Computational neuroscience.
Overview
| Works: | 60 works in 33 publications in 33 languages | |
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Titles
Nature-inspired computing paradigms in systems = reliability, availability, maintainability, safety and cost (RAMS+C) and prognostics and health management (PHM) /
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Futuristic design and intelligent computational techniques in neuroscience and neuroengineering
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Data Intelligence and Cognitive Informatics = Proceedings of ICDICI 2021 /
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Deep Learning to See = Towards New Foundations of Computer Vision /
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Neural Assemblies = An Alternative Approach to Classical Artificial Intelligence /
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Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications = 9th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2022, Puerto de la Cruz, Tenerife, Spain, May 31 – June 3, 2022, Proceedings, Part I /
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The Brain Masters of Vienna = Psychology and Neuroscience Pioneers around the Secession up to the Anschluss /
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Tutorials in Mathematical Biosciences.. I,. Mathematical Neuroscience
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Computational neuroscience for advancing artificial intelligence = models, methods and applications /
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Modeling in the neurosciences = from biological systems to neuromimetic robotics /
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Computational neuroscience = realistic modeling for experimentalists /
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Validating neuro-computational models of neurological and psychiatric disorders
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Stochastic biomathematical models = with applications to neuronal modeling /
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Phase response curves in neuroscience = theory, experiment, and analysis /
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Calculus of thought = neuromorphic logistic regression in cognitive machines /
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A new foundation for representation in cognitive and brain science = category theory and the hippocampus /
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Computational neuroscience and cognitive modelling = a student's introduction to methods and procedures /
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Computational neuroscience = simulated demyelinating neuropathies and neuronopathies /
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The digital synaptic neural substrate = a new approach to computational creativity /
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BioInformation processing = a primer on computational cognitive science /
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From human attention to computational attention = a multidisciplinary approach /
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Principles of noology = toward a theory and science of intelligence /
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Form versus function = theory and models for neuronal substrates /
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Neuromorphic cognitive systems = a learning and memory centered approach /
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Neuroimaging, software, and communication = the social code of source code /
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Time-space, spiking neural networks and brain-inspired artificial intelligence
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Computational systems biology of synaptic plasticity = modelling of biochemical pathways related to memory formation and impairment /
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Computational psychiatry : = mathematical modeling of mental illness /
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