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Operations research in neuroscience
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ECONIS (ZBW)
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A semi-supervised inattention detection method using biological signal
Choi, Yerim
;
Park, Jonghun
;
Shin, Dongmin
- In:
Operations research in neuroscience
,
(pp. 59-78)
.
2017
Persistent link: https://www.econbiz.de/10011763274
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2
Anti-periodic solutions for state-dependent impulsive recurrent neural networks with time-varying and continuously distributed delays
Şaylı, Mustafa
;
Yılmaz, Enes
- In:
Operations research in neuroscience
,
(pp. 159-185)
.
2017
Persistent link: https://www.econbiz.de/10011763286
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3
Operations research in neuroscience
Kropat, Erik
;
Tikidji-Hamburyan, Ruben A.
;
Weber, …
- In:
Operations research in neuroscience
,
(pp. 1-4)
.
2017
Persistent link: https://www.econbiz.de/10011763155
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4
A bi-objective network design approach for discovering functional modules linking Golgi apparatus fragmentation and neuronal death
Álvarez-Miranda, Eduardo
;
Farhan, Hesso
;
Luipersbeck, …
- In:
Operations research in neuroscience
,
(pp. 5-30)
.
2017
Persistent link: https://www.econbiz.de/10011763160
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5
Voxel-MARS : a method for early detection of Alzheimer's disease by classification of structural brain MRI
Çevik, Alper
;
Weber, Gerhard-Wilhelm
;
Eyüboğlu, B. Murat
- In:
Operations research in neuroscience
,
(pp. 31-57)
.
2017
Persistent link: https://www.econbiz.de/10011763271
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6
Structure preserving integration and model order reduction of skew-gradient reaction-diffusion systems
Karasözen, Bülent
;
Küçükseyhan, Tuğba
;
Uzunca, Murat
- In:
Operations research in neuroscience
,
(pp. 79-106)
.
2017
Persistent link: https://www.econbiz.de/10011763277
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7
Totally model-free actor-critic recurrent neural-network reinforcement learning in non-Markovian domains
Mizutani, Eiji
;
Dreyfus, Stuart
- In:
Operations research in neuroscience
,
(pp. 107-131)
.
2017
Persistent link: https://www.econbiz.de/10011763280
Saved in:
8
A comparative stationarity analysis of EEG signals
Rasoulzadeh, V.
;
Erkus, E. C.
;
Yogurt, A.
;
Ulusoy, I.
; …
- In:
Operations research in neuroscience
,
(pp. 133-157)
.
2017
Persistent link: https://www.econbiz.de/10011763283
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