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Frontiers in Computational Neuroscience|November 5, 2019
Prediction and Classification of Alzheimer's Disease Based on Combined Features From Apolipoprotein-E Genotype, Cerebrospinal Fluid, MR, and FDG-PET Imaging BiomarkersYubraj Gupta, Ramesh Kumar Lama, Goo-Rak Kwon, et al.Frontiers in Computational Neuroscience|November 8, 2019
Neuronal Morphology and Synapse Count in the Nematode WormRobert FriedmanFrontiers in Computational Neuroscience|November 16, 2020
Corrigendum: The Energy Homeostasis Principle: Neuronal Energy Regulation Drives Local Network Dynamics Generating BehaviorRodrigo C Vergara, Sebastián Jaramillo-Riveri, Alejandro Luarte, et al.Frontiers in Computational Neuroscience|October 19, 2020
A Systematic Framework for Olfactory Bulb Signal TransformationsThomas A Cleland, Ayon BorthakurFrontiers in Computational Neuroscience|February 4, 2020
Network Models Predict That Pyramidal Neuron Hyperexcitability and Synapse Loss in the dlPFC Lead to Age-Related Spatial Working Memory Impairment in Rhesus MonkeysSara Ibañez, Jennifer I Luebke, Wayne Chang, et al.Frontiers in Computational Neuroscience|February 4, 2020
The Self-Face Paradigm Improves the Performance of the P300-Speller SystemZhaohua Lu, Qi Li, Ning Gao, et al.Frontiers in Computational Neuroscience|March 3, 2020
Demystifying Brain Tumor Segmentation Networks: Interpretability and Uncertainty AnalysisParth Natekar, Avinash Kori, Ganapathy KrishnamurthiFrontiers in Computational Neuroscience|March 3, 2020
A Curiosity-Based Learning Method for Spiking Neural NetworksMengting Shi, Tielin Zhang, Yi ZengFrontiers in Computational Neuroscience|February 15, 2019
A Simplified Model of Communication Between Time Cells: Accounting for the Linearly Increasing Timing ImprecisionMustafa Zeki, Fuat BalcıFrontiers in Computational Neuroscience|January 29, 2019
Bio-inspired Analysis of Deep Learning on Not-So-Big Data Using Data-PrototypesThalita F Drumond, Thierry Viéville, Frédéric AlexandrePageof 205