Computational Neuroscience
CNS stream will be focused on the computational aspects of the field. The program will provide insight into a broad range of topics, including neuromechanics of movement control, dynamical neuron systems, neuroimaging, neuron-computer and brain-computer interfaces. The CNS stream program aims to provide participants with an introductory review of the contemporary computational neuroscience field and to give a practical introduction to the principles of analysis and simulation packages.
Topics of the lectures
| Circadian Clock in Mammals |
| Introduction to Machine Learning |
| Computations and Objectives behind Plasticity and Learning |
| From raw electrophysiological data to understanding neural computation |
| Fundamentals of pitch Perception |
| Models of neuronal populations and visual cortex |
| Models of single neurons and neuron-computer interface. |
| Neural field models and reaction-diffusion framework |
| Neural networks models for space representation and navigation |
| Neuromechanics of movement control |
| Neurophysiology of the spatial representation system in the medial temporal cortex |
| Plasticity and Learning in Biological Neural Circuits |
| Processing of Pitch in the Auditory System |
| Simulation of neurons and neural networks |
| Simulation Technology for Large Scale Spiking Neural Networks |
| Theories and Models of Pitch Perception |
| Towards understanding neural coding |
