Unstructured network topology begets order-based representation by privileged neurons
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| Title: | Unstructured network topology begets order-based representation by privileged neurons |
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| Authors: | Christoph Bauermeister, Hanna Keren, Jochen Braun |
| Source: | Biol Cybern |
| Publisher Information: | Springer Science and Business Media LLC, 2020. |
| Publication Year: | 2020 |
| Subject Terms: | Neurons, 0301 basic medicine, Neural code, 0303 health sciences, Motifs, Neural representation, Models, Neurological, Humans [MeSH], Leader neurons, Pioneer neurons, Synchronization events, Neural dynamics, Original Article, Models, Neurological [MeSH], Spiking networks, Neurons/physiology [MeSH], Nerve Net/physiology [MeSH], Action Potentials/physiology [MeSH], Heterogeneous random connectivity, Action Potentials, 03 medical and health sciences, Humans, ddc:570, Nerve Net |
| Description: | How spiking activity reverberates through neuronal networks, how evoked and spontaneous activity interacts and blends, and how the combined activities represent external stimulation are pivotal questions in neuroscience. We simulated minimal models of unstructured spiking networks in silico, asking whether and how gentle external stimulation might be subsequently reflected in spontaneous activity fluctuations. Consistent with earlier findings in silico and in vitro, we observe a privileged subpopulation of ‘pioneer neurons’ that, by their firing order, reliably encode previous external stimulation. We also confirm that pioneer neurons are ‘sensitive’ in that they are recruited by small fluctuations of population activity. We show that order-based representations rely on a ‘chain’ of pioneer neurons with different degrees of sensitivity and thus constitute an emergent property of collective dynamics. The forming of such representations is greatly favoured by a broadly heterogeneous connection topology—a broad ‘middle class’ in degree of connectedness. In conclusion, we offer a minimal model for the representational role of pioneer neurons, as observed experimentally in vitro. In addition, we show that broadly heterogeneous connectivity enhances the representational capacity of unstructured networks. |
| Document Type: | Article Other literature type |
| File Description: | application/pdf |
| Language: | English |
| ISSN: | 1432-0770 0340-1200 |
| DOI: | 10.1007/s00422-020-00819-9 |
| DOI: | 10.25673/63939 |
| Access URL: | https://link.springer.com/content/pdf/10.1007/s00422-020-00819-9.pdf https://pubmed.ncbi.nlm.nih.gov/32107622 http://www.ncbi.nlm.nih.gov/pubmed/32107622 https://link.springer.com/article/10.1007/s00422-020-00819-9 https://pubmed.ncbi.nlm.nih.gov/32107622/ https://dblp.uni-trier.de/db/journals/bc/bc114.html#BauermeisterKB20 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7062672 https://europepmc.org/article/MED/32107622 https://repository.publisso.de/resource/frl:6467672 |
| Rights: | CC BY |
| Accession Number: | edsair.doi.dedup.....c53f71290c669189bccc00c7bbc99e5a |
| Database: | OpenAIRE |
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Nájsť tento článok vo Web of Science | Abstract: | How spiking activity reverberates through neuronal networks, how evoked and spontaneous activity interacts and blends, and how the combined activities represent external stimulation are pivotal questions in neuroscience. We simulated minimal models of unstructured spiking networks in silico, asking whether and how gentle external stimulation might be subsequently reflected in spontaneous activity fluctuations. Consistent with earlier findings in silico and in vitro, we observe a privileged subpopulation of ‘pioneer neurons’ that, by their firing order, reliably encode previous external stimulation. We also confirm that pioneer neurons are ‘sensitive’ in that they are recruited by small fluctuations of population activity. We show that order-based representations rely on a ‘chain’ of pioneer neurons with different degrees of sensitivity and thus constitute an emergent property of collective dynamics. The forming of such representations is greatly favoured by a broadly heterogeneous connection topology—a broad ‘middle class’ in degree of connectedness. In conclusion, we offer a minimal model for the representational role of pioneer neurons, as observed experimentally in vitro. In addition, we show that broadly heterogeneous connectivity enhances the representational capacity of unstructured networks. |
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| ISSN: | 14320770 03401200 |
| DOI: | 10.1007/s00422-020-00819-9 |