Neural mechanisms of learning relevance in multidimensional environments
Ended Project Grant Awarded Last action
- Award ID
- R01MH123687
- Recipient
-
Vanderbilt University UEI GTNBNWXJ12D5
- Awarding agency
-
National Institute of Mental Health
National Institutes of Health, Department of Health and Human Services
- Obligated
- $7,207,625
Award facts
- Assistance listing
- 93.242 Mental Health Research Grants
- Completion date
- Funding
-
- $6,450,740.71 Federal
- $756,884.00 Non-federal
- Place of performance
- Nashville, TN 37203, USA
Award details come from USAspending.gov.
Description
- Abstract
- This proposal investigates in the nonhuman primate how attentional load changes the behavioral and neural strategies for flexibly learning object relevance. High attentional load characterizes real-world learning scenarios with multiple, multidimensional objects. Evidence suggests that the neural mechanisms underlying learning during high attentional load fundamentally differs from neural mechanisms used to learn under low load. Our proposal elucidates how learning at increasing attentional load (1) changes the cognitive subcomponent processes used to succeed learning, (2) changes which brain areas are used to flexibly learn, and (3) recruits additional neural circuit mechanisms to realize fast adjustments. First, we will address the specific behavioral subcomponent processes used for learning the relevance of objects in environments with increasing number of visual feature dimensions reflecting increasing attentional load. Simple learning can be achieved efficiently with a hybrid mechanism that uses working memory (WM) of recently rewarded objects to guide future choices together with slower reinforcement learning (RL) for updating longer- term value expectations. When attentional load increases working memory breaks down, and efficient learners flexibly adjust their exploration rates and attentional prioritization to speed up reinforcement learning. Our proposal quantifies these changing learning strategies with multi-component WM-RL modeling. Second, while subjects learn with varying strategies which features to use for making a decision, we will test the causal role of three brain regions implicated to realize the respective learning mechanisms. We use transcranial focused ultrasound stimulation to induce transient, fully reversible lesions allowing to functionally disrupt confined neuronal ensembles. With this tool we elucidate the hypothesized contributions of ventrolateral prefrontal cortex to learning using fast working memory of rewarded objects, the contribution of the anterior cingulate cortex in adjusting exploration strategies and the contribution of the anterior striatum for attentional biasing of slower reinforcement learning of the highest reward-value object within a complex, multidimensional feature space. Third, our project elucidates how the local circuits in each of the three brain areas contribute to successful learning with varying strategies. We use massively parallel recordings of single neuron activity in ventrolateral prefrontal cortex, anterior cingulate cortex, and anterior striatum to extract those cell classes whose firing encodes the key learning variables. We expect that subclasses of interneurons maximally correlate their firing only during those periods when the area specific learning strategy is realized. This approach pinpoints the cell classes that maximally correlate with choice probabilities, prediction errors, working memory, and exploration rates when subjects adjust their learning strategies to successfully learn the relevance of objects with real-world complexity.
Transactions
| Action | Federal | Non-federal | Date |
|---|---|---|---|
| Amendment | -$35,903 | $0 | |
| Amendment | $558,309 | $0 | |
| Amendment | $64,636 | $0 | |
| Amendment | $64,636 | $0 | |
| Amendment | $581,723 | $0 | |
| Amendment | $581,723 | $0 | |
| Amendment | $581,723 | $0 | |
| Amendment | $595,085 | $0 | |
| Amendment | $595,085 | $0 | |
| Amendment | $595,085 | $0 | |
| Amendment | $62,906 | $0 | |
| Amendment | $62,906 | $0 | |
| Amendment | $62,906 | $0 | |
| Amendment | $566,153 | $0 | |
| Amendment | $73,543 | $0 | |
| Amendment | $73,543 | $73,543 | |
| Amendment | $683,341 | $0 | |
| Original award | $683,341 | $683,341 |
Show all 18
Subawards
| Subrecipient | Amount | Awarded |
|---|---|---|
| Stichting Radboud Universiteit | $18,705 | |
| Vanderbilt University Medical Center | $90,086 | |
| Stichting Radboud Universiteit | $23,759 | |
| Vanderbilt University Medical Center | $105,983 | |
| Vanderbilt University Medical Center | $119,257 | |
| Stichting Radboud Universiteit | $23,846 | |
| Stichting Radboud Universiteit | $45,577 | |
| Vanderbilt University Medical Center | -$85,500 | |
| Vanderbilt University Medical Center | $92,055 | |
| Vanderbilt University Medical Center | $182,400 |
Quick answers
Who received award R01MH123687?
R01MH123687 was awarded to Vanderbilt University by National Institute of Mental Health (National Institutes of Health) on April 1, 2021.
How much is award R01MH123687 worth?
$7,207,625 has been obligated on R01MH123687: $6,450,741 in federal funding and $756,884 in non-federal funding.
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