690782196760576 |
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| author | Cheng, Anthony Youzhi. |
| author2 | School of Chemical and Biomedical Engineering |
| author_facet | School of Chemical and Biomedical Engineering Cheng, Anthony Youzhi. |
| author_sort | Cheng, Anthony Youzhi. |
| collection | NTU |
| description | Learning and Memory is a complex physiological process. It has therefore taken the work of many researchers to elucidate the molecular mechanism of memory. A few prominent researchers have spent the last decades of their careers, successfully pinpointing, with broad-like brushes, the mechanism towards acquiring memory. Short–term and long-term memory are a mysterious feature in human psychology. Researchers like Eric R. Kandel, have shown that the facilitation of short term to long term memory requires protein synthesis (or the activation of the transcription and translation mechanism). It is postulated that this conversion to long term memory requires a switch-like mechanism. One such mathematical model that explains how the dynamics of autoregulation is achieved in the interlocked positive and negative feedback loop. Another component is the switch-like mechanism found by modeling a signaling repressor molecule. This paper will present to you how the PKA, Ca2+ and MAPK signaling systems may control the transcription and translational machinery in the postsynaptic neuron. In addition, we simulate the network with a spatio-temporal simulator, Smoldyn, to draw attention to some of the likely parameters that can cause fast transition states. |
| first_indexed | 2024-10-01T06:09:28Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/45748 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T06:09:28Z |
| publishDate | 2011 |
| record_format | dspace |
| spelling | ntu-10356/457482023-03-03T15:37:23Z In silico : controlling the late phase of long term facilitation in the aplysia californica - a spatio-temporal stochastic simulation. Cheng, Anthony Youzhi. School of Chemical and Biomedical Engineering Song Hao DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences DRNTU::Science::Biological sciences::Human anatomy and physiology::Neurobiology Learning and Memory is a complex physiological process. It has therefore taken the work of many researchers to elucidate the molecular mechanism of memory. A few prominent researchers have spent the last decades of their careers, successfully pinpointing, with broad-like brushes, the mechanism towards acquiring memory. Short–term and long-term memory are a mysterious feature in human psychology. Researchers like Eric R. Kandel, have shown that the facilitation of short term to long term memory requires protein synthesis (or the activation of the transcription and translation mechanism). It is postulated that this conversion to long term memory requires a switch-like mechanism. One such mathematical model that explains how the dynamics of autoregulation is achieved in the interlocked positive and negative feedback loop. Another component is the switch-like mechanism found by modeling a signaling repressor molecule. This paper will present to you how the PKA, Ca2+ and MAPK signaling systems may control the transcription and translational machinery in the postsynaptic neuron. In addition, we simulate the network with a spatio-temporal simulator, Smoldyn, to draw attention to some of the likely parameters that can cause fast transition states. Bachelor of Engineering (Chemical and Biomolecular Engineering) 2011-06-16T09:08:06Z 2011-06-16T09:08:06Z 2011 2011 Final Year Project (FYP) http://hdl.handle.net/10356/45748 en Nanyang Technological University 50 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences DRNTU::Science::Biological sciences::Human anatomy and physiology::Neurobiology Cheng, Anthony Youzhi. In silico : controlling the late phase of long term facilitation in the aplysia californica - a spatio-temporal stochastic simulation. |
| title | In silico : controlling the late phase of long term facilitation in the aplysia californica - a spatio-temporal stochastic simulation. |
| title_full | In silico : controlling the late phase of long term facilitation in the aplysia californica - a spatio-temporal stochastic simulation. |
| title_fullStr | In silico : controlling the late phase of long term facilitation in the aplysia californica - a spatio-temporal stochastic simulation. |
| title_full_unstemmed | In silico : controlling the late phase of long term facilitation in the aplysia californica - a spatio-temporal stochastic simulation. |
| title_short | In silico : controlling the late phase of long term facilitation in the aplysia californica - a spatio-temporal stochastic simulation. |
| title_sort | in silico controlling the late phase of long term facilitation in the aplysia californica a spatio temporal stochastic simulation |
| topic | DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences DRNTU::Science::Biological sciences::Human anatomy and physiology::Neurobiology |
| url | http://hdl.handle.net/10356/45748 |
| work_keys_str_mv | AT chenganthonyyouzhi insilicocontrollingthelatephaseoflongtermfacilitationintheaplysiacalifornicaaspatiotemporalstochasticsimulation |