Project description
Mapping the brain regions' implication in object recognition
Object recognition is a remarkable ability of our brain, helping us interact with the world. However, the mechanism by which our brain creates neural representations of the objects we see remains elusive. To address this lack of knowledge, the EU-funded Neuroception project will study neural information processing in the brain during object recognition. Scientists will identify the neuronal populations responsible for the representation of visual stimuli as well as the brain areas implicated in object recognition. The project's results will provide important knowledge on natural vision and advance the technology behind assistive devices for blind people.
Objective
Object recognition is essential to our interaction with the external world. Our brain is able to effortlessly identify objects even under the highly dynamic conditions of natural vision. This is a remarkable achievement of our visual system. Nevertheless, how the brain creates invariant object representations in the perceptual/visual domain remains elusive. In this project, I will combine novel large-scale electrophysiological recordings and advanced behavioral methods to investigate the neural information processing in higher cortical areas during object recognition. Firstly, I will investigate how cortical representations of visual stimuli progressively evolve across the cortical hierarchy to incorporate semantic information. For this, I will use simultaneous large-scale recordings with Neuropixels probes in mice engaged in a visual discrimination task. Secondly, I will characterize the selectivity of the neuronal populations in each cortical area. Here, I will take a deep-learning approach to model the neural responses of single cells to optimal stimuli. Finally, sophisticated statistical modelling and analysis techniques will be used to resolve how dynamic inter-areal interactions shape the neural representations of visual stimuli. Collectively, these objectives are an unprecedented attempt to disentangle the roles of different higher cortical areas in object recognition. This is fundamental towards enhancing our understanding of how the brain solves perceptual inference. Moreover the multidisciplinary nature of this project will provide a holistic understanding of natural vision during ethologically relevant behaviors. My findings will also motivate new artificial vision algorithms with improved object recognition capabilities under highly dynamic visual conditions. Particularly, the use in assistive devices for blind people will have major social impacts by improving their mobility, quality of life and reducing their dependency on the society.
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 cognitive neuroscience
- natural sciences computer and information sciences data science data processing
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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.
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H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
MAIN PROGRAMME
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H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility
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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)
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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-2020
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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.
700 13 IRAKLEIO
Greece
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.