Neuromodulator-dependent synaptic tagging and capture retroactively controls neural coding in spiking neural networks
2022 | journal article. A publication with affiliation to the University of Göttingen.
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Neuromodulator-dependent synaptic tagging and capture retroactively controls neural coding in spiking neural networks
Lehr, A. B.; Luboeinski, J. & Tetzlaff, C. (2022)
Scientific Reports, 12(1). DOI: https://doi.org/10.1038/s41598-022-22430-7
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Details
- Authors
- Lehr, Andrew B.; Luboeinski, Jannik; Tetzlaff, Christian
- Abstract
- Abstract Events that are important to an individual’s life trigger neuromodulator release in brain areas responsible for cognitive and behavioral function. While it is well known that the presence of neuromodulators such as dopamine and norepinephrine is required for memory consolidation, the impact of neuromodulator concentration is, however, less understood. In a recurrent spiking neural network model featuring neuromodulator-dependent synaptic tagging and capture, we study how synaptic memory consolidation depends on the amount of neuromodulator present in the minutes to hours after learning. We find that the storage of rate-based and spike timing-based information is controlled by the level of neuromodulation. Specifically, we find better recall of temporal information for high levels of neuromodulation, while we find better recall of rate-coded spatial patterns for lower neuromodulation, mediated by the selection of different groups of synapses for consolidation. Hence, our results indicate that in minutes to hours after learning, the level of neuromodulation may alter the process of synaptic consolidation to ultimately control which type of information becomes consolidated in the recurrent neural network.
- Issue Date
- 2022
- Journal
- Scientific Reports
- eISSN
- 2045-2322
- Language
- English
- Sponsor
- Natural Sciences and Engineering Research Council of Canada http://dx.doi.org/10.13039/501100000038
Deutsche Forschungsgemeinschaft http://dx.doi.org/10.13039/501100001659
Georg-August-Universität Göttingen http://dx.doi.org/10.13039/501100003385
Open-Access-Publikationsfonds 2023