Gaia
Neurozientzia Konputazionala
Gaiari buruzko datu orokorrak
- Modalitatea
- Ikasgelakoa
- Hizkuntza
- Ingelesa
Irakasgaiaren azalpena eta testuingurua
Neurobiological basis, Elements of neuronal dynamics, Signal transmission and neuronal coding,Oscillations and synchrony, Spatially structured networks, Plasticity and coding
Irakasleak
| Izena | Erakundea | Kategoria | Doktorea | Irakaskuntza-profila | Arloa | Helbide elektronikoa |
|---|---|---|---|---|---|---|
| MAGNUSON , JAMES | BCBL- Basque Center on Cognition, Brain and Language | Besteak | Doktorea | |||
| PEREZ NAVARRO JOSE JAVIER | BCBL- Basque Center on Cognition, Brain and Language | Besteak | Doktorea | josejpereznavarro@gmail.com |
Gaitasunak
| Izena | Pisua |
|---|---|
| CE1. Adquisición de conocimientos avanzados sobre neurociencia computacional | 25.0 % |
| CE2. Conocer las principales metodologías en neurociencia computacional. | 25.0 % |
| CE3. Aplicar los conocimientos adquiridos de forma creativa para identificar problemas y plantear modelos sobre los temas discutidos en el curso. | 25.0 % |
| CE4. Identificación de los sistemas y procesos neurociencia computacional. | 25.0 % |
Irakaskuntza motak
| Mota | Ikasgelako orduak | Ikasgelaz kanpoko orduak | Orduak guztira |
|---|---|---|---|
| Magistrala | 10 | 10 | 20 |
| Gelako p. | 10 | 10 | 20 |
| Ordenagailuko p. | 10 | 25 | 35 |
Ebaluazio-sistemak
| Izena | Gutxieneko ponderazioa | Gehieneko ponderazioa |
|---|---|---|
| Azalpenak | 50.0 % | 50.0 % |
| Lan praktikoak | 50.0 % | 50.0 % |
Irakasgai-zerrenda
1. Basic principles of neuronal information processing and neuronal communication.2. Neurobiological aspects.
3. Functional aspects.
4. Theoretical/quantitative aspects.
Bibliografia
Oinarrizko bibliografia
- Dayan, P. and Abbott, L. (2005) Theoretical Neuroscience. Computational and Mathematical Modeling of Neural Systems., MIT Press.- Moss, F and Gielen , C. (Eds.) (2001) Handbook of Biological Physics, Vol. 4 Neuro-Informatics and Neural Modeling.
Elsevier.
- Trappenberg, T.P. (2002) Fundamentals of Computational Neuroscience. Oxford University Press.
- Amit D.J. (1989) Modeling Brain Function. The world of attractor neural networks. Cambridge University Press.
- Gerstner, W. and Kistler, W.M. (2002) Spiking Neuron Models. Cambridge University Press.
Aldizkariak
- Biological Cybernetics- Neural Computation
- Neural Networks
- J. Neurophysiology
- Frontiers in Computational Neuroscience
- PLoS Computational Biology
- Nature Neuroscience