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]

See more from authors: Attwell D · Laughlin SB

References and models cited by this paper
References and models that cite this paper

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

Aumentado-Armstrong T, Metzen MG, Sproule MK, Chacron MJ. (2015). Electrosensory Midbrain Neurons Display Feature Invariant Responses to Natural Communication Stimuli. PLoS computational biology. 11 [PubMed]

Brette R. (2013). Sharpness of spike initiation in neurons explained by compartmentalization. PLoS computational biology. 9 [PubMed]

Chklovskii DB. (2004). Exact solution for the optimal neuronal layout problem. Neural computation. 16 [PubMed]

Clark BA, Monsivais P, Branco T, London M, Häusser M. (2005). The site of action potential initiation in cerebellar Purkinje neurons. Nature neuroscience. 8 [PubMed]

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

Cunningham MO et al. (2006). Neuronal metabolism governs cortical network response state. Proceedings of the National Academy of Sciences of the United States of America. 103 [PubMed]

Fardet T, Levina A. (2020). Simple Models Including Energy and Spike Constraints Reproduce Complex Activity Patterns and Metabolic Disruptions PLoS computational biology. 16 [PubMed]

Fiebig F, Lansner A. (2017). A Spiking Working Memory Model Based on Hebbian Short-Term Potentiation. The Journal of neuroscience : the official journal of the Society for Neuroscience. 37 [PubMed]

Gupta R, Reneaux M, Karmeshu. (2016). Role of Heterogeneous Macromolecular Crowding and Geometrical Irregularity at Central Excitatory Synapses in Shaping Synaptic Transmission. PloS one. 11 [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, Engl E, Attwell D, Jolivet RB. (2019). Energy-efficient information transfer at thalamocortical synapses. PLoS computational biology. 15 [PubMed]

Häusser M, Monsivais P. (2003). Less means more: inhibition of spontaneous firing triggers persistent increases in excitability. Neuron. 40 [PubMed]

Hübel N, Andrew RD, Ullah G. (2016). Large extracellular space leads to neuronal susceptibility to ischemic injury in a Na+/K+ pumps-dependent manner. Journal of computational neuroscience. 40 [PubMed]

Johansson C, Lansner A. (2007). Imposing biological constraints onto an abstract neocortical attractor network model. Neural computation. 19 [PubMed]

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

Karbowski J. (2003). How does connectivity between cortical areas depend on brain size? Implications for efficient computation. Journal of computational neuroscience. 15 [PubMed]

Kilinc D, Demir A. (2017). Noise in Neuronal and Electronic Circuits: A General Modeling Framework and Non-Monte Carlo Simulation Techniques. IEEE transactions on biomedical circuits and systems. 11 [PubMed]

Kilinc D, Demir A. (2018). Spike timing precision of neuronal circuits. Journal of computational neuroscience. 44 [PubMed]

McCauley JP et al. (2020). Circadian Modulation of Neurons and Astrocytes Controls Synaptic Plasticity in Hippocampal Area CA1. Cell reports. 33 [PubMed]

Migliore M, Shepherd GM. (2002). Emerging rules for the distributions of active dendritic conductances. Nature reviews. Neuroscience. 3 [PubMed]

Monsivais P, Clark BA, Roth A, Häusser M. (2005). Determinants of action potential propagation in cerebellar Purkinje cell axons. The Journal of neuroscience : the official journal of the Society for Neuroscience. 25 [PubMed]

Olshausen BA, Field DJ. (2005). How close are we to understanding v1? Neural computation. 17 [PubMed]

Platkiewicz J, Brette R. (2011). Impact of fast sodium channel inactivation on spike threshold dynamics and synaptic integration. PLoS computational biology. 7 [PubMed]

Rakowski F, Karbowski J. (2017). Optimal synaptic signaling connectome for locomotory behavior in Caenorhabditis elegans: Design minimizing energy cost. PLoS computational biology. 13 [PubMed]

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]

Sangrey TD, Friesen WO, Levy WB. (2004). Analysis of the optimal channel density of the squid giant axon using a reparameterized Hodgkin-Huxley model. Journal of neurophysiology. 91 [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]

Wei Y, Ullah G, Ingram J, Schiff SJ. (2014). Oxygen and seizure dynamics: II. Computational modeling. Journal of neurophysiology. 112 [PubMed]

Yang J, Shakil H, Ratté S, Prescott SA. (2022). Minimal requirements for a neuron to co-regulate many properties and the implications for ion channel correlations and robustness eLife. 11 [PubMed]

Zang Y, Dieudonné S, De Schutter E. (2018). Voltage- and Branch-Specific Climbing Fiber Responses in Purkinje Cells Cell reports. 24 [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.