Our knowledge of sensory processing has advanced dramatically in the last few decades,
but this understanding remains far from complete, especially for stimuli with the large …

To date, neuroimaging research has had a limited focus on non-social features of autism. As
a result, neurobiological explanations for atypical sensory perception in autism are lacking …

Neuroscientists classify neurons into different types that perform similar computations at
different locations in the visual field. Traditional methods for neural system identification do …

Traditional models of retinal system identification analyze the neural response to artificial
stimuli using models consisting of predefined components. The model design is limited to …

A central goal in sensory neuroscience is to understand the neuronal signal processing
involved in the encoding of natural stimuli. A critical step towards this goal is the …

In this study, we evaluated the convolutional neural network (CNN) method for modeling V1
neurons of awake macaque monkeys in response to a large set of complex pattern stimuli …

A neuroprosthesis is a type of precision medical device that is intended to manipulate the
neuronal signals of the brain in a closed-loop fashion, while simultaneously receiving stimuli …

Spoken language comprehension requires abstraction of linguistic information from speech,
but the interaction between auditory and linguistic processing of speech remains poorly …

Deep convolutional neural networks (CNNs) have demonstrated impressive performance on
many visual tasks. Recently, they became useful models for the visual system in …

Highlights•Boundary or texture-based strategies alone cannot support visual object
recognition.•Neurons in area V4 jointly encode a shape boundary and the associated …