Privileged representational axes in biological and artificial neural networks
How do neurons code information? Recent work emphasizes properties of population
codes, such as their geometry and decodable information, using measures that are blind to …
codes, such as their geometry and decodable information, using measures that are blind to …
Teaching CORnet Human fMRI Representations for Enhanced Model-Brain Alignment
Deep convolutional neural networks (DCNNs) have demonstrated excellent performance in
object recognition and have been found to share some similarities with brain visual …
object recognition and have been found to share some similarities with brain visual …
[HTML][HTML] Achieving more human brain-like vision via human EEG representational alignment
Despite advancements in artificial intelligence, object recognition models still lag behind in
emulating visual information processing in human brains. Recent studies have highlighted …
emulating visual information processing in human brains. Recent studies have highlighted …