Objective
The project aims to investigate the information processing capabilities of hierarchically structured networks of multiple and cooperating simple agents. The relationships amongst natural, formal, and artificial neural networks will be considered. Specifically, the project will address the types of information processes characterising low- and intermediate- level tasks of visual perception. The computational principles of these networks are also applicable to other complex information processes encountered in perceptual tasks.
APPROACH AND METHODS
The following assumptions will guide our investigation: (i) visual information processing can be expressed through a set of processing operators acting on the image; (ii) it is possible to interpret the processing operators in terms of simple computing agents of a network (such as a mesh of (active) resistors or a neural biological network); (iii) the processing operators are organised in complex, hierarchically structured layers. These points shall be addressed in strong cooperation with computational neuroscience and physiology. This will be done by considering the links between single artificial operators and physiologically observed receptive fields and how network architectures correspond to realistical topographical brain maps. The project gathers expertise and knowledge from different disciplines: Applied Mathematics, Electrical Engineering, Information Science, Neuroscience.
POTENTIAL
We anticipate this effort to bring convincing results to the industry and to raise the interest for new types of computing architectures that could lead to innovative products. Various applications will benefit from this research: image processing, optical character recognition, speech recognition, handwriting recognition. We want to open new perspectives on the conception, design and possible implementation of this type of high performance computing system.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- engineering and technology electrical engineering, electronic engineering, information engineering electrical engineering
- natural sciences biological sciences neurobiology computational neuroscience
- natural sciences mathematics
- natural sciences computer and information sciences data science data processing
- natural sciences computer and information sciences artificial intelligence computational intelligence
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Programme(s)
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Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
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Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
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Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Funding Scheme
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Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
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Coordinator
16145 GENOVA
Italy
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.