Human-like behavior and neural representations emerge in a neural network trained to overtly search for objects in natural scenes from pixels
Motahareh Pourrahimi, Irina Rish, Pouya Bashivan · COSYNE 2025
Like many other animals, humans direct their gaze to selectively sample the visual space based on task demands. Visual search, the process of locating an item among several visually presented objects, is a key paradigm in studying visual attention. While much is known about the brain networks underlying visual search, our understanding of the neural computations driving this behavior is limited. Simulating this behavior in-silico can provide a tool for developing and testing hypotheses about these neural computations. To address this gap, we trained an image-computable artificial neural networ
ePoster · Neuroscience