Schwalger T - Search Results

1

Efficient coding in biophysically realistic excitatory-inhibitory spiking networks.

Koren V, Blanco Malerba S, Schwalger T, Panzeri S. Koren V, et al. Among authors: schwalger t. bioRxiv [Preprint]. 2025 Jan 17:2024.04.24.590955. doi: 10.1101/2024.04.24.590955. bioRxiv. 2025. PMID: 38712237 Free PMC article. Preprint.

2

Slow fluctuations in recurrent networks of spiking neurons.

Wieland S, Bernardi D, Schwalger T, Lindner B. Wieland S, et al. Among authors: schwalger t. Phys Rev E Stat Nonlin Soft Matter Phys. 2015 Oct;92(4):040901. doi: 10.1103/PhysRevE.92.040901. Epub 2015 Oct 5. Phys Rev E Stat Nonlin Soft Matter Phys. 2015. PMID: 26565154

3

How single neuron properties shape chaotic dynamics and signal transmission in random neural networks.

Muscinelli SP, Gerstner W, Schwalger T. Muscinelli SP, et al. Among authors: schwalger t. PLoS Comput Biol. 2019 Jun 10;15(6):e1007122. doi: 10.1371/journal.pcbi.1007122. eCollection 2019 Jun. PLoS Comput Biol. 2019. PMID: 31181063 Free PMC article.

4

Mesoscopic population equations for spiking neural networks with synaptic short-term plasticity.

Schmutz V, Gerstner W, Schwalger T. Schmutz V, et al. Among authors: schwalger t. J Math Neurosci. 2020 Apr 6;10(1):5. doi: 10.1186/s13408-020-00082-z. J Math Neurosci. 2020. PMID: 32253526 Free PMC article.

5

Low-dimensional firing-rate dynamics for populations of renewal-type spiking neurons.

Pietras B, Gallice N, Schwalger T. Pietras B, et al. Among authors: schwalger t. Phys Rev E. 2020 Aug;102(2-1):022407. doi: 10.1103/PhysRevE.102.022407. Phys Rev E. 2020. PMID: 32942450

6

Towards a theory of cortical columns: From spiking neurons to interacting neural populations of finite size.

Schwalger T, Deger M, Gerstner W. Schwalger T, et al. PLoS Comput Biol. 2017 Apr 19;13(4):e1005507. doi: 10.1371/journal.pcbi.1005507. eCollection 2017 Apr. PLoS Comput Biol. 2017. PMID: 28422957 Free PMC article.

7

Intra-ripple frequency accommodation in an inhibitory network model for hippocampal ripple oscillations.

Schieferstein N, Schwalger T, Lindner B, Kempter R. Schieferstein N, et al. Among authors: schwalger t. PLoS Comput Biol. 2024 Feb 20;20(2):e1011886. doi: 10.1371/journal.pcbi.1011886. eCollection 2024 Feb. PLoS Comput Biol. 2024. PMID: 38377147 Free PMC article.

8

Modeling brain network flexibility in networks of coupled oscillators: a feasibility study.

Chinichian N, Lindner M, Yanchuk S, Schwalger T, Schöll E, Berner R. Chinichian N, et al. Among authors: schwalger t. Sci Rep. 2024 Mar 8;14(1):5713. doi: 10.1038/s41598-024-55753-8. Sci Rep. 2024. PMID: 38459077 Free PMC article.

9

Mesoscopic description of hippocampal replay and metastability in spiking neural networks with short-term plasticity.

Pietras B, Schmutz V, Schwalger T. Pietras B, et al. Among authors: schwalger t. PLoS Comput Biol. 2022 Dec 22;18(12):e1010809. doi: 10.1371/journal.pcbi.1010809. eCollection 2022 Dec. PLoS Comput Biol. 2022. PMID: 36548392 Free PMC article.

10

When shared concept cells support associations: Theory of overlapping memory engrams.

Gastaldi C, Schwalger T, De Falco E, Quiroga RQ, Gerstner W. Gastaldi C, et al. Among authors: schwalger t. PLoS Comput Biol. 2021 Dec 30;17(12):e1009691. doi: 10.1371/journal.pcbi.1009691. eCollection 2021 Dec. PLoS Comput Biol. 2021. PMID: 34968383 Free PMC article.

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