The DOI matches its Crossref record; 73 of the 73 references it cites were found in a registry or an index.
Metabolic cost as a unifying principle governing neuronal biophysics.
Open accessAbstract
The brain contains an astonishing diversity of neurons, each expressing only one set of ion channels out of the billions of potential channel combinations. Simple organizing principles are required for us to make sense of this abundance of possibilities and wealth of related data. We suggest that energy minimization subject to functional constraints may be one such unifying principle. We compared the energy needed to produce action potentials singly and in trains for a wide range of channel densities and kinetic parameters and examined which combinations of parameters maximized spiking function while minimizing energetic cost. We confirmed these results for sodium channels using a dynamic current clamp in neocortical fast spiking interneurons. We find further evidence supporting this hypothesis in a wide range of other neurons from several species and conclude that the ion channels in these neurons minimize energy expenditure in their normal range of spiking.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“PV cells are particularly susceptible to oxidative stress given their fast cellular metabolism and increased mitochondrial function (Hasenstaub et al., 2010; Kann et al., 2014; Inan et al., 2016).”
From The Perineuronal ‘Safety’ Net? Perineuronal Net Abnormalities in Neurological Disorders (2018) · cites this paper as Hasenstaub et al., 2010
Citations
Cites
(2023) · doi:10.1126/science · Cited by 6,063
What we can do and what we cannot do with fMRI
Logothetis, N. K. (2008) · Nature · doi:10.1038/nature06976 · Cited by 3,612
An Energy Budget for Signaling in the Grey Matter of the Brain
Attwell, D., & Laughlin, S. B. (2001) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1097/00004647-200110000-00001 · Cited by 3,543
The expensive-tissue hypothesis: The brain and the digestive system in human and primate evolution
Aiello, L. C., & Wheeler, P. (1995) · Current Anthropology · doi:10.1086/204350 · Cited by 2,291
Bayesian integration in sensorimotor learning
Körding, K. P., & Wolpert, D. M. (2004) · Nature · doi:10.1038/nature02169 · Cited by 2,004
Raichle, M. E., & Mintun, M. A. (2006) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.29.051605.112819 · Cited by 1,630
Logothetis, N. K., & Wandell, B. A. (2004) · Annual Review of Physiology · doi:10.1146/annurev.physiol.66.082602.092845 · Cited by 1,568
Molecular Structure and Physiological Function of Chloride Channels
Jentsch, T. J., Stein, V., Weinreich, F., & Zdebik, A. A. (2002) · Physiological Reviews · doi:10.1152/physrev.00029.2001 · Cited by 1,264
Variability, compensation and homeostasis in neuron and network function
Marder, E., & Goaillard, J.-M. (2006) · Nature Reviews Neuroscience · doi:10.1038/nrn1949 · Cited by 1,212
The metabolic cost of neural information
Laughlin, S. B., van Steveninck, R. R. D. R., & Anderson, J. C. (1998) · Nature Neuroscience · doi:10.1038/236 · Cited by 1,175
Cited by
Sorted by citations
Involvement of PGC-1α in the formation and maintenance of neuronal dendritic spines
Cheng, A., Wan, R., Yang, J.-L., Kamimura, N., Son, T. G., Ouyang, X., Luo, Y., Okun, E., & Mattson, M. P. (2012) · Nature Communications · doi:10.1038/ncomms2238 · Cited by 401
Pissadaki, E. K., & Bolam, J. P. (2013) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2013.00013 · Cited by 349
Why do axons differ in caliber?
Perge, J., Niven, J., Mugnaini, E., Balasubramanian, V., & Sterling, P. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.4254-11.2012 · Cited by 318
Kann, O., Papageorgiou, I. E., & Draguhn, A. (2014) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/jcbfm.2014.104 · Cited by 295
A large fraction of neocortical myelin ensheathes axons of local inhibitory neurons
Micheva, K. D., Wolman, D. N., Mensh, B. D., Pax, E., Buchanan, J., Smith, S. J., & Bock, D. D. (2016) · eLife · doi:10.7554/elife.15784 · Cited by 291
Metadata
- Authors
- Hasenstaub, A., Otte, S., Callaway, E., & Sejnowski, T. J.
- Affiliations
- Salk Institute for Biological Studies (US)
- Crick–Jacobs Center for Theoretical and Computational Biology, Salk Institute for Biological Studies, La Jolla, CA 92037; and
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2010-06-23
- Volume
- 107
- Issue
- 27
- Pages
- 12329-12334
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC2901447
- OpenAlex
- W2164189343
- Cited by
- 246
- References
- 72
- Citations by year
- 2026: 11 · 2025: 13 · 2024: 11 · 2023: 19 · 2022: 21 · 2021: 22 · 2020: 25 · 2019: 14 · 2018: 13 · 2017: 15 · 2016: 16 · 2015: 17 · 2014: 9 · 2013: 11 · 2012: 22
- FWCI
- 5.21
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Howard Hughes Medical Institute
- Francis Crick Institute
- National Institutes of Health
- National Institute of Mental Health (MH063912, R01MH063912)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Ion channel regulation and function
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Keywords
- metabolic cost, energy minimization, ion channel density, sodium channels, action potential trains, fast-spiking interneurons, neocortex, channel kinetics, energy expenditure
- MeSH terms
- Action Potentials, Sodium-Potassium-Exchanging ATPase, Algorithms, Animals, Brain, Computer Simulation, Energy Metabolism, Ion Channels, Kinetics, Membrane Potentials, Mice, Inbred C57BL, Models, Neurological, Neurons, Potassium, Sodium, Potassium Channels, Sodium Channels, Patch-Clamp Techniques, Mice
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
