The DOI matches its Crossref record; 56 of the 56 references it cites were found in a registry or an index.
Thermodynamics and signatures of criticality in a network of neurons
Open accessAbstract
Significance: The activity of a brain—or even a small region of a brain devoted to a particular task—cannot be just the summed activity of many independent neurons. Here we use methods from statistical physics to describe the collective activity in the retina as it responds to complex inputs such as those encountered in the natural environment. We find that the distribution of messages that the retina sends to the brain is very special, mathematically equivalent to the behavior of a material near a critical point in its phase diagram.
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Cites
Neural networks and physical systems with emergent collective computational abilities.
Hopfield, J. J. (1982) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.79.8.2554 · Cited by 19,270
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More Is Different: Broken symmetry and the nature of the hierarchical structure of science.
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Fractal measures and their singularities: The characterization of strange sets
Halsey, T. C., Jensen, M. H., Kadanoff, L. P., Procaccia, I., & Shraiman, B. I. (1986) · Physical Review A · doi:10.1103/physreva.33.1141 · Cited by 3,302
Spikes: Exploring the Neural Code
Rieke, F. M., Warland, D., van Steveninck, R. R. D. R., & Bialek, W. (1996) · Medical Entomology and Zoology · Cited by 2,844
Self-citationHalsey, T. C., Jensen, M. H., Kadanoff, L. P., Procaccia, I., & Shraiman, B. I. (1986) · Physical Review A · doi:10.1103/physreva.34.1601 · Cited by 2,491
Neuronal Avalanches in Neocortical Circuits
Beggs, J. M., & Plenz, D. (2003) · The Journal of Neuroscience · doi:10.1523/jneurosci.23-35-11167.2003 · Cited by 2,325
Modeling Brain Function: The World of Attractor Neural Networks
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Introduction to the Theory of Neural Computation
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Cited by
The BrainScaleS-2 Accelerated Neuromorphic System With Hybrid Plasticity
Pehle, C., Billaudelle, S., Cramer, B., Kaiser, J., Schreiber, K., Stradmann, Y., Weis, J., Leibfried, A., Müller, E., & Schemmel, J. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.795876 · Cited by 233
Rigidity transitions in development and disease
Hannezo, E., & Heisenberg, C.-P. (2022) · Trends in Cell Biology · doi:10.1016/j.tcb.2021.12.006 · Cited by 69
Multiplex visibility graphs to investigate recurrent neural network dynamics
Bianchi, F. M., Livi, L., Alippi, C., & Jenssen, R. (2017) · Scientific Reports · doi:10.1038/srep44037 · Cited by 41
Metadata
- Authors
- Tkačik, G., Mora, T., Marre, O., Amodei, D., Palmer, S. E., Berry, M. J., & Bialek, W.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2015-09
- Volume
- 112
- Issue
- 37
- Pages
- 11508-11513
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W1881334935
- Cited by
- 253
- References
- 56
- FWCI
- 13.46
- Type
- journal article
- Language
- en
- Open access
- green
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- Tkačik, G., Mora, T., Marre, O., Amodei, D., Palmer, S. E., Berry, M. J., & Bialek, W. (2015). Thermodynamics and signatures of criticality in a network of neurons. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1514188112
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
