Emergence of Emotion Selectivity in Deep Neural Networks Trained to Recognize Visual Objects is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2023). On theSindex it has a DataRank of 0.104. It has been cited 1 time.
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Base Score Contribution
0.104
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
Learn more about DataRank methodology →National Science Foundation
Grant: 2318984
NCS-FO: Brain-Informed Goal-Oriented and Bidirectional Deep Emotion Inference
National Institutes of Health
Grant: 5R01MH112558-02
Emotional Engagement Driven by Complex Visual Stimuli: Neural Dynamics Revealed by Multimodal Imaging
National Institutes of Health
Grant: 5R01MH125615-05
Acquisition, extinction, and recall of attention biases to threat: Computational modeling and multimodal brain imaging
National Science Foundation
Grant: 1908299
III: Small: Modeling Multi-Level Connectivity of Brain Dynamics
NIMH NIH HHS
Grant: R01 MH112558
NIMH NIH HHS
Grant: R01 MH125615
Fields of Study
Keywords
Sustainable Development Goals