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.
Ofrecido Por


Neurociencia computacional
Universidad de WashingtonAcerca de este Curso
¿Podría tu empresa beneficiarse de la capacitación de los empleados en las habilidades más demandadas?
Prueba Coursera para negociosHabilidades que obtendrás
- Computational Neuroscience
- Artificial Neural Network
- Reinforcement Learning
- Biological Neuron Model
¿Podría tu empresa beneficiarse de la capacitación de los empleados en las habilidades más demandadas?
Prueba Coursera para negociosOfrecido por
Programa - Qué aprenderás en este curso
Introduction & Basic Neurobiology (Rajesh Rao)
What do Neurons Encode? Neural Encoding Models (Adrienne Fairhall)
Extracting Information from Neurons: Neural Decoding (Adrienne Fairhall)
Information Theory & Neural Coding (Adrienne Fairhall)
Reseñas
- 5 stars71,40 %
- 4 stars22,30 %
- 3 stars3,90 %
- 2 stars1,60 %
- 1 star0,80 %
Principales reseñas sobre NEUROCIENCIA COMPUTACIONAL
Brilliant course. For a HS student the math was challenging, but the quizzes and assignments were perfect. The tutorials and supplementary materials are super helpful. All in all, I loved it.
I really enjoyed this course and think that there was a good variety of material that allowed people of many different backgrounds to take at least one thing away from this.
Starts off great but get rushed 3/4ths into the course. Too much content, too little explanation, but recovers swiftly to end on a high.
Recommended
As a self-paced student, I like this kind of course. I hope to see a whole specialization in this field with final capstone project. Thanks.
Preguntas Frecuentes
¿Cuándo podré acceder a las lecciones y tareas?
¿Qué recibiré si compro el Certificado?
¿Hay ayuda económica disponible?
¿Tienes más preguntas? Visita el Centro de Ayuda al Estudiante.