Objective
Biological neuronal networks allow humans and animals to build representations of objects, complex scenes, and temporal sequences and to use these representations to plan and execute goal-directed actions, learn new skills, and constantly adapt to changing situations. Neuronal systems have evolved to be extremely powerful in perceiving and acting in complex and dynamic real-world environments. The field of neuromorphic engineering is realising neuronal computation in a new generation of hardware systems, aiming to enable computation with high efficiency and low energy cost, comparable to biological neuronal networks. In order to use this hardware to implement systems that can solve perceptual, motor, and cognitive tasks, cognitive architectures have to be developed, which integrate elementary cognitive processes in a coherent computational framework. The ECogNeT project aims to develop such a computational framework by realising neural-dynamic models of embodied cognition in neuromorphic hardware. In particular, the computational and conceptual framework of Dynamic Neural Fields will be used to create cognitive computational primitives in neuromorphic hardware, which will organise the hardware neurons in attractor-networks, capable to generate discrete, cognitive representations from sensory inputs. The developed neuromorphic cognitive architecture will be integrated with sensors and motors of a robotic agent and its capability to represent environmental situations and temporal sequences of events will be validated in benchmark scenarios, exploiting the potential of this new technology in development of novel, low-power, fast, and smart devices capable to work in real-world settings in order to advance future prosthetic systems, smart environments, and assistive robots.
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
- natural sciences computer and information sciences software
- natural sciences computer and information sciences internet
- natural sciences chemical sciences inorganic chemistry metalloids
- natural sciences computer and information sciences artificial intelligence computational intelligence
You need to log in or register to use this function
We are sorry... an unexpected error occurred during execution.
You need to be authenticated. Your session might have expired.
Thank you for your feedback. You will soon receive an email to confirm the submission. If you have selected to be notified about the reporting status, you will also be contacted when the reporting status will change.
Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
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.
-
H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
MAIN PROGRAMME
See all projects funded under this programme -
H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility
See all projects funded under this programme
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.
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.
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.
MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)
See all projects funded under this funding scheme
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-MSCA-IF-2015
See all projects funded under this callCoordinator
Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
8006 Zurich
Switzerland
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.