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Neuroinformatics|April 1, 2005
Artificial neural networks and artificial organisms can predict Alzheimer pathology in individual patients only on the basis of cognitive and functional statusMassimo Buscema, Enzo Grossi, David Snowdon, et al.Neuroinformatics|April 1, 2005
A probabilistic functional atlas of the human subthalamic nucleusWieslaw L Nowinski, Dmitry Belov, Pierre Pollak, et al.Neuroinformatics|March 20, 2008
A freeware java tool for spatial point analysis of neuronal structuresBarry G CondronNeuroinformatics|February 6, 2014
Efficient spiking neural network model of pattern motion selectivity in visual cortexMichael Beyeler, Micah Richert, Nikil D Dutt, et al.Neuroinformatics|May 29, 2008
Workflow and methods of high-content time-lapse analysis for quantifying intracellular calcium signalsFuhai Li, Xiaobo Zhou, Jinmin Zhu, et al.Neuroinformatics|January 17, 2025
Predicting Paediatric Brain Disorders from MRI Images Using Advanced Deep Learning TechniquesYogesh Kumar, Priya Bhardwaj, Supriya Shrivastav, et al.Neuroinformatics|January 15, 2025
Twenty Years of Neuroinformatics: A Bibliometric AnalysisMiguel Guillén-Pujadas, David Alaminos, Emilio Vizuete-Luciano, et al.Neuroinformatics|October 17, 2024
A Deep Learning-based Pipeline for Segmenting the Cerebral Cortex Laminar Structure in Histology ImagesJiaxuan Wang, Rui Gong, Shahrokh Heidari, et al.Neuroinformatics|September 10, 2024
Understanding Learning from EEG Data: Combining Machine Learning and Feature Engineering Based on Hidden Markov Models and Mixed ModelsGabriel R Palma, Conor Thornberry, Seán Commins, et al.Neuroinformatics|February 22, 2025
Unraveling Integration-Segregation Imbalances in Schizophrenia Through Topological High-Order Functional ConnectivityQiang Li, Wei Huang, Chen Qiao, et al.Pageof 77