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Refinado por: assunto: Brain remover tipo de recurso: Book Chapters remover
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1
Computational Concepts for Reconstructing and Simulating Brain Tissue
Computational Concepts for Reconstructing and Simulating Brain Tissue
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Computational Concepts for Reconstructing and Simulating Brain Tissue

Schürmann, Felix ; Courcol, Jean-Denis ; Ramaswamy, Srikanth

Advances in experimental medicine and biology, 2022, Vol.1359, p.237-259 [Periódico revisado por pares]

Cham: Springer International Publishing

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2
Cortical and Subcortical Contributions to Predicting Intelligence Using 3D ConvNets
Cortical and Subcortical Contributions to Predicting Intelligence Using 3D ConvNets
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Cortical and Subcortical Contributions to Predicting Intelligence Using 3D ConvNets

Zou, Yukai ; Jang, Ikbeom ; Reese, Timothy G. ; Yao, Jinxia ; Zhu, Wenbin ; Rispoli, Joseph V.

Adolescent Brain Cognitive Development Neurocognitive Prediction, 2019, p.176-185 [Periódico revisado por pares]

Cham: Springer International Publishing

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3
A Deep Neural Network Classification Approach for Alzheimer’s Disease Diagnosis
A Deep Neural Network Classification Approach for Alzheimer’s Disease Diagnosis
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A Deep Neural Network Classification Approach for Alzheimer’s Disease Diagnosis

Benyoussef, El Mehdi ; Elbyed, Abdeltif ; Hadiri, Hind El

Advanced Intelligent Systems for Sustainable Development (AI2SD’2019), 2020, p.12-20

Cham: Springer International Publishing

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4
3D MRI Classification Using KNN and Deep Neural Network for Alzheimer’s Disease Diagnosis
3D MRI Classification Using KNN and Deep Neural Network for Alzheimer’s Disease Diagnosis
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3D MRI Classification Using KNN and Deep Neural Network for Alzheimer’s Disease Diagnosis

Benyoussef, El Mehdi ; Elbyed, Abdeltif ; El Hadiri, Hind

Advanced Intelligent Systems for Sustainable Development (AI2SD’2018), 2019, p.154-158

Cham: Springer International Publishing

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5
Neuro-Glial Interaction: SONG-Net
Neuro-Glial Interaction: SONG-Net
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Neuro-Glial Interaction: SONG-Net

Arik, Sabri ; Huang, Tingwen ; Lai, Weng Kin ; Liu, Qingshan

Neural Information Processing, 2015, Vol.9491, p.619-626 [Periódico revisado por pares]

Switzerland: Springer International Publishing AG

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6
Minimal BSDT Abstract Selectional Machines and Their Selectional and Computational Performance
Minimal BSDT Abstract Selectional Machines and Their Selectional and Computational Performance
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Minimal BSDT Abstract Selectional Machines and Their Selectional and Computational Performance

Gopych, Petro

Intelligent Data Engineering and Automated Learning - IDEAL 2007, p.198-208 [Periódico revisado por pares]

Berlin, Heidelberg: Springer Berlin Heidelberg

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7
On Two-Layer Brain-Inspired Hierarchical Topologies – A Rent’s Rule Approach
On Two-Layer Brain-Inspired Hierarchical Topologies – A Rent’s Rule Approach
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On Two-Layer Brain-Inspired Hierarchical Topologies – A Rent’s Rule Approach

Beiu, Valeriu ; Madappuram, Basheer A. M. ; Kelly, Peter M. ; McDaid, Liam J.

Transactions on High-Performance Embedded Architectures and Compilers IV, p.311-333 [Periódico revisado por pares]

Berlin, Heidelberg: Springer Berlin Heidelberg

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8
Brain organization: From cells and circuits to systems and networks
Brain organization: From cells and circuits to systems and networks
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Brain organization: From cells and circuits to systems and networks

Fornito, Alex Haaland, Kathleen Y ; Brown, Gregory G ; Crosson, Bruce ; King, Tricia Z

APA handbook of neuropsychology: Neuroscience and neuromethods, 2023, Vol.2, p.3-32

Washington, DC: American Psychological Association

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9
Neural mechanisms underlying age-related changes in attentional selectivity
Neural mechanisms underlying age-related changes in attentional selectivity
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Neural mechanisms underlying age-related changes in attentional selectivity

Kennedy, Briana L. ; Mather, Mara Samanez-Larkin, Gregory R

The Aging Brain, 2019, p.45-72

Washington, DC: American Psychological Association

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10
Embodiment, Computation, and Control
Embodiment, Computation, and Control
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Embodiment, Computation, and Control

Michael L. Anderson

After Phrenology, 2014, p.209

The MIT Press

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