Capacity of a Simple Intercellular Signal Transduction Channel
暂无分享,去创建一个
[1] Mohsen Sardari,et al. Relaying in diffusion-based molecular communication , 2013, 2013 IEEE International Symposium on Information Theory.
[2] Peter J. Thomas,et al. The Diffusion-Limited Biochemical Signal-Relay Channel , 2003, NIPS.
[3] Toby Berger,et al. Rate distortion theory : a mathematical basis for data compression , 1971 .
[4] Haim H. Permuter,et al. Capacity and Zero-Error Capacity of the Chemical Channel with Feedback , 2007, 2007 IEEE International Symposium on Information Theory.
[5] K. Kullander,et al. Mechanisms and functions of eph and ephrin signalling , 2002, Nature Reviews Molecular Cell Biology.
[6] Pravin Varaiya,et al. Capacity, mutual information, and coding for finite-state Markov channels , 1996, IEEE Trans. Inf. Theory.
[7] Pablo A Iglesias,et al. Navigating through models of chemotaxis. , 2008, Current opinion in cell biology.
[8] D. Gillespie. Exact Stochastic Simulation of Coupled Chemical Reactions , 1977 .
[9] Bard Ermentrout,et al. Stochastic representations of ion channel kinetics and exact stochastic simulation of neuronal dynamics , 2014, Journal of Computational Neuroscience.
[10] Wouter-Jan Rappel,et al. Quantifying noise levels of intercellular signals. , 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.
[11] W. Rappel,et al. External and internal constraints on eukaryotic chemotaxis , 2010, Proceedings of the National Academy of Sciences.
[12] Michael R. Frey. Information capacity of the Poisson channel , 1991, IEEE Trans. Inf. Theory.
[13] R. Davies,et al. Bacterial-induced release of inflammatory mediators by bronchial epithelial cells. , 1996, The European respiratory journal.
[14] Ian F. Akyildiz,et al. Molecular communication options for long range nanonetworks , 2009, Comput. Networks.
[15] T. Yanagida,et al. Single-Molecule Analysis of Chemotactic Signaling in Dictyostelium Cells , 2001, Science.
[16] R. Gallager. Information Theory and Reliable Communication , 1968 .
[17] Andrew W. Eckford,et al. Tabletop Molecular Communication: Text Messages through Chemical Signals , 2013, PloS one.
[18] K. Yau,et al. Phototransduction mechanism in retinal rods and cones. The Friedenwald Lecture. , 1994, Investigative ophthalmology & visual science.
[19] P. Waage,et al. Ueber die chemische Affinität. § 1. Einleitung , 1879 .
[20] Moritz Helias,et al. Nonequilibrium dynamics of stochastic point processes with refractoriness. , 2010, Physical review. E, Statistical, nonlinear, and soft matter physics.
[21] Brendan J. Frey,et al. Factor graphs and the sum-product algorithm , 2001, IEEE Trans. Inf. Theory.
[22] Toby Berger,et al. Characterizing optimum (input, output) processes for finite-state channels with feedback , 2003, IEEE International Symposium on Information Theory, 2003. Proceedings..
[23] Stefan Mihalas,et al. Ca2+/calmodulin-dependent protein kinase II (CaMKII) is activated by calmodulin with two bound calciums , 2006, Proceedings of the National Academy of Sciences.
[24] Wouter-Jan Rappel,et al. Quantifying Information Transmission in Eukaryotic Gradient Sensing and Chemotactic Response , 2011, Journal of statistical physics.
[25] Geoffrey J. Goodhill,et al. A Theoretical Model of Axon Guidance by the Robo Code , 2003, Neural Computation.
[26] Melanie Hartmann. Spikes Exploring The Neural Code Computational Neuroscience , 2016 .
[27] Christopher Rose,et al. Wireless signaling with identical quanta , 2012, 2012 IEEE Wireless Communications and Networking Conference (WCNC).
[28] Rajesh Sundaresan,et al. Capacity of queues via point-process channels , 2006, IEEE Transactions on Information Theory.
[29] Nancy R Gough,et al. Focus Issue: Signaling Across Membranes , 2005, Science's STKE.
[30] T. Hunter,et al. Protein-tyrosine kinases. , 1985, Annual review of biochemistry.
[31] Mohsen Sardari,et al. Capacity of discrete molecular diffusion channels , 2011, 2011 IEEE International Symposium on Information Theory Proceedings.
[32] M. Ueda,et al. Stochastic signal processing and transduction in chemotactic response of eukaryotic cells. , 2007, Biophysical journal.
[33] Haim H. Permuter,et al. Capacity of the Trapdoor Channel With Feedback , 2006, IEEE Transactions on Information Theory.
[34] G D Lewen,et al. Reproducibility and Variability in Neural Spike Trains , 1997, Science.
[35] P. Devreotes,et al. A chemoattractant receptor controls development in Dictyostelium discoideum. , 1988, Science.
[36] D. Blackwell,et al. Proof of Shannon's Transmission Theorem for Finite-State Indecomposable Channels , 1958 .
[37] R. Kessin. Dictyostelium: Evolution, Cell Biology, and the Development of Multicellularity , 2001 .
[38] Todd P. Coleman,et al. Estimating the directed information to infer causal relationships in ensemble neural spike train recordings , 2010, Journal of Computational Neuroscience.
[39] Desmond J. Higham,et al. Modeling and Simulating Chemical Reactions , 2008, SIAM Rev..
[40] Andrew W. Eckford,et al. Nanoscale Communication with Brownian Motion , 2007, 2007 41st Annual Conference on Information Sciences and Systems.
[41] I. Nemenman,et al. Information Transduction Capacity of Noisy Biochemical Signaling Networks , 2011, Science.
[42] T. Sejnowski,et al. Calmodulin Activation by Calcium Transients in the Postsynaptic Density of Dendritic Spines , 2008, PloS one.
[43] P. Devreotes,et al. Moving in the right direction: how eukaryotic cells migrate along chemical gradients. , 2011, Seminars in cell & developmental biology.
[44] Hui Li,et al. Capacity of the Memoryless Additive Inverse Gaussian Noise Channel , 2014, IEEE Journal on Selected Areas in Communications.
[45] Tatsuya Suda,et al. Molecular communication through gap junction channels: System design, experiments and modeling , 2007, 2007 2nd Bio-Inspired Models of Network, Information and Computing Systems.
[46] Özgür B. Akan,et al. An information theoretical approach for molecular communication , 2007, 2007 2nd Bio-Inspired Models of Network, Information and Computing Systems.
[47] Israel Bar-David,et al. Capacity and coding for the Gilbert-Elliot channels , 1989, IEEE Trans. Inf. Theory.
[48] F. Attneave. Some informational aspects of visual perception. , 1954, Psychological review.
[49] Toby Berger,et al. The capacity of finite-State Markov Channels With feedback , 2005, IEEE Transactions on Information Theory.
[50] Haim H. Permuter,et al. Capacity of a POST Channel With and Without Feedback , 2014, IEEE Trans. Inf. Theory.
[51] Mark H. A. Davis,et al. Capacity and cutoff rate for Poisson-type channels , 1980, IEEE Trans. Inf. Theory.
[52] Todd P. Coleman,et al. Directed Information Graphs , 2012, IEEE Transactions on Information Theory.
[53] J. Massey. CAUSALITY, FEEDBACK AND DIRECTED INFORMATION , 1990 .
[54] Gerhard Kramer. Capacity results for the discrete memoryless network , 2003, IEEE Trans. Inf. Theory.
[55] Wouter-Jan Rappel,et al. Establishing direction during chemotaxis in eukaryotic cells. , 2002, Biophysical journal.
[56] H. B. Barlow,et al. Possible Principles Underlying the Transformations of Sensory Messages , 2012 .
[57] Robert G. Endres,et al. Noise characteristics of the Escherichia coli rotary motor , 2011, BMC Systems Biology.
[58] David F. Anderson,et al. Continuous Time Markov Chain Models for Chemical Reaction Networks , 2011 .
[59] Peter J Thomas,et al. Measuring Edge Importance: A Quantitative Analysis of the Stochastic Shielding Approximation for Random Processes on Graphs , 2013, Journal of mathematical neuroscience.
[60] R. Cheong,et al. How Information Theory Handles Cell Signaling and Uncertainty , 2012, Science.
[61] J. Adler,et al. Protein methylation in behavioural control mechanisms and in signal transduction , 1979, Nature.
[62] I. Nemenman,et al. Cellular noise and information transmission. , 2014, Current opinion in biotechnology.
[63] W. Fontana,et al. Small Numbers of Big Molecules , 2002, Science.
[64] Peter N. Devreotes,et al. G protein-linked signaling pathways control the developmental program of dictyostelium , 1994, Neuron.
[65] Peter J Thomas. Every Bit Counts , 2011, Science.
[66] Mohsen Sardari,et al. Capacity of diffusion-based molecular communication with ligand receptors , 2011, 2011 IEEE Information Theory Workshop.
[67] M. Kennedy,et al. Signal-processing machines at the postsynaptic density. , 2000, Science.
[68] Benjamin Lindner,et al. Integrate-and-fire neurons driven by asymmetric dichotomous noise , 2014, Biological Cybernetics.
[69] Haim H. Permuter,et al. Capacity of a POST Channel With and Without Feedback , 2014, IEEE Transactions on Information Theory.
[70] Toby Berger,et al. Capacity and zero-error capacity of Ising channels , 1990, IEEE Trans. Inf. Theory.
[71] Haim H. Permuter,et al. To Feed or Not to Feedback , 2014, IEEE Transactions on Information Theory.
[72] Robert B. Ash,et al. Information Theory , 2020, The SAGE International Encyclopedia of Mass Media and Society.
[73] Y. Kabanov. The Capacity of a Channel of the Poisson Type , 1978 .
[74] Massimiliano Pierobon,et al. A physical end-to-end model for molecular communication in nanonetworks , 2010, IEEE Journal on Selected Areas in Communications.
[75] Aaron D. Wyner,et al. Capacity and error-exponent for the direct detection photon channel-Part II , 1988, IEEE Trans. Inf. Theory.
[76] P. Brémaud. Point Processes and Queues , 1981 .
[77] D. Robbins,et al. The Hedgehog Signal Transduction Network , 2012, Science Signaling.