[HTML][HTML] Using artificial neural networks to ask 'why'questions of minds and brains
Neuroscientists have long characterized the properties and functions of the nervous system,
and are increasingly succeeding in answering how brains perform the tasks they do. But the …
and are increasingly succeeding in answering how brains perform the tasks they do. But the …
Understanding human object vision: a picture is worth a thousand representations
Objects are the core meaningful elements in our visual environment. Classic theories of
object vision focus upon object recognition and are elegant and simple. Some of their …
object vision focus upon object recognition and are elegant and simple. Some of their …
Cortical topographic motifs emerge in a self-organized map of object space
The human ventral visual stream has a highly systematic organization of object information,
but the causal pressures driving these topographic motifs are highly debated. Here, we use …
but the causal pressures driving these topographic motifs are highly debated. Here, we use …
Topographic vaes learn equivariant capsules
In this work we seek to bridge the concepts of topographic organization and equivariance in
neural networks. To accomplish this, we introduce the Topographic VAE: a novel method for …
neural networks. To accomplish this, we introduce the Topographic VAE: a novel method for …
Traveling waves encode the recent past and enhance sequence learning
Traveling waves of neural activity have been observed throughout the brain at a diversity of
regions and scales; however, their precise computational role is still debated. One physically …
regions and scales; however, their precise computational role is still debated. One physically …
Neural wave machines: learning spatiotemporally structured representations with locally coupled oscillatory recurrent neural networks
Traveling waves have been measured at a diversity of regions and scales in the brain,
however a consensus as to their computational purpose has yet to be reached. An intriguing …
however a consensus as to their computational purpose has yet to be reached. An intriguing …
[HTML][HTML] A unifying principle for the functional organization of visual cortex
A key feature of many cortical systems is functional organization: the arrangement of
neurons with specific functional properties in characteristic spatial patterns across the …
neurons with specific functional properties in characteristic spatial patterns across the …
Poisson Variational Autoencoder
Variational autoencoders (VAE) employ Bayesian inference to interpret sensory inputs,
mirroring processes that occur in primate vision across both ventral (Higgins et al., 2021) …
mirroring processes that occur in primate vision across both ventral (Higgins et al., 2021) …
A unifying framework for functional organization in early and higher ventral visual cortex
A key feature of cortical systems is functional organization: the arrangement of functionally
distinct neurons in characteristic spatial patterns. However, the principles underlying the …
distinct neurons in characteristic spatial patterns. However, the principles underlying the …
Visual object topographic motifs emerge from self-organization of a unified representational space
The object-responsive cortex of the visual system has a highly systematic topography, with a
macro-scale organization related to animacy and the real-world size of objects, and …
macro-scale organization related to animacy and the real-world size of objects, and …