Computational Neuroscience
https://www.coursera.org/learn/computational-neuroscience
This course provides an introduction to basic computational methods for understanding what nervous systems do and for determining how they function. We will explore the computational principles governing various aspects of vision, sensory-motor control, learning, and memory. Specific topics that will be covered include representation of information by spiking neurons, processing of information in neural networks, and algorithms for adaptation and learning. We will make use of Matlab/Octave/Python demonstrations and exercises to gain a deeper understanding of concepts and methods introduced in the course. The course is primarily aimed at third- or fourth-year undergraduates and beginning graduate students, as well as professionals and distance learners interested in learning how the brain processes information.
Categoria: Data Science
Subcategoria: Machine Learning
Tipo de Curso: Course
Habilidades: Computational Neuroscience,Artificial Neural Network,Reinforcement Learning,Biological Neuron Model,
Idioma: English
Subtitulos: Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, English, Spanish
Rating: 4.6stars
Vistas: 1.010
Sitio Web: Coursera
Duracion: Approx. 26 hours to complete
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