E-LIB Suche - Ergebnisse für: Dunin-Barkowski, W. L.

1

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

2

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/..

3

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/..

4

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/..

5

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/..

6

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/..

7

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/..

8

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/..

9

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/..

10

Neural control of airflow profile during hypoxia in sleep a..:

, In: Proceedings of the Second Joint 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society] [Engineering in Medicine and Biology,

Lovering, A.T. ; Dunin-Barkowski, W. ; Vidruk, E.H.. - p. 1513,1514 , 2002

Link: https://doi.org/10.1109/..

11

Synaptic interaction of granule cells and climbing fibre on..:

, In: [Proceedings] 1992 RNNS/IEEE Symposium on Neuroinformatics and Neurocomputers,

Chalakhjan, L.M. ; Chudakov, L.I. ; Dunin-Barkowski, W.L... - p. 377,378,379,380,381,382,383,384,385,386 , 1992

Link: https://doi.org/10.1109/..

12

Structural and informational approach to neural systems:

, In: [Proceedings] 1992 RNNS/IEEE Symposium on Neuroinformatics and Neurocomputers,

Dunin-Barkowski, W.L. - p. 374,375,376 , 1992

Link: https://doi.org/10.1109/..

13

Computer simulation of a cerebellar cortex compartment: I. ..:

Dunin-Barkowski, W. L. ; Larionova, N. P.
Biological Cybernetics. 51 (1985) 6 - p. 399-406 , 1985

Link: https://doi.org/10.1007/..

14

Computer simulation of a cerebellar cortex compartment: II...:

Dunin-Barkowski, W. L. ; Larionova, N. P.
Biological Cybernetics. 51 (1985) 6 - p. 407-415 , 1985

Link: https://doi.org/10.1007/..

15

An Approximate Backpropagation Learning Rule for Memristor ..:

Negrov, D. V ; Karandashev, I. M ; Shakirov, V. V...
http://arxiv.org/abs/1511.07076. , 2015

Link: http://arxiv.org/abs/151..