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Understanding neural circuit development through theory and models

Leonidas M. A. Richter, View ORCID ProfileJulijana Gjorgjieva
doi: https://doi.org/10.1101/121574
Leonidas M. A. Richter
1Computation in Neural Circuits Group, Max Planck Institute for Brain Research, 60438 Frankfurt, Germany
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Julijana Gjorgjieva
1Computation in Neural Circuits Group, Max Planck Institute for Brain Research, 60438 Frankfurt, Germany
2School of Life Sciences, Technical University of Munich, 85354 Freising, Germany
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Abstract

How are neural circuits organized and tuned to achieve stable function and produce robust behavior? The organization process begins early in development and involves a diversity of mechanisms unique to this period. We summarize recent progress in theoretical neuroscience that has substantially contributed to our understanding of development at the single neuron, synaptic and network level. We go beyond classical models of topographic map formation, and focus on the generation of complex spatiotemporal activity patterns, their role in refinements of particular circuit features, and the emergence of functional computations. Aided by the development of novel quantitative methods for data analysis, theoretical and computational models have enabled us to test the adequacy of specific assumptions, explain experimental data and propose testable hypotheses. With the accumulation of larger data sets, theory and models will likely play an even more important role in understanding the development of neural circuits.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted March 29, 2017.
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Understanding neural circuit development through theory and models
Leonidas M. A. Richter, Julijana Gjorgjieva
bioRxiv 121574; doi: https://doi.org/10.1101/121574
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Understanding neural circuit development through theory and models
Leonidas M. A. Richter, Julijana Gjorgjieva
bioRxiv 121574; doi: https://doi.org/10.1101/121574

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