Convolutional neural networks as a model of the visual system: Past, present, and future
GW Lindsay - Journal of cognitive neuroscience, 2021 - direct.mit.edu
Convolutional neural networks (CNNs) were inspired by early findings in the study of
biological vision. They have since become successful tools in computer vision and state-of …
biological vision. They have since become successful tools in computer vision and state-of …
Artificial neural networks for neuroscientists: a primer
Artificial neural networks (ANNs) are essential tools in machine learning that have drawn
increasing attention in neuroscience. Besides offering powerful techniques for data analysis …
increasing attention in neuroscience. Besides offering powerful techniques for data analysis …
Getting aligned on representational alignment
Biological and artificial information processing systems form representations that they can
use to categorize, reason, plan, navigate, and make decisions. How can we measure the …
use to categorize, reason, plan, navigate, and make decisions. How can we measure the …
The remarkable robustness of surrogate gradient learning for instilling complex function in spiking neural networks
Brains process information in spiking neural networks. Their intricate connections shape the
diverse functions these networks perform. Yet how network connectivity relates to function is …
diverse functions these networks perform. Yet how network connectivity relates to function is …
Superspike: Supervised learning in multilayer spiking neural networks
A vast majority of computation in the brain is performed by spiking neural networks. Despite
the ubiquity of such spiking, we currently lack an understanding of how biological spiking …
the ubiquity of such spiking, we currently lack an understanding of how biological spiking …
Understanding the retinal basis of vision across species
The vertebrate retina first evolved some 500 million years ago in ancestral marine
chordates. Since then, the eyes of different species have been tuned to best support their …
chordates. Since then, the eyes of different species have been tuned to best support their …
Towards the neural population doctrine
S Saxena, JP Cunningham - Current opinion in neurobiology, 2019 - Elsevier
Highlights•New generations of recording and computing technologies have enabled
neuroscience at the level of the neural population.•Landmark scientific findings suggest the …
neuroscience at the level of the neural population.•Landmark scientific findings suggest the …
Exponential expressivity in deep neural networks through transient chaos
We combine Riemannian geometry with the mean field theory of high dimensional chaos to
study the nature of signal propagation in deep neural networks with random weights. Our …
study the nature of signal propagation in deep neural networks with random weights. Our …
Adversarial examples that fool both computer vision and time-limited humans
Abstract Machine learning models are vulnerable to adversarial examples: small changes to
images can cause computer vision models to make mistakes such as identifying a school …
images can cause computer vision models to make mistakes such as identifying a school …
Deep convolutional models improve predictions of macaque V1 responses to natural images
Despite great efforts over several decades, our best models of primary visual cortex (V1) still
predict spiking activity quite poorly when probed with natural stimuli, highlighting our limited …
predict spiking activity quite poorly when probed with natural stimuli, highlighting our limited …