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Schwalger, Tilo
95  Ergebnisse:
Personensuche X
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1

Shaping cortical computations via short- and long-term syna..:

Wu, Yue , 2024
Link: http://nbn-resolving.de/..
 
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2

Population dynamics of large-scale neural systems and their..:

Cakan, Caglar , 2024
Link: https://nbn-resolving.de..
 
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3

Investigation of dynamical brain networks 

a closer look at brain flexibility and its applications 
Chinichian, Narges , 2022
Link: https://nbn-resolving.de..
 
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4

The interspike-interval statistics of non-renewal neuron mo..:

Schwalger, Tilo , 2013
Link: http://nbn-resolving.de/..
 
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5

Modeling brain network flexibility in networks of coupled o..:

Chinichian, Narges ; Lindner, Michael ; Yanchuk, Serhiy...
https://depositonce.tu-berlin.de/handle/11303/21760.  , 2024
Link: https://depositonce.tu-b..
 
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6

On a Finite-Size Neuronal Population Equation:

Schmutz, Valentin ; Löcherbach, Eva ; Schwalger, Tilo
https://discovery.ucl.ac.uk/id/eprint/10178709/1/schmutz-et-al-2023-on-a-finite-size-neuronal-population-equation.pdf.  , 2023
Link: https://discovery.ucl.ac..
 
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7

Mesoscopic description of hippocampal replay and metastabil..:

Pietras, Bastian ; Schmutz, Valentin ; Schwalger, Tilo
https://discovery.ucl.ac.uk/id/eprint/10178708/1/journal.pcbi.1010809.pdf.  , 2022
Link: https://discovery.ucl.ac..
 
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8

Mesoscopic description of hippocampal replay and metastabil..:

Pietras, Bastian ; Schmutz, Valentin ; Schwalger, Tilo
http://arxiv.org/abs/2204.01675.  , 2022
Link: http://arxiv.org/abs/220..
 
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9

Mapping input noise to escape noise in integrate-and-fire n..:

Schwalger, Tilo
1432-0770.  , 2021
Link: https://depositonce.tu-b..
 
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10

Mapping Input Noise to Escape Noise in Integrate-and-fire n..:

Schwalger, Tilo
http://arxiv.org/abs/2109.07416.  , 2021
Link: http://arxiv.org/abs/210..
 
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11

Mapping input noise to escape noise in integrate-and-fire n..:

Schwalger, Tilo
https://repository.publisso.de/resource/frl:6447070.  , 2021
Link: https://repository.publi..
 
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12

On a finite-size neuronal population equation:

Schmutz, Valentin ; Löcherbach, Eva ; Schwalger, Tilo
http://arxiv.org/abs/2106.14721.  , 2021
Link: http://arxiv.org/abs/210..
 
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13

Mesoscopic population equations for spiking neural networks..:

Schmutz, Valentin ; Gerstner, Wulfram ; Schwalger, Tilo
https://discovery.ucl.ac.uk/id/eprint/10178711/1/s13408-020-00082-z.pdf.  , 2020
Link: https://discovery.ucl.ac..
 
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14

Low-dimensional firing-rate dynamics for populations of ren..:

Pietras, Bastian ; Gallice, Noé ; Schwalger, Tilo
http://arxiv.org/abs/2003.06038.  , 2020
Link: http://arxiv.org/abs/200..
 
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15

Mind the Last Spike -- Firing Rate Models for Mesoscopic Po..:

Schwalger, Tilo ; Chizhov, Anton V
http://arxiv.org/abs/1909.10007.  , 2019
Link: http://arxiv.org/abs/190..
 
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