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Barkowski, Jan W.
22  results:
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1

Brutvogelgemeinschaft nach Rückdeichung des Langeooger Som.. 

, In: Vogelkundliche Berichte aus Niedersachsen / Hrsg.: Niedersächsische Ornithologische Vereinigung, Goslar
ein Modell zu Untersuchung des Meeresspiegelanstiegs? 
Oberdiek, Nadine ; Barkowski, Jan W. ; Freund, Holger.. (2010)  - p. 203-208
Copies: Zentrale;
 
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2

Klimawandel, Meeresspiegelanstieg und Brutvögel im Wattenm.. 

, In: Vogelkundliche Berichte aus Niedersachsen / Hrsg.: Niedersächsische Ornithologische Vereinigung, Goslar
Kenntnisstand und Ausblick 
Thyen, Stefan ; Barkowski, Jan W. ; Freund, Holger ; Oberdiek, Nadine. (2010)  - p. 193-201
Copies: Zentrale;
 
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3

Geochemistry of salt marsh sediments deposited during simul..:

Kolditz, Kerstin ; Dellwig, Olaf ; Barkowski, Jan...
Geo-Marine Letters.  32 (2011)  1 - p. 49-60 , 2011
Link: https://doi.org/10.1007/..
 
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4

Geochemistry of Holocene salt marsh and tidal flat sediment..:

KOLDITZ, KERSTIN ; DELLWIG, OLAF ; BARKOWSKI, JAN...
Sedimentology.  59 (2011)  2 - p. 337-355 , 2011
Link: https://doi.org/10.1111/..
 
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5

The Impact of Tidal Inundation on Salt Marsh Vegetation aft..:

Barkowski, J. W. ; Kolditz, K. ; Brumsack, H..
Journal of Coastal Conservation.  13 (2009)  4 - p. 185-206 , 2009
Link: https://www.jstor.org/st..
 
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6

The impact of tidal inundation on salt marsh vegetation aft..:

Barkowski, J. W. ; Kolditz, K. ; Brumsack, H..
Journal of Coastal Conservation.  13 (2009)  4 - p. 185-206 , 2009
Link: https://doi.org/10.1007/..
 
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7

A Way toward Human Level Artificial Intelligence:

Dunin-Barkowski, W. L. ; Shakirov, V. V.
Optical Memory and Neural Networks.  28 (2019)  1 - p. 21-26 , 2019
Link: https://doi.org/10.3103/..
 
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8

Review of State-of-the-Art in Deep Learning Artificial Inte..:

Shakirov, V. V. ; Solovyeva, K. P. ; Dunin-Barkowski, W. L.
Optical Memory and Neural Networks.  27 (2018)  2 - p. 65-80 , 2018
Link: https://doi.org/10.3103/..
 
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9

An approximate backpropagation learning rule for memristor ..:

Negrov, D. ; Karandashev, I. ; Shakirov, V....
Neurocomputing.  237 (2017)  - p. 193-199 , 2017
Link: https://doi.org/10.1016/..
 
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10

Computational verification of approximate probabilistic est..:

Karandashev, I. M. ; Dunin-Barkowski, W. L.
Optical Memory and Neural Networks.  24 (2015)  1 - p. 8-17 , 2015
Link: https://doi.org/10.3103/..
 
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11

Prognosis of dynamical systems behavior based on cerebellar..:

Dunin-Barkowski, W. L. ; Flerov, Yu. A. ; Vyshinsky, L. L.
Optical Memory and Neural Networks.  20 (2011)  1 - p. 43-58 , 2011
Link: https://doi.org/10.3103/..
 
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12

L-plotting—A method for visual analysis of physiological ex..:

Dunin-Barkowski, W.L. ; Lovering, A.T. ; Orem, J.M....
Neurocomputing.  74 (2010)  1-3 - p. 328-336 , 2010
Link: https://doi.org/10.1016/..
 
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13

Modeling of the role of Cl− channels in Ca2+ translocation ..:

Artinian, L. R. ; Dunin-Barkowski, W. L. ; Chailakhyan, L. M.
Doklady Biochemistry and Biophysics.  409 (2006)  1 - p. 206-210 , 2006
Link: https://doi.org/10.1134/..
 
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14

Great brain discoveries: when white spots disappear?:

Dunin-Barkowski, W.L.
Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment.  502 (2003)  2-3 - p. 369-371 , 2003
Link: https://doi.org/10.1016/..
 
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15

Respiratory pattern generator model using Ca ++ -induced Ca..:

Dunin-Barkowski, W. L. ; Escobar, A. L. ; Lovering, A. T..
Biological Cybernetics.  89 (2003)  4 - p. 274-288 , 2003
Link: https://doi.org/10.1007/..
 
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