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Architecture, constraints, and behavior
Architecture, constraints, and behavior
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Architecture, constraints, and behavior

Doyle, John C ; Csete, Marie

Proceedings of the National Academy of Sciences - PNAS, 2011-09, Vol.108 (Supplement 3), p.15624-15630 [Periódico revisado por pares]

United States: National Academy of Sciences

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In materia reservoir computing with a fully memristive architecture based on self-organizing nanowire networks
In materia reservoir computing with a fully memristive architecture based on self-organizing nanowire networks
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In materia reservoir computing with a fully memristive architecture based on self-organizing nanowire networks

Milano, Gianluca ; Pedretti, Giacomo ; Montano, Kevin ; Ricci, Saverio ; Hashemkhani, Shahin ; Boarino, Luca ; Ielmini, Daniele ; Ricciardi, Carlo

Nature materials, 2022-02, Vol.21 (2), p.195-202 [Periódico revisado por pares]

England: Nature Publishing Group

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3
Ensembles of Deep Learning Architectures for the Early Diagnosis of the Alzheimer’s Disease
Ensembles of Deep Learning Architectures for the Early Diagnosis of the Alzheimer’s Disease
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Ensembles of Deep Learning Architectures for the Early Diagnosis of the Alzheimer’s Disease

Ortiz, Andrés ; Munilla, Jorge ; Górriz, Juan M ; Ramírez, Javier

International journal of neural systems, 2016-11, Vol.26 (7), p.1650025 [Periódico revisado por pares]

Singapore: World Scientific Publishing Company

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4
SPANNER: A Self-Repairing Spiking Neural Network Hardware Architecture
SPANNER: A Self-Repairing Spiking Neural Network Hardware Architecture
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SPANNER: A Self-Repairing Spiking Neural Network Hardware Architecture

Liu, Junxiu ; Harkin, Jim ; Maguire, Liam P. ; McDaid, Liam J. ; Wade, John J.

IEEE transaction on neural networks and learning systems, 2018-04, Vol.29 (4), p.1287-1300

United States: IEEE

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5
NeuCube: A spiking neural network architecture for mapping, learning and understanding of spatio-temporal brain data
NeuCube: A spiking neural network architecture for mapping, learning and understanding of spatio-temporal brain data
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NeuCube: A spiking neural network architecture for mapping, learning and understanding of spatio-temporal brain data

Kasabov, Nikola K.

Neural networks, 2014-04, Vol.52, p.62-76 [Periódico revisado por pares]

Kidlington: Elsevier Ltd

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6
Nanostructured Materials and Architectures for Advanced Optoelectronic Synaptic Devices
Nanostructured Materials and Architectures for Advanced Optoelectronic Synaptic Devices
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Nanostructured Materials and Architectures for Advanced Optoelectronic Synaptic Devices

Ilyas, Nasir ; Wang, Jinyong ; Li, Chunmei ; Li, Dongyang ; Fu, Hao ; Gu, Deen ; Jiang, Xiangdong ; Liu, Fucai ; Jiang, Yadong ; Li, Wei

Advanced functional materials, 2022-04, Vol.32 (15), p.n/a [Periódico revisado por pares]

Hoboken: Wiley Subscription Services, Inc

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7
Improved U-Net architecture with VGG-16 for brain tumor segmentation
Improved U-Net architecture with VGG-16 for brain tumor segmentation
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Improved U-Net architecture with VGG-16 for brain tumor segmentation

Ghosh, Sourodip ; Chaki, Aunkit ; Santosh, KC

Physical and engineering sciences in medicine, 2021-09, Vol.44 (3), p.703-712 [Periódico revisado por pares]

Cham: Springer International Publishing

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8
Brain2Char: a deep architecture for decoding text from brain recordings
Brain2Char: a deep architecture for decoding text from brain recordings
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Brain2Char: a deep architecture for decoding text from brain recordings

Sun, Pengfei ; Anumanchipalli, Gopala K ; Chang, Edward F

Journal of neural engineering, 2020-12, Vol.17 (6), p.66015 [Periódico revisado por pares]

England: IOP Publishing

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9
Deconstructing and targeting the genomic architecture of human neurodegeneration
Deconstructing and targeting the genomic architecture of human neurodegeneration
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Deconstructing and targeting the genomic architecture of human neurodegeneration

De Jager, Philip L ; Yang, Hyun-Sik ; Bennett, David A

Nature neuroscience, 2018-10, Vol.21 (10), p.1310-1317 [Periódico revisado por pares]

United States: Nature Publishing Group

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10
Deep Multi-Branch CNN Architecture for Early Alzheimer’s Detection from Brain MRIs
Deep Multi-Branch CNN Architecture for Early Alzheimer’s Detection from Brain MRIs
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Deep Multi-Branch CNN Architecture for Early Alzheimer’s Detection from Brain MRIs

Mandal, Paul K ; Mahto, Rakeshkumar V

Sensors (Basel, Switzerland), 2023-09, Vol.23 (19), p.8192 [Periódico revisado por pares]

Basel: MDPI AG

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