39 lines
1.5 KiB
Plaintext
39 lines
1.5 KiB
Plaintext
\begin{thebibliography}{}
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\bibitem[Benda et~al., 2005]{benda2005spike}
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Benda, J., Longtin, A., and Maler, L. (2005).
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\newblock Spike-frequency adaptation separates transient communication signals
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from background oscillations.
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\newblock {\em Journal of Neuroscience}, 25(9):2312--2321.
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\bibitem[Benda et~al., 2010]{benda2010linear}
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Benda, J., Maler, L., and Longtin, A. (2010).
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\newblock Linear versus nonlinear signal transmission in neuron models with
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adaptation currents or dynamic thresholds.
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\newblock {\em Journal of Neurophysiology}, 104(5):2806--2820.
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\bibitem[Gao and Han, 2012]{gao2012implementing}
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Gao, F. and Han, L. (2012).
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\newblock Implementing the nelder-mead simplex algorithm with adaptive
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parameters.
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\newblock {\em Computational Optimization and Applications}, 51(1):259--277.
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\bibitem[Todd and Andrews, 1999]{todd1999identification}
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Todd, B.~S. and Andrews, D.~C. (1999).
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\newblock The identification of peaks in physiological signals.
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\newblock {\em Computers and biomedical research}, 32(4):322--335.
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\bibitem[Walz, 2013]{walz2013Phd}
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Walz, H. (2013).
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\newblock {\em Encoding of Communication Signals in Heterogeneous Populations
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ofElectroreceptors}.
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\newblock PhD thesis, Eberhard-Karls-Universität Tübingen.
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\bibitem[Walz et~al., 2014]{walz2014static}
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Walz, H., Grewe, J., and Benda, J. (2014).
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\newblock Static frequency tuning accounts for changes in neural synchrony
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evoked by transient communication signals.
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\newblock {\em Journal of Neurophysiology}, 112(4):752--765.
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\end{thebibliography}
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