02677nam 2200505 450 99621438950331620230621141036.0(CKB)2670000000497801(SSID)ssj0001326146(PQKBManifestationID)12495063(PQKBTitleCode)TC0001326146(PQKBWorkID)11535940(PQKB)11074369(oapen)https://directory.doabooks.org/handle/20.500.12854/54514(EXLCZ)99267000000049780120160829h20112011 fy 0engur||#---|||||txtrdacontentcrdamediacrrdacarrierNeuronal ensemble modeling and analysis with variable order Markov Models /Antonio Giuliano ZippoLedizioni2011Milan, Italy :Ledizioni LediPublishing,2011.©20111 online resource (154 pages) illustrations; digital file(s)Mathematical SciencesBibliographic Level Mode of Issuance: Monograph88-95994-57-4 Includes bibliographical references.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 Somato sensory 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).Computational neuroscienceNeurosciencesMathematicsNeurosciencesMathematical modelsMathematicalComputational neuroscience.NeurosciencesMathematics.NeurosciencesMathematical models.Zippo Antonio Giuliano802139PQKBUkMaJRUBOOK996214389503316Neuronal ensemble modeling and analysis with variable order Markov Models2248620UNISA