000183392 001__ 183392
000183392 005__ 20181203022936.0
000183392 022__ $$a1432-0770
000183392 02470 $$2PMID$$a19011929
000183392 02470 $$a000260938100016$$2ISI
000183392 0247_ $$2doi$$a10.1007/s00422-008-0263-8
000183392 037__ $$aARTICLE
000183392 245__ $$aMinimal Hodgkin-Huxley type models for different classes of cortical and thalamic neurons
000183392 269__ $$a2008
000183392 260__ $$c2008
000183392 336__ $$aJournal Articles
000183392 520__ $$aWe review here the development of Hodgkin-Huxley (HH) type models of cerebral cortex and thalamic neurons for network simulations. The intrinsic electrophysiological properties of cortical neurons were analyzed from several preparations, and we selected the four most prominent electrophysiological classes of neurons. These four classes are "fast spiking", "regular spiking", "intrinsically bursting" and "low-threshold spike" cells. For each class, we fit "minimal" HH type models to experimental data. The models contain the minimal set of voltage-dependent currents to account for the data. To obtain models as generic as possible, we used data from different preparations in vivo and in vitro, such as rat somatosensory cortex and thalamus, guinea-pig visual and frontal cortex, ferret visual cortex, cat visual cortex and cat association cortex. For two cell classes, we used automatic fitting procedures applied to several cells, which revealed substantial cell-to-cell variability within each class. The selection of such cellular models constitutes a necessary step towards building network simulations of the thalamocortical system with realistic cellular dynamical properties.
000183392 6531_ $$aModels, Neurological
000183392 6531_ $$aNeurons
000183392 700__ $$aPospischil, Martin
000183392 700__ $$aToledo-Rodriguez, Maria
000183392 700__ $$aMonier, Cyril
000183392 700__ $$aPiwkowska, Zuzanna
000183392 700__ $$aBal, Thierry
000183392 700__ $$aFrégnac, Yves
000183392 700__ $$0240392$$g150822$$aMarkram, Henry
000183392 700__ $$aDestexhe, Alain
000183392 773__ $$j99$$tBiological cybernetics$$k4-5$$q427-41
000183392 909C0 $$xU10458$$0252120$$pLNMC
000183392 909CO $$pSV$$particle$$ooai:infoscience.tind.io:183392
000183392 937__ $$aEPFL-ARTICLE-183392
000183392 973__ $$rREVIEWED$$sPUBLISHED$$aEPFL
000183392 980__ $$aARTICLE