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Modulation of valence-based learning and behavior: a closed-loop approach in the primate amygdala

Project description

Studying the amygdala for insight into emotional learning

Learning and memory involve the integration of sensory experiences with emotional and motivational signals. These cognitive functions are crucial for adapting to changing environments, enabling us to make informed decisions and form long-lasting memories based on past experiences. The ERC-funded AMYGVALBCI project aims to uncover core principles of the amygdala, the part of the brain that plays a key role in learning and memory. The work will focus on emotional significance representation in amygdala circuits and how this guides behaviour. Researchers will explore brain-computer interfaces to clarify the amygdala's role in emotional learning, with results potentially leading to the development of interventions for mental health disorders.

Objective

The primate amygdala is a neural hub that processes computations for learning and memory, specifically when learning involves emotional, motivational, and reinforcement-based signals. This requires it to remain highly adaptive for changes in valence of environments and stimuli. Failures of such computations can lead to maladaptive behaviors and even psychopathologies such as PTSD and Anxiety. However, the core principles of amygdala function continue to elude the field. Recent studies suggest valence is processed in dedicated pathways, and we do not fully understand the mechanisms governing adaptive processing of valence and its reversal. Our overarching goal here is to elucidate the factors that underlie the dynamics of valence representation in amygdala circuits, and actively reverse valence to examine the impact on behavior. We develop a new framework using brain-computer-interface (BCI) and a closed-loop approach that allows us to guide changes in neural activity in the primate amygdala and modulatory networks. We test the hypothesis that coding properties of single amygdala neurons are dynamic, and examine how adaptive flexible coding is enabled by population activity. We unveil the parameters that govern this flexibility- timescales, directionality, population size, and its effective dimensionality. We then test how reversing representation of valence alters the animal response to learned stimuli, and use it to examine and manipulate aversive-biases in models of anxiety/trauma: generalization and exploration. Using high-density neural recordings in the primate amygdala, ACC, SI, with closed-loop behavioral paradigms and computational approaches, we will unveil a more direct (rather than correlative) role for the amygdala in the process of valence-based learning, and find the constraints that limit network adaptivity. Our findings in the primate brain will accelerate the design of closed-loop interventions to alleviate human psychopathologies.

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Keywords

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Programme(s)

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Topic(s)

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Funding Scheme

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HORIZON-ERC - HORIZON ERC Grants

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Call for proposal

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(opens in new window) ERC-2023-ADG

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Host institution

WEIZMANN INSTITUTE OF SCIENCE
Net EU contribution

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.

€ 2 250 000,00
Address
HERZL STREET 234
7610001 Rehovot
Israel

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Activity type
Higher or Secondary Education Establishments
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Total cost

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.

€ 2 250 000,00

Beneficiaries (1)

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