Ju H, Hines ML, Yu Y. (2016). Cable energy function of cortical axons. Scientific reports. 6 [PubMed]

See more from authors: Ju H · Hines ML · Yu Y

References and models cited by this paper

Acebes A, Ferrús A. (2000). Cellular and molecular features of axon collaterals and dendrites. Trends in neurosciences. 23 [PubMed]

Aiello L, Wheeler P. (1995). The expensive-tissue hypothesis: the brain and the digestive system in human and primate evolution Curr Anthropol. 36

Alle H, Roth A, Geiger JR. (2009). Energy-efficient action potentials in hippocampal mossy fibers. Science (New York, N.Y.). 325 [PubMed]

Attwell D, Laughlin SB. (2001). An energy budget for signaling in the grey matter of the brain. Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism. 21 [PubMed]

Balduzzi D, Ortega PA, Besserve M. (2013). Metabolic Cost as an Organizing Principle for Cooperative Learning Advances in Complex Systems. 16

Brown JH, West GB, Gillooly JF, Savage VM, Allen AP. (2004). Toward A Metabolic Theory of Ecology Ecology. 85

Carter BC, Bean BP. (2009). Sodium entry during action potentials of mammalian neurons: incomplete inactivation and reduced metabolic efficiency in fast-spiking neurons. Neuron. 64 [PubMed]

Crotty P, Sangrey T, Levy WB. (2006). Metabolic energy cost of action potential velocity. Journal of neurophysiology. 96 [PubMed]

Debanne D, Campanac E, Bialowas A, Carlier E, Alcaraz G. (2011). Axon physiology. Physiological reviews. 91 [PubMed]

Et AL, Scogland T. (2015). Node variability in large-scale power measurements: perspectives from the Green500, Top500 and EEHPCWG Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (ACM). 74

Faisal AA, White JA, Laughlin SB. (2005). Ion-channel noise places limits on the miniaturization of the brain's wiring. Current biology : CB. 15 [PubMed]

Gabbiani F, Cox SJ. (2010). Mathematics for Neuroscientists.

Gillooly JF, Brown JH, West GB, Savage VM, Charnov EL. (2001). Effects of size and temperature on metabolic rate. Science (New York, N.Y.). 293 [PubMed]

Glazier DS. (2005). Beyond the '3/4-power law': variation in the intra- and interspecific scaling of metabolic rate in animals. Biological reviews of the Cambridge Philosophical Society. 80 [PubMed]

Goldstein SS, Rall W. (1974). Changes of action potential shape and velocity for changing core conductor geometry. Biophysical journal. 14 [PubMed]

Grossman Y, Parnas I, Spira ME. (1979). Differential conduction block in branches of a bifurcating axon. The Journal of physiology. 295 [PubMed]

Grossman Y, Parnas I, Spira ME. (1979). Mechanisms involved in differential conduction of potentials at high frequency in a branching axon. The Journal of physiology. 295 [PubMed]

Hallermann S, de Kock CP, Stuart GJ, Kole MH. (2012). State and location dependence of action potential metabolic cost in cortical pyramidal neurons. Nature neuroscience. 15 [PubMed]

Harris JJ, Attwell D. (2012). The energetics of CNS white matter. The Journal of neuroscience : the official journal of the Society for Neuroscience. 32 [PubMed]

Hasenstaub A, Otte S, Callaway E, Sejnowski TJ. (2010). Metabolic cost as a unifying principle governing neuronal biophysics. Proceedings of the National Academy of Sciences of the United States of America. 107 [PubMed]

Hemmingsen AM. (1950). The relation of standard (basal) energy metabolism to total fresh weight of living organisms Rep. Steno Mem. Hosp. (Copenhagen). 4

Herculano-Houzel S. (2011). Scaling of brain metabolism with a fixed energy budget per neuron: implications for neuronal activity, plasticity and evolution. PloS one. 6 [PubMed]

Hesse J, Schreiber S. (2015). Externalization of neuronal somata as an evolutionary strategy for energy economization. Current biology : CB. 25 [PubMed]

Hodgkin A. (1975). The optimum density of sodium channels in an unmyelinated nerve. Philosophical transactions of the Royal Society of London. Series B, Biological sciences. 270 [PubMed]

Howarth C, Gleeson P, Attwell D. (2012). Updated energy budgets for neural computation in the neocortex and cerebellum. Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism. 32 [PubMed]

Hu H, Jonas P. (2014). A supercritical density of Na(+) channels ensures fast signaling in GABAergic interneuron axons. Nature neuroscience. 17 [PubMed]

Johnston D, Wu SMS. (1995). Foundations of Cellular Neurophysiology with simulations and illustrations by Richard Gray Foundations of Cellular Neurophysiology.

KLEIBER M. (1947). Body size and metabolic rate. Physiological reviews. 27 [PubMed]

Kann O. (2011). The energy demand of fast neuronal network oscillations: insights from brain slice preparations. Frontiers in pharmacology. 2 [PubMed]

Karbowski J. (2009). Thermodynamic constraints on neural dimensions, firing rates, brain temperature and size. Journal of computational neuroscience. 27 [PubMed]

Kety SS. (1957). Metabolism of the Nervous System.

Kole MH et al. (2008). Action potential generation requires a high sodium channel density in the axon initial segment. Nature neuroscience. 11 [PubMed]

Kostal L, Lansky P, McDonnell MD. (2013). Metabolic cost of neuronal information in an empirical stimulus-response model. Biological cybernetics. 107 [PubMed]

Laughlin SB. (2001). Energy as a constraint on the coding and processing of sensory information. Current opinion in neurobiology. 11 [PubMed]

Lennie P. (2003). The cost of cortical computation. Current biology : CB. 13 [PubMed]

Levy WB, Baxter RA. (1996). Energy efficient neural codes. Neural computation. 8 [PubMed]

Lewis JE, Gilmour KM, Moorhead MJ, Perry SF, Markham MR. (2014). Action potential energetics at the organismal level reveal a trade-off in efficiency at high firing rates. The Journal of neuroscience : the official journal of the Society for Neuroscience. 34 [PubMed]

Logothetis NK. (2008). What we can do and what we cannot do with fMRI. Nature. 453 [PubMed]

Magistretti PJ, Allaman I. (2015). A cellular perspective on brain energy metabolism and functional imaging. Neuron. 86 [PubMed]

Maia PD, Kutz JN. (2014). Identifying critical regions for spike propagation in axon segments. Journal of computational neuroscience. 36 [PubMed]

Mangia S et al. (2009). Metabolic and hemodynamic events after changes in neuronal activity: current hypotheses, theoretical predictions and in vivo NMR experimental findings. Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism. 29 [PubMed]

Martin RD. (1981). Relative brain size and basal metabolic rate in terrestrial vertebrates. Nature. 293 [PubMed]

McCormick DA, Shu Y, Yu Y. (2007). Neurophysiology: Hodgkin and Huxley model--still standing? Nature. 445 [PubMed]

Moujahid A, D'Anjou A, Graña M. (2014). Energy demands of diverse spiking cells from the neocortex, hippocampus, and thalamus. Frontiers in computational neuroscience. 8 [PubMed]

Moujahid A, d'Anjou A. (2012). Metabolic efficiency with fast spiking in the squid axon. Frontiers in computational neuroscience. 6 [PubMed]

Moujahid A, d'Anjou A, Torrealdea FJ, Torrealdea F. (2011). Energy and information in Hodgkin-Huxley neurons. Physical review. E, Statistical, nonlinear, and soft matter physics. 83 [PubMed]

Niven JE, Anderson JC, Laughlin SB. (2007). Fly photoreceptors demonstrate energy-information trade-offs in neural coding. PLoS biology. 5 [PubMed]

Parnas I, Segev I. (1979). A mathematical model for conduction of action potentials along bifurcating axons. The Journal of physiology. 295 [PubMed]

Pissadaki EK, Bolam JP. (2013). The energy cost of action potential propagation in dopamine neurons: clues to susceptibility in Parkinson's disease. Frontiers in computational neuroscience. 7 [PubMed]

RALL W. (1959). Branching dendritic trees and motoneuron membrane resistivity. Experimental neurology. 1 [PubMed]

RALL W. (1962). Theory of physiological properties of dendrites. Annals of the New York Academy of Sciences. 96 [PubMed]

Rall W. (1989). Cable theory for dendritic neurons Methods In Neuronal Modeling: From Synapses To Networks.

Rolfe DF, Brown GC. (1997). Cellular energy utilization and molecular origin of standard metabolic rate in mammals. Physiological reviews. 77 [PubMed]

Schmidt-Hieber C, Bischofberger J. (2010). Fast sodium channel gating supports localized and efficient axonal action potential initiation. The Journal of neuroscience : the official journal of the Society for Neuroscience. 30 [PubMed]

Sengupta B, Faisal AA, Laughlin SB, Niven JE. (2013). The effect of cell size and channel density on neuronal information encoding and energy efficiency. Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism. 33 [PubMed]

Sengupta B, Stemmler M, Laughlin SB, Niven JE. (2010). Action potential energy efficiency varies among neuron types in vertebrates and invertebrates. PLoS computational biology. 6 [PubMed]

Shu Y, Duque A, Yu Y, Haider B, McCormick DA. (2007). Properties of action-potential initiation in neocortical pyramidal cells: evidence from whole cell axon recordings. Journal of neurophysiology. 97 [PubMed]

Shu Y, Hasenstaub A, Duque A, Yu Y, McCormick DA. (2006). Modulation of intracortical synaptic potentials by presynaptic somatic membrane potential. Nature. 441 [PubMed]

Shu Y, Yu Y, Yang J, McCormick DA. (2007). Selective control of cortical axonal spikes by a slowly inactivating K+ current. Proceedings of the National Academy of Sciences of the United States of America. 104 [PubMed]

Sokoloff L. (1960). Section I, Neurophysiology Handbook of Physiology. 3

Tomasi D, Wang GJ, Volkow ND. (2013). Energetic cost of brain functional connectivity. Proceedings of the National Academy of Sciences of the United States of America. 110 [PubMed]

West GB, Brown JH, Enquist BJ. (1997). A general model for the origin of allometric scaling laws in biology. Science (New York, N.Y.). 276 [PubMed]

Westerfield M, Joyner RW, Moore JW. (1978). Temperature-sensitive conduction failure at axon branch points. Journal of neurophysiology. 41 [PubMed]

White CR, Seymour RS. (2005). Allometric scaling of mammalian metabolism. The Journal of experimental biology. 208 [PubMed]

Yu Y, Hill AP, McCormick DA. (2012). Warm body temperature facilitates energy efficient cortical action potentials. PLoS computational biology. 8 [PubMed]

Yu Y, Shu Y, McCormick DA. (2008). Cortical action potential backpropagation explains spike threshold variability and rapid-onset kinetics. The Journal of neuroscience : the official journal of the Society for Neuroscience. 28 [PubMed]

References and models that cite this paper

Remme MWH, Rinzel J, Schreiber S. (2018). Function and energy consumption constrain neuronal biophysics in a canonical computation: Coincidence detection. PLoS computational biology. 14 [PubMed]

This website requires cookies and limited processing of your personal data in order to function. By continuing to browse or otherwise use this site, you are agreeing to this use. See our Privacy policy and how to cite and terms of use.