Using goal-driven deep learning models to understand sensory cortex
Fueled by innovation in the computer vision and artificial intelligence communities, recent
developments in computational neuroscience have used goal-driven hierarchical …
developments in computational neuroscience have used goal-driven hierarchical …
[HTML][HTML] The interactive account of ventral occipitotemporal contributions to reading
The ventral occipitotemporal cortex (vOT) is involved in the perception of visually presented
objects and written words. The Interactive Account of vOT function is based on the premise …
objects and written words. The Interactive Account of vOT function is based on the premise …
[HTML][HTML] How does the brain solve visual object recognition?
Mounting evidence suggests that 'core object recognition,'the ability to rapidly recognize
objects despite substantial appearance variation, is solved in the brain via a cascade of …
objects despite substantial appearance variation, is solved in the brain via a cascade of …
Comparison of deep neural networks to spatio-temporal cortical dynamics of human visual object recognition reveals hierarchical correspondence
The complex multi-stage architecture of cortical visual pathways provides the neural basis
for efficient visual object recognition in humans. However, the stage-wise computations …
for efficient visual object recognition in humans. However, the stage-wise computations …
Metamers of the ventral stream
The human capacity to recognize complex visual patterns emerges in a sequence of brain
areas known as the ventral stream, beginning with primary visual cortex (V1). We developed …
areas known as the ventral stream, beginning with primary visual cortex (V1). We developed …
Toward a unified theory of visual area V4
Visual area V4 is a midtier cortical area in the ventral visual pathway. It is crucial for visual
object recognition and has been a focus of many studies on visual attention. However, there …
object recognition and has been a focus of many studies on visual attention. However, there …
Image statistics underlying natural texture selectivity of neurons in macaque V4
Our daily visual experiences are inevitably linked to recognizing the rich variety of textures.
However, how the brain encodes and differentiates a plethora of natural textures remains …
However, how the brain encodes and differentiates a plethora of natural textures remains …
Hierarchical modular optimization of convolutional networks achieves representations similar to macaque IT and human ventral stream
Humans recognize visually-presented objects rapidly and accurately. To understand this
ability, we seek to construct models of the ventral stream, the series of cortical areas thought …
ability, we seek to construct models of the ventral stream, the series of cortical areas thought …
A model of V4 shape selectivity and invariance
Object recognition in primates is mediated by the ventral visual pathway and is classically
described as a feedforward hierarchy of increasingly sophisticated representations. Neurons …
described as a feedforward hierarchy of increasingly sophisticated representations. Neurons …
Brain areas involved in synaesthesia: a review
Despite a recent upsurge of research, much remains unknown about the neurobiological
mechanisms underlying synaesthesia. By integrating results obtained so far in Magnetic …
mechanisms underlying synaesthesia. By integrating results obtained so far in Magnetic …