[PDF][PDF] A task-optimized neural network replicates human auditory behavior, predicts brain responses, and reveals a cortical processing hierarchy
A core goal of auditory neuroscience is to build quantitative models that predict cortical
responses to natural sounds. Reasoning that a complete model of auditory cortex must solve …
responses to natural sounds. Reasoning that a complete model of auditory cortex must solve …
Brain-like functional specialization emerges spontaneously in deep neural networks
The human brain contains multiple regions with distinct, often highly specialized functions,
from recognizing faces to understanding language to thinking about what others are thinking. …
from recognizing faces to understanding language to thinking about what others are thinking. …
Deep neural network models of sensory systems: windows onto the role of task constraints
AJE Kell, JH McDermott - Current opinion in neurobiology, 2019 - Elsevier
Highlights • Deep neural networks (DNNs) now reach human-level performance on some
perceptual tasks. • They show human-like error patterns and predict sensory cortical responses…
perceptual tasks. • They show human-like error patterns and predict sensory cortical responses…
Reduced language lateralization in autism and the broader autism phenotype as assessed with robust individual‐subjects analyses
One of the few replicated functional brain differences between individuals with autism
spectrum disorders (ASD) and neurotypical (NT) controls is reduced language lateralization. …
spectrum disorders (ASD) and neurotypical (NT) controls is reduced language lateralization. …
[HTML][HTML] Invariance to background noise as a signature of non-primary auditory cortex
AJE Kell, JH McDermott - Nature communications, 2019 - nature.com
Despite well-established anatomical differences between primary and non-primary auditory
cortex, the associated representational transformations have remained elusive. Here we …
cortex, the associated representational transformations have remained elusive. Here we …
Representational similarity precedes category selectivity in the developing ventral visual pathway
Many studies have investigated the development of face-, scene-, and body-selective regions
in the ventral visual pathway. This work has primarily focused on comparing the size and …
in the ventral visual pathway. This work has primarily focused on comparing the size and …
Measuring and modeling nonlinear interactions between brain regions with fMRI
In the study of connectivity in large-scale networks of brain regions, a standard assumption
is made that the statistical dependence between regions is univariate and linear. However, …
is made that the statistical dependence between regions is univariate and linear. However, …
Listening into 2030 workshop: An experiment in envisioning the future of hearing and communication science
Here we report the methods and output of a workshop examining possible futures of speech
and hearing science out to 2030. Using a design thinking approach, a range of human-…
and hearing science out to 2030. Using a design thinking approach, a range of human-…
Using task-optimized neural networks to understand why brains have specialized processing for faces
Category-selective regions are a prominent feature of the ventral visual pathway. Why is there
specialization for some categories (eg, faces, scenes), but not others (eg, food, cars)? And …
specialization for some categories (eg, faces, scenes), but not others (eg, food, cars)? And …
[PDF][PDF] Marmoset core visual object recognition behavior is comparable to that of macaques and humans
Among the smallest simian primates, the common marmoset offers promise as an
experimentally tractable primate model for neuroscience with translational potential to humans. …
experimentally tractable primate model for neuroscience with translational potential to humans. …