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Dynamical state of the network determines the efficacy of single neuron properties in shaping the network activity
Ajith Sahasranamam, View ORCID ProfileIoannis Vlachos, View ORCID ProfileAd Aertsen, View ORCID ProfileArvind Kumar
doi: https://doi.org/10.1101/030700
Ajith Sahasranamam
1Bernstein Center Freiburg and Faculty of Biology, University of Freiburg, 79104 Freiburg, Germany.
2Computational Biology, School of Computer Science and Communication, KTH Royal Institute of Technology, Stockholm, 10044, Sweden
Ioannis Vlachos
1Bernstein Center Freiburg and Faculty of Biology, University of Freiburg, 79104 Freiburg, Germany.
2Computational Biology, School of Computer Science and Communication, KTH Royal Institute of Technology, Stockholm, 10044, Sweden
Ad Aertsen
2Computational Biology, School of Computer Science and Communication, KTH Royal Institute of Technology, Stockholm, 10044, Sweden
Arvind Kumar
1Bernstein Center Freiburg and Faculty of Biology, University of Freiburg, 79104 Freiburg, Germany.
2Computational Biology, School of Computer Science and Communication, KTH Royal Institute of Technology, Stockholm, 10044, Sweden
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Posted November 05, 2015.
Dynamical state of the network determines the efficacy of single neuron properties in shaping the network activity
Ajith Sahasranamam, Ioannis Vlachos, Ad Aertsen, Arvind Kumar
bioRxiv 030700; doi: https://doi.org/10.1101/030700
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