Subject
Computational neuroscience
General details of the subject
- Mode
- Face-to-face degree course
- Language
- English
Description and contextualization of the subject
Neurobiological basis, Elements of neuronal dynamics, Signal transmission and neuronal coding,Oscillations and synchrony, Spatially structured networks, Plasticity and coding
Teaching staff
Name | Institution | Category | Doctor | Teaching profile | Area | |
---|---|---|---|---|---|---|
MAGNUSON , JAMES | BCBL- Basque Center on Cognition, Brain and Language | Otros | Doctor | |||
PEREZ NAVARRO JOSE JAVIER | BCBL- Basque Center on Cognition, Brain and Language | Otros | Doctor | josejpereznavarro@gmail.com |
Competencies
Name | Weight |
---|---|
CE1. Advanced knowledge of Computational Neuroscience | 25.0 % |
CE2. Main research techniques in Computational Neuroscience . | 25.0 % |
CE3. Applying knowledge creatively to identify research questions and plan experimental designs for topics discussed during the course | 25.0 % |
CE4. Identifying systems and processes in Computational Neuroscience . | 25.0 % |
Study types
Type | Face-to-face hours | Non face-to-face hours | Total hours |
---|---|---|---|
Lecture-based | 10 | 10 | 20 |
Applied classroom-based groups | 10 | 10 | 20 |
Applied computer-based groups | 10 | 25 | 35 |
Assessment systems
Name | Minimum weighting | Maximum weighting |
---|---|---|
Practical tasks | 50.0 % | 50.0 % |
Presentations | 50.0 % | 50.0 % |
Temary
1. Basic principles of neuronal information processing and neuronal communication.2. Neurobiological aspects.
3. Functional aspects.
4. Theoretical/quantitative aspects.
Bibliography
Basic bibliography
- 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.
Journals
- Biological Cybernetics- Neural Computation
- Neural Networks
- J. Neurophysiology
- Frontiers in Computational Neuroscience
- PLoS Computational Biology
- Nature Neuroscience