Citations for KInNeSS : a modular framework for computational neuroscience (Versace et al. 2008)

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Versace M, Ames H, Léveillé J, Fortenberry B, Gorchetchnikov A (2008) KInNeSS: a modular framework for computational neuroscience. Neuroinformatics 6:291-309 [PubMed]

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References and models that cite this paper

Abarbanel HD, Huerta R, Rabinovich MI (2002) Dynamical model of long-term synaptic plasticity. Proc Natl Acad Sci U S A 99:10132-7 [Journal] [PubMed]
Abbott LF, Varela JA, Sen K, Nelson SB (1997) Synaptic depression and cortical gain control. Science 275:220-4 [PubMed]
Berzhanskaya J, Gorchetchnikov A, Schiff SJ (2007) Switching between gamma and theta: dynamic network control using subthreshold electric fields Neurocomputing 70:10-12
Bi G, Poo M (2001) Synaptic modification by correlated activity: Hebb's postulate revisited. Annu Rev Neurosci 24:139-66 [Journal] [PubMed]
Bower JM, Beeman D (1998) The Book Of Genesis: Exploring Realistic Neural Models With The General Neural Simulation System
Bray T, Paoli J, Sperberg-mcqueen CM, Maler E, Yergeau F (2006) Extensible Markup Language (XML) 1.0 (Fourth Edition http:--www.w3.org-TR-2006-REC-xml-20060816-flsecorigin-goals
Cannon RC, Gewaltig MO, Gleeson P, Bhalla US, Cornelis H, Hines ML, Howell FW, Muller E, Stiles JR, Wils S, De Schutter E (2007) Interoperability of neuroscience modeling software: current status and future directions. Neuroinformatics 5:127-38 [Journal] [PubMed]
Cannon RC, Hasselmo ME, Koene RA (2003) From biophysics to behavior: Catacomb2 and the design of biologically-plausible models for spatial navigation. Neuroinformatics 1:3-42 [Journal] [PubMed]
   Biologically-plausible models for spatial navigation (Cannon et al 2003) [Model]
Crook S, Gleeson P, Howell F, Svitak J, Silver RA (2007) MorphML: level 1 of the NeuroML standards for neuronal morphology data and model specification. Neuroinformatics 5:96-104 [PubMed]
Ermentrout GB (2002) Simulating, Analyzing, and Animating Dynamical System: A Guide to XPPAUT for Researchers and Students Society for Industrial and Applied Mathematics (SIAM)
Ermentrout GB, Kopell N (1986) Parabolic bursting in an excitable system coupled with a slow oscillation. Siam J Appl Math 46:233-253
Gewaltig M-O, Diesmann M (2007) NEST (Neural Simulation Tool) Scholarpedia 2:1430
Goddard NH, Hucka M, Howell F, Cornelis H, Shankar K, Beeman D (2001) Towards NeuroML: model description methods for collaborative modelling in neuroscience. Philos Trans R Soc Lond B Biol Sci 356:1209-28 [Journal] [PubMed]
Gorchetchnikov A (2000) An approach to a biologically realistic simulation of natural memory, Master Thesis
Gorchetchnikov A, Grossberg S (2007) Space, time and learning in the hippocampus: how fine spatial and temporal scales are expanded into population codes for behavioral control. Neural Netw 20:182-93 [Journal] [PubMed]
Gorchetchnikov A, Hasselmo ME (2002) A model of hippocampal circuitry mediating goal-driven navigation in a familiar environment Neurocomputing 444-46:424-427
Gorchetchnikov A, Hasselmo ME (2005) A biophysical implementation of a bidirectional graph search algorithm to solve multiple goal navigation tasks. Connection Science 17(1-2):145-166
Gorchetchnikov A, Versace M, Hasselmo ME (2005) A model of STDP based on spatially and temporally local information: derivation and combination with gated decay. Neural Netw 18:458-66 [Journal] [PubMed]
Grossberg S (1980) How does a brain build a cognitive code? Psychol Rev 87:1-51 [PubMed]
Grossberg S, Versace M (2008) Spikes, synchrony, and attentive learning by laminar thalamocortical circuits. Brain Res 1218:278-312 [Journal] [PubMed]
Hammarlund P, Ekeberg O (1998) Large neural network simulations on multiple hardware platforms. J Comput Neurosci 5:443-59 [PubMed]
Hasselmo ME (1995) Neuromodulation and cortical function: modeling the physiological basis of behavior. Behav Brain Res 67:1-27 [PubMed]
Hines M (1989) A program for simulation of nerve equations with branching geometries. Int J Biomed Comput 24:55-68 [PubMed]
Hines M (1993) NEURON--a program for simulation of nerve equations. Neural Systems: Analysis And Modeling, Eeckman F, ed. pp.127
Hines M, Carnevale NT (1995) Computer modeling methods for neurons The Handbook Of Brain Theory And Neural Networks, Arbib MA, ed. pp.226
Humphrey D (1979) Electrophysiological Techniques
Izhikevich EM (2003) Simple model of spiking neurons. IEEE Trans Neural Netw 14:1569-72 [Journal] [PubMed]
   Artificial neuron model (Izhikevich 2003, 2004, 2007) [Model]
Izhikevich EM (2004) Which model to use for cortical spiking neurons? IEEE Trans Neural Netw 15:1063-70 [Journal] [PubMed]
   Artificial neuron model (Izhikevich 2003, 2004, 2007) [Model]
Kitajima T, Hara K (2000) A generalized Hebbian rule for activity-dependent synaptic modifications. Neural Netw 13:445-54 [PubMed]
Köhn J, Wörgötter F (1998) Employing the zeta-transform to optimize the calculation of the synaptic conductance of NMDA and other synaptic channels in network simulations. Neural Comput 10:1639-51 [PubMed]
Leveille J, Grossberg S, Mingolla E, Versace M (2008) Collinear facilitation and visual grouping in the spiking LAMINART model Vision Science Society Abstract
Levy WB, Steward O (1983) Temporal contiguity requirements for long-term associative potentiation/depression in the hippocampus. Neuroscience 8:791-7 [PubMed]
Maass W, Natschläger T, Markram H (2002) Real-time computing without stable states: a new framework for neural computation based on perturbations. Neural Comput 14:2531-60 [Journal] [PubMed]
Markram H, Lübke J, Frotscher M, Sakmann B (1997) Regulation of synaptic efficacy by coincidence of postsynaptic APs and EPSPs. Science 275:213-5 [PubMed]
Natschlager T, Markram H, Maass W (2003) Computer models and analysis toolsfor neural microcircuits Neuroscience Databases: A Practical Guide, Kotter R, ed. pp.123
Prescott SA, Ratté S, De Koninck Y, Sejnowski TJ (2006) Nonlinear interaction between shunting and adaptation controls a switch between integration and coincidence detection in pyramidal neurons. J Neurosci 26:9084-97 [Journal] [PubMed]
Rall W (1964) Theoretical significance of dendritic trees for neuronal input output relations Neural Theory and Modeling, Reiss RF, ed. pp.73 [Journal]
   Effects of synaptic location and timing on synaptic integration (Rall 1964) [Model]
Rudolph M, Destexhe A (2007) How much can we trust neural simulation strategies Neurocomputing 70:1966-1969
Segev I, Fleshman JW, Burke RE (1998) Compartmental models of complex neurons Methods in Neuronal Modeling, Koch C:Segev I, ed. pp.93
Traub RD, Miles R (1991) Neuronal Networks Of The Hippocampus
Tsodyks MV, Markram H (1997) The neural code between neocortical pyramidal neurons depends on neurotransmitter release probability. Proc Natl Acad Sci U S A 94:719-23 [PubMed]
Zador A, Koch C, Brown TH (1990) Biophysical model of a Hebbian synapse. Proc Natl Acad Sci U S A 87:6718-22 [PubMed]
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