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Rudolph M, Pelletier JG, Paré D, Destexhe A (2005) Characterization of synaptic conductances and integrative properties during electrically induced EEG-activated states in neocortical neurons in vivo. J Neurophysiol 94:2805-21 [PubMed]

References and models cited by this paper

References and models that cite this paper

Bédard C, Destexhe A (2008) A modified cable formalism for modeling neuronal membranes at high frequencies. Biophys J 94:1133-43 [Journal] [PubMed]
Camuñas-Mesa LA, Quiroga RQ (2013) A detailed and fast model of extracellular recordings. Neural Comput 25:1191-212 [Journal] [PubMed]
  • A detailed and fast model of extracellular recordings (Camunas-Mesa & Qurioga 2013) [Model]
Destexhe A (2009) Self-sustained asynchronous irregular states and Up-Down states in thalamic, cortical and thalamocortical networks of nonlinear integrate-and-fire neurons. J Comput Neurosci 27:493-506 [Journal] [PubMed]
  • Asynchronous irregular and up/down states in excitatory and inhibitory NNs (Destexhe 2009) [Model]
Mondragón-González SL, Burguière E (2017) Bio-inspired benchmark generator for extracellular multi-unit recordings. Sci Rep 7:43253 [Journal] [PubMed]
Pospischil M, Piwkowska Z, Rudolph M, Bal T, Destexhe A (2007) Calculating event-triggered average synaptic conductances from the membrane potential. J Neurophysiol 97:2544-52 [Journal] [PubMed]
  • Code to calc. spike-trig. ave (STA) conduct. from Vm (Pospischil et al. 2007, Rudolph et al. 2007) [Model]
Rudolph M, Destexhe A (2006) On the use of analytical expressions for the voltage distribution to analyze intracellular recordings. Neural Comput 18:2917-22 [Journal] [PubMed]
Rudolph M, Pospischil M, Timofeev I, Destexhe A (2007) Inhibition determines membrane potential dynamics and controls action potential generation in awake and sleeping cat cortex. J Neurosci 27:5280-90 [Journal] [PubMed]
  • Code to calc. spike-trig. ave (STA) conduct. from Vm (Pospischil et al. 2007, Rudolph et al. 2007) [Model]
Yu Y, Shu Y, McCormick DA (2008) Cortical action potential backpropagation explains spike threshold variability and rapid-onset kinetics. J Neurosci 28:7260-72 [Journal] [PubMed]
  • AP back-prop. explains threshold variability and rapid rise (McCormick et al. 2007, Yu et al. 2008) [Model]
(9 refs)