Objective
We propose to study how information about objects and events in the environment can be reconstructed from collections of signals each arising from a small portion of space and/or time. The brain is continually faced with this task: eg, each retinal photoreceptor responds to light from a small bit of space compared with the size of real-world objects. In the time domain, early sensory neurons (visual, auditory and tactile) signal only instantaneous external stimuli, leaving the brain with the task of reconstructing events that extend over time (eg, speech). Neural computation of global constructs from local signals is therefore fundamental and ubiquitous, yet our understanding of it is still rudimentary. We will use neural modeling to study the topic. We have two specific goals, addressing two tasks which we have previously characterized experimentally, behaviorally and with brain imaging. (i) Recover the global motion of objects from local motion signals. For example, a spinning wheel's global motion corresponds to a single quantity, its angular velocity; but each point on it generates a local motion signal of a different direction and speed. The task is further complicated since other nearby local motion signals may arise from independently moving objects. The modeling will implement and test our theory that global motion computation is achieved by continual neural computation between two modules, one specializing in integration and the other in segmentation. (ii) Build models of neural networks with a hierarchical organization of Temporal Receptive Windows (TRWs). Defining a neuron's TRW as the length of time prior to a response during which sensory information can affect that response, we have recently shown that the brain is organized with a hierarchy of TRWs, ranging from 3 sec in sensory areas to 40 sec in higher cortical areas. The models will be used for studying basic properties of such networks and for starting to apply them to real-world tasks.
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 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.
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.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
FP7-PEOPLE-2012-CIG
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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.
MC-CIG - Support for training and career development of researcher (CIG)
Coordinator
08002 Barcelona
Spain
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.