Visual object recognition has been extensively studied in both neuroscience and computer vision. Recently, the most popular class of artificial systems for this task, deep convolutional …
The rodent visual system has attracted great interest in recent years due to its experimental tractability, but the fundamental mechanisms used by the mouse to represent the visual …
Abstract Models of object recognition have mostly focused upon the hierarchical processing of objects from local edges up to more complex shape features. An alternative strategy that …
Many species are able to recognize objects, but it has been proven difficult to pinpoint and compare how different species solve this task. Recent research suggested to combine …
Visual working memory depends on both material-specific brain areas in ventral visual stream (VVS) that support the maintenance of stimulus representations and on regions in …
In the real world, visual stimuli received by the biological visual system are predominantly dynamic rather than static. A better understanding of how the visual cortex represents movie …
Despite their prominence as model systems to dissect visual cortical circuitry, it remains unclear whether rodents are capable of truly advanced processing of visual information …
Among the smallest simian primates, the common marmoset offers promise as an experimentally tractable primate model for neuroscience with translational potential to …
DP Estefan - Intracranial EEG: A Guide for Cognitive Neuroscientists, 2023 - Springer
Studies harnessing the heuristic potential of Deep Neural Networks (DNNs) and the high spatiotemporal resolution of intracranial EEG (iEEG) data are providing fine-grained details …