[HTML][HTML] Many but not all deep neural network audio models capture brain responses and exhibit correspondence between model stages and brain regions
Models that predict brain responses to stimuli provide one measure of understanding of a
sensory system and have many potential applications in science and engineering. Deep …
sensory system and have many potential applications in science and engineering. Deep …
Energy guided diffusion for generating neurally exciting images
In recent years, most exciting inputs (MEIs) synthesized from encoding models of neuronal
activity have become an established method for studying tuning properties of biological and …
activity have become an established method for studying tuning properties of biological and …
[HTML][HTML] Self-attention in vision transformers performs perceptual grouping, not attention
P Mehrani, JK Tsotsos - Frontiers in Computer Science, 2023 - frontiersin.org
Recently, a considerable number of studies in computer vision involve deep neural
architectures called vision transformers. Visual processing in these models incorporates …
architectures called vision transformers. Visual processing in these models incorporates …
A spectral theory of neural prediction and alignment
The representations of neural networks are often compared to those of biological systems by
performing regression between the neural network responses and those measured from …
performing regression between the neural network responses and those measured from …
Deep learning-driven characterization of single cell tuning in primate visual area V4 unveils topological organization
Deciphering the brain's structure-function relationship is key to understanding the neuronal
mechanisms underlying perception and cognition. The cortical column, a vertical …
mechanisms underlying perception and cognition. The cortical column, a vertical …
[HTML][HTML] Large-scale calcium imaging reveals a systematic V4 map for encoding natural scenes
T Wang, TS Lee, H Yao, J Hong, Y Li, H Jiang… - Nature …, 2024 - nature.com
Biological visual systems have evolved to process natural scenes. A full understanding of
visual cortical functions requires a comprehensive characterization of how neuronal …
visual cortical functions requires a comprehensive characterization of how neuronal …
Strong and precise modulation of human percepts via robustified ANNs
The visual object category reports of artificial neural networks (ANNs) are notoriously
sensitive to tiny, adversarial image perturbations. Because human category reports (aka …
sensitive to tiny, adversarial image perturbations. Because human category reports (aka …
Exploring perceptual straightness in learned visual representations
Humans have been shown to use a''straightened''encoding to represent the natural visual
world as it evolves in time (Henaff et al. 2019). In the context of discrete video sequences,'' …
world as it evolves in time (Henaff et al. 2019). In the context of discrete video sequences,'' …
Exploring the perceptual straightness of adversarially robust and biologically-inspired visual representations
Humans have been shown to use a''straightened''encoding to represent the natural visual
world as it evolves in time (H\'enaff et al.~ 2019). In the context of discrete video sequences,'' …
world as it evolves in time (H\'enaff et al.~ 2019). In the context of discrete video sequences,'' …
Layerwise complexity-matched learning yields an improved model of cortical area V2
Human ability to recognize complex visual patterns arises through transformations
performed by successive areas in the ventral visual cortex. Deep neural networks trained …
performed by successive areas in the ventral visual cortex. Deep neural networks trained …