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@BOOK{Aertsen:917182,
      author       = {Aertsen, Ad and Grün, Sonja and Maldonado, Pedro E. and
                      Palm, Günther},
      title        = {{I}ntroducing {C}omputation to {N}euroscience : {S}elected
                      {P}apers of {G}eorge {G}erstein; 1st ed.},
      address      = {Cham},
      publisher    = {Springer International Publishing},
      reportid     = {FZJ-2023-00414},
      isbn         = {978-3-030-87446-9},
      series       = {Springer Series in Computational Neuroscience},
      pages        = {548 p., 224 b/w illustrations, 29 illustrations in colour},
      year         = {2022},
      abstract     = {1. Integrate and fire: RC circuits to model neurons and
                      reward monkeys -- 2. Neuronal spike trains, stochastic point
                      processes, and why George Gerstein’s papers are still
                      worth reading -- 3. Visual Functions of Inferior Temporal
                      Cortex -- 4. Early Days in the Gerstein Lab: Neuronal
                      Plasticity in 1, 2, and 3 Dimensions -- 5. Patterns in Spike
                      Trains -- 6. Introduction to the Gravity Papers -- 7. On
                      correlations and interactions between neurons and with
                      George Gerstein -- 8. Significance of Correlations between
                      Spike Trains -- 9. Spatial-Temporal Spike Patterns -- 10.
                      Does Cross Correlation Have a Unique Interpretation? -- 11.
                      Neuronal Plasticity and my Experience Working with George L.
                      Gerstein -- 12. Auditory Experiments and Modeling -- 13.
                      Thinking about Analysis Methods with George in Philadelphia,
                      Cambridge and Newcastle -- 14. Higher-order Correlations and
                      Synfire Chains -- Nencki Award for George L. Gerstein},
      cin          = {INM-6 / IAS-6 / INM-10},
      ddc          = {612.8},
      cid          = {I:(DE-Juel1)INM-6-20090406 / I:(DE-Juel1)IAS-6-20130828 /
                      I:(DE-Juel1)INM-10-20170113},
      pnm          = {5232 - Computational Principles (POF4-523) / 5231 -
                      Neuroscientific Foundations (POF4-523)},
      pid          = {G:(DE-HGF)POF4-5232 / G:(DE-HGF)POF4-5231},
      typ          = {PUB:(DE-HGF)3},
      doi          = {10.1007/978-3-030-87447-6},
      url          = {https://juser.fz-juelich.de/record/917182},
}