Neuronal ensemble modelling and analysis with variable order Markov models
Neuronal cells (neurons) mainly transmit signals by action potentials or spikes. Neuronal electrical activity is recorded from experimental animals by microelectrodes placed in specific brain areas. These electrochemical fast phenomena occur as all-or-none events and can be analyzed as boolean seque...
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| author | Antonio Giuliano Zippo |
| author_browse | Antonio Giuliano Zippo |
| author_facet | Antonio Giuliano Zippo |
| author_sort | Antonio Giuliano Zippo |
| collection | Directory of Open Access Books |
| description | Neuronal cells (neurons) mainly transmit signals by action potentials or spikes. Neuronal electrical activity is recorded from experimental animals by microelectrodes placed in specific brain areas. These electrochemical fast phenomena occur as all-or-none events and can be analyzed as boolean sequences. Following this approach, several computational analyses reported most variable neuronal behaviors expressed through a large variety of firing patterns [13]. These patterns have been modeled as symbolic strings with a number of different techniques [23, 55]. The results obtained with these methods come (i) from Ventrobasal Thalamic Nuclei (VB) and Somatosensory Cortex (SSI) in Chronic Pain Animals (CPAs), (ii) from Primary Visual (V1) and (SSI) in rat Cortices and, finally, (iii) from IL human Thalamus Nuclei in patients suffering from states of disordered consciousness like Persistent Vegetative State (PVS) and Minimum Conscious State (MCS). |
| format | Online |
| id | doab-20.500.12854ir-54514 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | Ledizioni |
| publisherStr | Ledizioni |
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| spelling | doab-20.500.12854ir-545142023-12-20T18:40:36Z Neuronal ensemble modelling and analysis with variable order Markov models Antonio Giuliano Zippo QA1-939 Mathematical bic Book Industry Communication::P Mathematics & science Neuronal cells (neurons) mainly transmit signals by action potentials or spikes. Neuronal electrical activity is recorded from experimental animals by microelectrodes placed in specific brain areas. These electrochemical fast phenomena occur as all-or-none events and can be analyzed as boolean sequences. Following this approach, several computational analyses reported most variable neuronal behaviors expressed through a large variety of firing patterns [13]. These patterns have been modeled as symbolic strings with a number of different techniques [23, 55]. The results obtained with these methods come (i) from Ventrobasal Thalamic Nuclei (VB) and Somatosensory Cortex (SSI) in Chronic Pain Animals (CPAs), (ii) from Primary Visual (V1) and (SSI) in rat Cortices and, finally, (iii) from IL human Thalamus Nuclei in patients suffering from states of disordered consciousness like Persistent Vegetative State (PVS) and Minimum Conscious State (MCS). 2021-02-11T20:50:19Z 2021-02-11T20:50:19Z 2013-09-23 17:34:22 2011 book 15531 9788895994574 https://directory.doabooks.org/handle/20.500.12854/54514 eng Mathematical Sciences image/png Attribution-NonCommercial-ShareAlike 4.0 International http://www.ledizioni.it/prodotto/antonio-giuliano-zippo-neuronal-ensemble-modeling-and-analysis-with-variable-order-markov-models/ http://www.ledizioni.it/stag/wp-content/uploads/2014/02/Zippo_9788895994574.pdf Ledizioni cb2a1db5-5754-4ab6-bb64-d635458e30c5 9788895994574 open access |
| spellingShingle | QA1-939 Mathematical bic Book Industry Communication::P Mathematics & science Antonio Giuliano Zippo Neuronal ensemble modelling and analysis with variable order Markov models |
| title | Neuronal ensemble modelling and analysis with variable order Markov models |
| title_full | Neuronal ensemble modelling and analysis with variable order Markov models |
| title_fullStr | Neuronal ensemble modelling and analysis with variable order Markov models |
| title_full_unstemmed | Neuronal ensemble modelling and analysis with variable order Markov models |
| title_short | Neuronal ensemble modelling and analysis with variable order Markov models |
| title_sort | neuronal ensemble modelling and analysis with variable order markov models |
| topic | QA1-939 Mathematical bic Book Industry Communication::P Mathematics & science |
| topic_facet | QA1-939 Mathematical bic Book Industry Communication::P Mathematics & science |
| url | 15531 |
| work_keys_str_mv | AT antoniogiulianozippo neuronalensemblemodellingandanalysiswithvariableordermarkovmodels |