The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Development of input connections in neural cultures
Open accessAbstract
We introduce an approach for the quantitative assessment of the connectivity in neuronal cultures, based on the statistical mechanics of percolation on a graph. This allows us to monitor the development of the culture and to see the emergence of connectivity in the network. The culture becomes fully connected at a time equivalent to the expected time of birth. The spontaneous bursting activity that characterizes cultures develops in parallel with the connectivity. The average number of inputs per neuron can be quantitatively determined in units of m 0 , the number of activated inputs needed to excite the neuron. For m 0 ≃ 15 we find that hippocampal neurons have on average ≈60–120 inputs, whereas cortical neurons have ≈75–150, depending on neuronal density. The ratio of excitatory to inhibitory neurons is determined by using the GABA A antagonist bicuculine. This ratio changes during development and reaches the final value at day 7–8, coinciding with the expected time of the GABA switch. For hippocampal cultures the inhibitory cells comprise ≈30% of the neurons in the culture whereas for cortical cultures they are ≈20%. Such detailed global information on the connectivity of networks in neuronal cultures is at present inaccessible by any electrophysiological or other technique.
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Cites
Excitatory actions of gaba during development: the nature of the nurture
Ben-Ari, Y. (2002) · Nature Reviews Neuroscience · doi:10.1038/nrn920 · Cited by 2,448
Cortex: Statistics and Geometry of Neuronal Connectivity
Braitenberg, V., & Schüz, A. (1998) · doi:10.1007/978-3-662-03733-1 · Cited by 1,178 · cited 1×
“Reported values for m0 are in the range of 5–30 (25, 26).”
BackgroundDeveloping networks play a similar melody
Ben-Ari, Y. (2001) · Trends in Neurosciences · doi:10.1016/s0166-2236(00)01813-0 · Cited by 614
Cited by
Volpicelli-Daley, L. A., Luk, K. C., Patel, T. P., Tanik, S. A., Riddle, D. M., Stieber, A., Meaney, D. F., Trojanowski, J. Q., & Lee, V. M.-Y. (2011) · Neuron · doi:10.1016/j.neuron.2011.08.033 · Cited by 1,569
Recent advances in percolation theory and its applications
Saberi, A. A. (2015) · Physics Reports · doi:10.1016/j.physrep.2015.03.003 · Cited by 438
Neuronal circuits overcome imbalance in excitation and inhibition by adjusting connection numbers
Sukenik, N., Vinogradov, O., Weinreb, E., Segal, M., Levina, A., & Moses, E. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2018459118 · Cited by 109
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Metadata
- Authors
- Soriano, J., Rodríguez Martínez, M., Tlusty, T., & Moses, E.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2008-09-16
- Volume
- 105
- Issue
- 37
- Pages
- 13758-13763
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2074083222
- Cited by
- 174
- References
- 3
- FWCI
- 3.08
- Type
- journal article
- Language
- en
- Open access
- green
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