The First International Workshop on Computational Models of the Visual Cortex: Hierarchies, Layers, Sparsity, Saliency and Attention
Much has been advanced since the early works of the Nobel prize winners Hubel and Wiesel about the function of neurons in the primary visual cortex of cats’ brains. That work has been the source of inspiration of abundant neurophysiological studies to unveil the functionality of neurons in different areas of visual cortex. These experiments resulted in large amounts of data, which could then be used to design computational models to behave similarly to certain neurons in visual cortex. The contribution of such models is two-fold. They contribute to the better understanding of how visual information is processed in the brain, and they also contribute for the development of more robust algorithms in computer vision applications.
The aim of this workshop is to bring together recent development of computational modelling of the visual cortex of the brain:
- Single cell modeling.
- Feedforward, feedback and inhibitory mechanisms.
- The appearance of neuronal properties: sparsity and selectivity.
- Circuitry: hierarchical representations and connections between layers.
- Selecting where to look: saliency and attention.
Dr. Antonio Rodriguez-Sanchez
Dr. George Azzopardi