Citation Relationships



Reinagel P, Reid RC (2000) Temporal coding of visual information in the thalamus. J Neurosci 20:5392-400 [PubMed]

References and models cited by this paper

References and models that cite this paper

Amigó JM, Szczepanski J, Wajnryb E, Sanchez-Vives MV (2004) Estimating the entropy rate of spike trains via Lempel-Ziv complexity. Neural Comput 16:717-36 [Journal] [PubMed]

Banerjee A (2006) On the sensitive dependence on initial conditions of the dynamics of networks of spiking neurons. J Comput Neurosci 20:321-48 [Journal] [PubMed]

Barbieri R, Frank LM, Nguyen DP, Quirk MC, Solo V, Wilson MA, Brown EN (2004) Dynamic analyses of information encoding in neural ensembles. Neural Comput 16:277-307 [Journal] [PubMed]

Brette R, Guigon E (2003) Reliability of spike timing is a general property of spiking model neurons. Neural Comput 15:279-308 [Journal] [PubMed]

   Reliability of spike timing is a general property of spiking model neurons (Brette & Guigon 2003) [Model]

Cariani PA (2002) Neural timing nets. Neural Netw 14:737-53

Chacron MJ (2006) Nonlinear information processing in a model sensory system. J Neurophysiol 95:2933-46 [Journal] [PubMed]

Chacron MJ, Lindner B, Longtin A (2007) Threshold fatigue and information transfer. J Comput Neurosci 23:301-11 [Journal] [PubMed]

Deneve S (2008) Bayesian spiking neurons I: inference. Neural Comput 20:91-117 [Journal] [PubMed]

Diwakar S, Medini C, Nair M, Parasuram H, Vijayan A, Nair B (2017) Computational Neuroscience of Timing, Plasticity and Function in Cerebellum Microcircuits (Chapter 12) Computational Neurology and Psychiatry, Springer Series in Bio-/Neuroinformatics, Érdi P:et al, ed. pp.343 [Journal]

   Modeling single neuron LFPs and extracellular potentials with LFPsim (Parasuram et al. 2016) [Model]

Eger M, Eckhorn R (2002) A model-based approach for the analysis of neuronal information transmission in multi-input and -output systems. J Comput Neurosci 12:175-200 [PubMed]

Gilson M, Masquelier T, Hugues E (2011) STDP allows fast rate-modulated coding with Poisson-like spike trains. PLoS Comput Biol 7:e1002231 [Journal] [PubMed]

   STDP allows fast rate-modulated coding with Poisson-like spike trains (Gilson et al. 2011) [Model]

Gutkin B, Ermentrout GB, Rudolph M (2003) Spike generating dynamics and the conditions for spike-time precision in cortical neurons. J Comput Neurosci 15:91-103 [Journal] [PubMed]

Huys QJ, Zemel RS, Natarajan R, Dayan P (2007) Fast population coding. Neural Comput 19:404-41 [Journal] [PubMed]

   Fast population coding (Huys et al. 2007) [Model]

Kennel MB, Shlens J, Abarbanel HD, Chichilnisky EJ (2005) Estimating entropy rates with Bayesian confidence intervals. Neural Comput 17:1531-76 [Journal] [PubMed]

Kosmidis EK, Pakdaman K (2003) An analysis of the reliability phenomenon in the FitzHugh-Nagumo model. J Comput Neurosci 14:5-22 [PubMed]

Lindsay KA, Ogden JM, Rosenberg JR (2002) An investigation into the influence of boundary condition specification in finite difference methods on the behaviour of passive and active neuronal models. Prog Biophys Mol Biol 78:3-43 [PubMed]

Montemurro MA, Panzeri S, Maravall M, Alenda A, Bale MR, Brambilla M, Petersen RS (2007) Role of precise spike timing in coding of dynamic vibrissa stimuli in somatosensory thalamus. J Neurophysiol 98:1871-82 [Journal] [PubMed]

Nowotny T, Rabinovich MI, Huerta R, Abarbanel HD (2003) Decoding temporal information through slow lateral excitation in the olfactory system of insects. J Comput Neurosci 15:271-81 [PubMed]

Reeke GN, Coop AD (2004) Estimating the temporal interval entropy of neuronal discharge. Neural Comput 16:941-70 [Journal] [PubMed]

Rudolph M, Destexhe A (2003) Tuning neocortical pyramidal neurons between integrators and coincidence detectors. J Comput Neurosci 14:239-51 [PubMed]

Sharpee T, Rust NC, Bialek W (2004) Analyzing neural responses to natural signals: maximally informative dimensions. Neural Comput 16:223-50 [Journal] [PubMed]

Shlens J, Kennel MB, Abarbanel HD, Chichilnisky EJ (2007) Estimating information rates with confidence intervals in neural spike trains. Neural Comput 19:1683-719 [Journal] [PubMed]

Tiesinga PH, Fellous JM, José JV, Sejnowski TJ (2002) Information transfer in entrained cortical neurons. Network 13:41-66 [PubMed]

Tiesinga PH, Toups JV (2005) The possible role of spike patterns in cortical information processing. J Comput Neurosci 18:275-86 [Journal] [PubMed]

van Pelt J, van Ooyen A, Uylings HB (2001) The need for integrating neuronal morphology databases and computational environments in exploring neuronal structure and function. Anat Embryol (Berl) 204:255-65 [PubMed]

Veredas FJ, Vico FJ, Alonso JM (2005) Factors determining the precision of the correlated firing generated by a monosynaptic connection in the cat visual pathway. J Physiol 567:1057-78 [Journal] [PubMed]

Wang HP, Spencer D, Fellous JM, Sejnowski TJ (2010) Synchrony of thalamocortical inputs maximizes cortical reliability. Science 328:106-9 [Journal] [PubMed]

Zeldenrust F, Chameau P, Wadman WJ (2018) Spike and burst coding in thalamocortical relay cells. PLoS Comput Biol 14:e1005960 [Journal] [PubMed]

   Thalamocortical Relay cell under current clamp in high-conductance state (Zeldenrust et al 2018) [Model]

Zeldenrust F, Chameau PJ, Wadman WJ (2013) Reliability of spike and burst firing in thalamocortical relay cells. J Comput Neurosci 35:317-34 [Journal] [PubMed]

   Reliability of Morris-Lecar neurons with added T, h, and AHP currents (Zeldenrust et al. 2013) [Model]

(29 refs)