Area:
systems neuroscience, neurosurgery
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High-probability grants
According to our matching algorithm, Wael F. Asaad is the likely recipient of the following grants.
Years |
Recipients |
Code |
Title / Keywords |
Matching score |
2013 — 2017 |
Asaad, Wael |
P20Activity Code Description: To support planning for new programs, expansion or modification of existing resources, and feasibility studies to explore various approaches to the development of interdisciplinary programs that offer potential solutions to problems of special significance to the mission of the NIH. These exploratory studies may lead to specialized or comprehensive centers. |
Cortical-Subcortical Interactions in Attention and Learning
PROJECT SUMMARY (See instructions): This project will investigate the systems-level mechanisms of reinforcement learning as applied towards attention and visual-motor associative learning. We will use cross-areal neuronal recordings as well as combined cortical and subcortical stimulation in awake, behaving macaques to study prefrontal-striatal interactions during learning, and to drive attention and learning. We will record simultaneously in the lateral prefrontal cortex and striatum while animals perform an online learning task, to characterize learning-related changes in their correlated activity. We predict that learning will modify the magnitude or nature of these interactions. Furthermore, we will attempt to drive visual-spatial attention and visual-motor associative learning through the application of microstimulation to the frontal eye fields and to the dopamine-neuron containing regions of the midbrain. We predict that such combined stimulation will synergistically potentiate neural responses in the striatum, and will produce learned (programmed) biases in attention and visualmotor behavior
|
0.915 |
2018 — 2021 |
Asaad, Wael |
R01Activity Code Description: To support a discrete, specified, circumscribed project to be performed by the named investigator(s) in an area representing his or her specific interest and competencies. |
Neuronal Mechanisms of Credit Assignment in the Prefrontal Cortex
Credit assignment is a critical component of learning in environments where the outcomes of particular choices may be delayed, and where the cause for any particular outcome may be but one among many possibilities. Properly assigning credit for speci?c outcomes underlies our ability to determine causality and make sense of our environment. However, the manner in which we connect causes to effects is not well understood. We believe the lack of knowledge about credit assignment and uncertainties in existing data arise from three main factors: 1) the absence of clear criteria neuronal activity must ful?ll to solve the credit assignment problem; 2) the paucity of single neuron neurophysiology, obtained during appropriate cognitive tasks, to reveal the low- level representations involved in credit assignment; and 3) the lack of direct comparisons across neuronal populations to determine the relative contributions of the lateral, orbital and medial PFC (?PFC, ?PFC and ?PFC) to this cognitive function. Based on previous work and our own data, we hypothesize the ?PFC is the PFC region whose activity is most consistent with credit assignment. Speci?cally, we expect neuronal activity ful?lling the requirements for credit assignment to be most prominent in the ?PFC, whereas activity in other PFC areas (?PFC and ?PFC) will fail to conform to those requirements, or do so in a delayed fashion relative to the ?PFC. Further, we predict credit assignment related activity in the ?PFC will be most predictive of learning behavior. We will record neurons in the PFC of nonhuman primates performing relevant cognitive tasks while applying a multi-level approach to elucidate the the circuit mechanisms of credit assignment. We will analyze individual neurons, population codes and dynamic inter-areal communication to understand these critical representations and their relationship to behavior. A better understanding of how the PFC contributes to this critical cognitive function will enable a more mechanistic assessment of frontal lobe impairments observed in frontal dementia, traumatic brain injury, stroke and other neurological diseases, as well as facilitate more principled therapies for these debilitating conditions.
|
0.915 |