Sonia Poltoratski
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View article: Guiding Machine Perception with Psychophysics
Guiding Machine Perception with Psychophysics Open
{G}{ustav} Fechner's 1860 delineation of psychophysics, the measurement of sensation in relation to its stimulus, is widely considered to be the advent of modern psychological science. In psychophysics, a researcher parametrically varies s…
View article: Holistic face recognition is an emergent phenomenon of spatial integration in face-selective regions
Holistic face recognition is an emergent phenomenon of spatial integration in face-selective regions Open
Spatial processing by receptive fields is a core property of the visual system. However, it is unknown how spatial coding in high-level regions contributes to recognition behavior. As face inversion is thought to disrupt typical ‘holistic’…
View article: Differential spatial computations in ventral and lateral face-selective regions are scaffolded by structural connections
Differential spatial computations in ventral and lateral face-selective regions are scaffolded by structural connections Open
Face-processing occurs across ventral and lateral visual streams, which are involved in static and dynamic face perception, respectively. However, the nature of spatial computations across streams is unknown. Using functional MRI and novel…
View article: Validation and generalization of pixel-wise relevance in convolutional neural networks trained for face classification
Validation and generalization of pixel-wise relevance in convolutional neural networks trained for face classification Open
The increased use of convolutional neural networks for face recognition in science, governance, and broader society has created an acute need for methods that can show how these 'black box' decisions are made. To be interpretable and usefu…
View article: Validation and generalization of pixel-wise relevance in convolutional\n neural networks trained for face classification
Validation and generalization of pixel-wise relevance in convolutional\n neural networks trained for face classification Open
The increased use of convolutional neural networks for face recognition in\nscience, governance, and broader society has created an acute need for methods\nthat can show how these 'black box' decisions are made. To be interpretable and\nus…
View article: Resolving the Spatial Profile of Figure Enhancement in Human V1 through Population Receptive Field Modeling
Resolving the Spatial Profile of Figure Enhancement in Human V1 through Population Receptive Field Modeling Open
The detection and segmentation of meaningful figures from their background is one of the primary functions of vision. While work in nonhuman primates has implicated early visual mechanisms in this figure–ground modulation, neuroimaging in …
View article: Resolving the spatial profile of figure enhancement in human V1 through population receptive field modeling
Resolving the spatial profile of figure enhancement in human V1 through population receptive field modeling Open
The detection and segmentation of meaningful figures from their background is a core function of vision. While work in non-human primates has implicated early visual mechanisms in this figure-ground modulation, neuroimaging in humans has i…
View article: Population receptive field measurements of stimulus-driven effects in face-selective areas
Population receptive field measurements of stimulus-driven effects in face-selective areas Open
Classic theories suggest that high-level visual recognition is largely invariant to the item’s position and size, but this is challenged by consistent reports of spatial biases and position information in high-level visual regions. Recent …
View article: Cortical feedback mediates figure-ground modulation in the human lateral geniculate nucleus
Cortical feedback mediates figure-ground modulation in the human lateral geniculate nucleus Open
The lateral geniculate nucleus (LGN) is the earliest site of the visual hierarchy that receives top-down feedback, yet the functional role of this feedback is poorly understood. However, growing research suggests that the human LGN is invo…
View article: Distinct effects of boundary detection and figure enhancement in the early visual cortex
Distinct effects of boundary detection and figure enhancement in the early visual cortex Open
When an orientation difference defines a region as a distinct 'figure' from its surround, V1 responses to the region increase. Is this enhancement driven by a release from local feature-tuned suppression at the boundary between the target …
View article: Characterizing the effects of feature salience and top-down attention in the early visual system
Characterizing the effects of feature salience and top-down attention in the early visual system Open
The visual system employs a sophisticated balance of attentional mechanisms: salient stimuli are prioritized for visual processing, yet observers can also ignore such stimuli when their goals require directing attention elsewhere. A powerf…
View article: Orientation-Tuned Surround Suppression in the Human LGN
Orientation-Tuned Surround Suppression in the Human LGN Open
Surround suppression is a mechanism by which stimuli beyond a neuron's classical receptive field can modulate its response, and is critical for efficient natural vision. Studies have found suppression to be systematically dependent on the …
View article: Reduced spatial integration in the ventral visual cortex underlies face recognition deficits in developmental prosopagnosia
Reduced spatial integration in the ventral visual cortex underlies face recognition deficits in developmental prosopagnosia Open
Developmental prosopagnosia (DP) is characterized by deficits in face recognition without gross brain abnormalities. However, the neural basis of DP is not well understood. We measured population receptive fields (pRFs) in ventral visual c…