Synapses as stochastic concurrent systems
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Andrea Bracciali | Pierpaolo Degano | Enrico Cataldo | Marcello Brunelli | A. Bracciali | P. Degano | E. Cataldo | M. Brunelli | Andrea Bracciali | Marcello Brunelli
[1] E. Shapiro,et al. Cellular abstractions: Cells as computation , 2002, Nature.
[2] Andrzej M. Kierzek,et al. STOCKS: STOChastic Kinetic Simulations of biochemical systems with Gillespie algorithm , 2002, Bioinform..
[3] Corrado Priami,et al. Stochastic pi-Calculus , 1995, Comput. J..
[4] H. Kitano. Systems Biology: A Brief Overview , 2002, Science.
[5] Takeshi Sakaba,et al. Distinct Kinetic Changes in Neurotransmitter Release After SNARE Protein Cleavage , 2005, Science.
[6] Terrence J. Sejnowski,et al. Synthesis of models for excitable membranes, synaptic transmission and neuromodulation using a common kinetic formalism , 1994, Journal of Computational Neuroscience.
[7] W. Regehr,et al. Short-term synaptic plasticity. , 2002, Annual review of physiology.
[8] J. Tyson,et al. Computational Cell Biology , 2010 .
[9] Peter Dayan,et al. Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems , 2001 .
[10] Luca Cardelli,et al. Brane Calculi , 2004, CMSB.
[11] Pierpaolo Degano,et al. VICE: A VIrtual CEll , 2004, CMSB.
[12] Felix Felmy,et al. Probing the Intracellular Calcium Sensitivity of Transmitter Release during Synaptic Facilitation , 2003, Neuron.
[13] Bruce P. Graham,et al. A computational model of synaptic transmission at the calyx of Held , 2001, Neurocomputing.
[14] Michael Frotscher,et al. The most important recent advances in synapse research from my point of view - and what remains to be done , 2006, Cell and Tissue Research.
[15] Adrian Y. C. Wong,et al. Distinguishing between Presynaptic and Postsynaptic Mechanisms of Short-Term Depression during Action Potential Trains , 2003, The Journal of Neuroscience.
[16] E. Neher,et al. Vesicle pools and short-term synaptic depression: lessons from a large synapse , 2002, Trends in Neurosciences.
[17] Corrado Priami,et al. Application of a stochastic name-passing calculus to representation and simulation of molecular processes , 2001, Inf. Process. Lett..
[18] T. Südhof. The synaptic vesicle cycle , 2004 .
[19] Christoph J. Meinrenken,et al. The Hodgkin–Huxley–Katz Prize Lecture , 2003 .
[20] Paola Lecca,et al. A Stochastic Process Algebra Approach to Simulation of Autoreactive Lymphocyte Recruitment , 2004, Simul..
[21] Partha P. Mitra,et al. Observed Brain Dynamics , 2007 .
[22] U. Becherer,et al. Vesicle pools, docking, priming, and release , 2006, Cell and Tissue Research.
[23] Gregory D. Smith. Modeling the Stochastic Gating of Ion Channels , 2002 .
[24] R. Schneggenburger,et al. A Mechanism Intrinsic to the Vesicle Fusion Machinery Determines Fast and Slow Transmitter Release at a Large CNS Synapse , 2007, The Journal of Neuroscience.
[25] Luca Cardelli,et al. Efficient, Correct Simulation of Biological Processes in the Stochastic Pi-calculus , 2007, CMSB.
[26] Andrea Bracciali,et al. Stochastic models for the in silico simulation of synaptic processes , 2008, BMC Bioinformatics.
[27] J. Borst,et al. Two Modes of Vesicle Recycling in the Rat Calyx of Held , 2003, The Journal of Neuroscience.
[28] I. Forsythe,et al. The calyx of Held , 2006, Cell and Tissue Research.
[29] J. Borst,et al. Dynamics of the readily releasable pool during post‐tetanic potentiation in the rat calyx of Held synapse , 2007, The Journal of physiology.
[30] R. Schneggenburger,et al. Allosteric modulation of the presynaptic Ca2+ sensor for vesicle fusion , 2005, Nature.
[31] Bert Sakmann,et al. Control of synaptic strength and timing by the release-site Ca2+ signal , 2005, Nature Neuroscience.
[32] Short-term plasticity turns plastic , 2007 .
[33] Hamid Bolouri,et al. Dizzy: Stochastic Simulation of Large-scale Genetic Regulatory Networks , 2005, J. Bioinform. Comput. Biol..
[34] Luca Cardelli,et al. Brane Calculi Interactions of Biological Membranes , 2004 .
[35] Stephen Gilmore,et al. Modelling the Influence of RKIP on the ERK Signalling Pathway Using the Stochastic Process Algebra PEPA , 2006, Trans. Comp. Sys. Biology.
[36] Onami,et al. Bio-calculus: Its Concept and Molecular Interaction. , 1999, Genome informatics. Workshop on Genome Informatics.
[37] Takeshi Sakaba,et al. Roles of the Fast-Releasing and the Slowly Releasing Vesicles in Synaptic Transmission at the Calyx of Held , 2006, The Journal of Neuroscience.
[38] B. Sakmann,et al. Local routes revisited: the space and time dependence of the Ca2+ signal for phasic transmitter release at the rat calyx of Held. , 2003, The Journal of physiology.
[39] J. B. Sørensen. Formation, stabilisation and fusion of the readily releasable pool of secretory vesicles , 2004, Pflügers Archiv.
[40] D. A. Baxter,et al. CHAPTER 14 – Mathematical Modeling and Analysis of Intracellular Signaling Pathways , 2004 .
[41] O Wolkenhauer,et al. Family tree of Markov models in systems biology. , 2006, IET systems biology.
[42] Bruce P. Graham,et al. A multi-component model of depression at the calyx of Held , 2004, Neurocomputing.
[43] R. Zucker,et al. Release of Neurotransmitters , 2004 .
[44] E. Neher,et al. Presynaptic calcium and control of vesicle fusion , 2005, Current Opinion in Neurobiology.
[45] Erwin Neher. Short-term plasticity turns plastic. Focus on "synaptic transmission at the calyx of Held under in vivo-like activity levels". , 2007, Journal of neurophysiology.
[46] E Neher,et al. Properties of a model of Ca++-dependent vesicle pool dynamics and short term synaptic depression. , 1999, Biophysical journal.
[47] Giorgio Bacci,et al. Modal Logics for Brane Calculus , 2006, CMSB.
[48] Darren J. Wilkinson. Stochastic Modelling for Systems Biology , 2006 .
[49] Douglas A. Lauffenburger,et al. Systems Biology: International Research and Development , 2007 .
[50] Adam Duguid,et al. Stronger Computational Modelling of Signalling Pathways Using Both Continuous and Discrete-State Methods , 2006, CMSB.
[51] Jane Hillston,et al. A compositional approach to performance modelling , 1996 .
[52] E. Neher,et al. Quantitative Analysis of Calcium-Dependent Vesicle Recruitment and Its Functional Role at the Calyx of Held Synapse , 2007, The Journal of Neuroscience.
[53] John B. Shoven,et al. I , Edinburgh Medical and Surgical Journal.
[54] E. Neher,et al. Estimation of quantal parameters at the calyx of Held synapse , 2002, Neuroscience Research.
[55] Nathan Intrator,et al. Theory of Cortical Plasticity , 2004 .
[56] Idan Segev,et al. Methods in neuronal modeling: From synapses to networks , 1989 .
[57] Robin Milner,et al. Communicating and mobile systems - the Pi-calculus , 1999 .
[58] Luca Cardelli,et al. On process rate semantics , 2008, Theor. Comput. Sci..
[59] E. Neher,et al. A comparison between exocytic control mechanisms in adrenal chromaffin cells and a glutamatergic synapse , 2006, Pflügers Archiv.
[60] Davide Sangiorgi,et al. Communicating and Mobile Systems: the π-calculus, , 2000 .
[61] Daniel T. Gillespie,et al. Numerical Simulation for Biochemical Kinetics , 2008 .
[62] Idan Segev,et al. Methods in Neuronal Modeling , 1988 .
[63] D. Gillespie. Exact Stochastic Simulation of Coupled Chemical Reactions , 1977 .
[64] Ralf Schneggenburger,et al. Intracellular calcium dependence of transmitter release rates at a fast central synapse , 2000, Nature.
[65] D. Sherrington. Stochastic Processes in Physics and Chemistry , 1983 .
[66] Andrea Bracciali,et al. Expressive Models for Synaptic Plasticity , 2007, CMSB.
[67] S. Swain. Handbook of Stochastic Methods for Physics, Chemistry and the Natural Sciences , 1984 .
[68] C. W. Gardiner,et al. Handbook of stochastic methods - for physics, chemistry and the natural sciences, Second Edition , 1986, Springer series in synergetics.
[69] Luca Cardelli,et al. BioAmbients: an abstraction for biological compartments , 2004, Theor. Comput. Sci..
[70] D. Bidwell,et al. Formation , 2006, Revue Francophone d'Orthoptie.