Objective
The combination of experimental neurophysiology with computational studies contributes to the understanding of how brains compute and to the development of neural net technology. Unsupervised receptive field learning can be effectively combined with supervised associative learning, and the way in which synchronization as a signal for grouping is best combined with the processes embodying the criteria specifying what should be grouped.
The goal of this project is to help us understand how the brain works, i.e. how perception, memory, and thought arise from neural activity. We will develop models of neural networks based closely on what is known of the brain, and explore their computational abilities. This is an area of basic science with enormous practical significance. It will guide the design of new massively parallel computers with abilities that are very hard to achieve in conventional computers. It will provide a better understanding of the function of neural structures and processes, and this will in turn will be better understood when analyzed into the elementary steps that neural networks can perform. Progress is currently very rapid in this field, and the USA and Japan are investing strongly in it. Interdisciplinary cooperation is essential. Twinning of the Stirling and Frankfurt laboratories will create an exceptional combination of expertise in computer science, neurobiology, and psychology. It will enable work on projects of fundamental significance that are not possible in either laboratory alone.
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.
- natural sciences biological sciences neurobiology
- social sciences psychology
- natural sciences computer and information sciences artificial intelligence computational intelligence
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
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.
Data not available
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
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Data not available
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Funding Scheme
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.
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.
Coordinator
FK9 4LA STIRLING
United Kingdom
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.