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Computational neuroscience.
概要
作品:
17 作品在 16 項出版品 16 種語言
書目資訊
Computational neuroscience
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Mathematics for neuroscientists
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Intelligence science
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Phase response curves in neuroscience = theory, experiment, and analysis /
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Computational neuroscience for advancing artificial intelligence = models, methods and applications /
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Mathematical foundations of neuroscience
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Computational neuroscience = comprehensive approach /
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Tutorials in Mathematical Biosciences.. I,. Mathematical Neuroscience
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Dynamic-clamp = from principles to applications /
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Computing Brain Activity Maps from fMRI Time-Series Images.
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Analysis of parallel spike trains
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Stochastic methods in neuroscience
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Computational neuroscience of drug addiction
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Computational neuroscience = realistic modeling for experimentalists /
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Modeling in the neurosciences = from biological systems to neuromimetic robotics /
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Introduction to dynamic modeling of neuro-sensory systems
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Neurosciences.
Neural networks (Neurobiology)
Synaptic Transmission.
Neurons- physiology.
Neurons- Mathematical models.
Neurosciences- Mathematical models.
Neurosciences- Mathematics.
Artificial intelligence.
Computer Appl. in Life Sciences
Neural stimulation.
Neurobiology
Biomedicine.
Biomedical Engineering.
Computer Appl. in Life Sciences.
Partial Differential Equations.
Models, Neurological.
Computational Mathematics and Numerical Analysis.
Computational neuroscience.
Electrophysiology- Methodology.
Ordinary Differential Equations.
Neurons- Computer simulation.
Mathematical Biology in General.
Mathematics.
Neurosciences
Nerve Net.
Computational Biology- methods.
Neurobiology.
Drug addiction.
Biomedicine
Computational biology.
Neurosciences- methods.
Neurology.
Mathematical Modeling and Industrial Mathematics.
Stochastic processes.
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