[HTML][HTML] Unsupervised learning of mid-level visual representations
Recently, a confluence between trends in neuroscience and machine learning has brought
a renewed focus on unsupervised learning, where sensory processing systems learn to …
a renewed focus on unsupervised learning, where sensory processing systems learn to …
[HTML][HTML] Efficient processing of natural scenes in visual cortex
T Tesileanu, E Piasini… - Frontiers in Cellular …, 2022 - frontiersin.org
Neural circuits in the periphery of the visual, auditory, and olfactory systems are believed to
use limited resources efficiently to represent sensory information by adapting to the …
use limited resources efficiently to represent sensory information by adapting to the …
[HTML][HTML] Efficient coding of natural images in the mouse visual cortex
How the activity of neurons gives rise to natural vision remains a matter of intense
investigation. The mid-level visual areas along the ventral stream are selective to a common …
investigation. The mid-level visual areas along the ventral stream are selective to a common …
Motion Selectivity of the Local Filed Potentials in the Primary Visual Cortex of Rats: A Machine Learning Approach
A Pourhedayat, M Aghababaeipour Dehkordi… - Cognitive …, 2024 - Springer
Using rodents as a model of physiological vision studies requires adequate information
about their visual cortex. Although the primary visual cortex of rats has different sub-regions …
about their visual cortex. Although the primary visual cortex of rats has different sub-regions …
Unraveling the complexity of rat object vision requires a full convolutional network-and beyond
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 …
unclear whether rodents are capable of truly advanced processing of visual information …