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Dive into the research topics where Jeremy Fesi is active.

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Featured researches published by Jeremy Fesi.


Developmental Medicine & Child Neurology | 2012

Defective motion processing in children with cerebral visual impairment due to periventricular white matter damage

Joel M. Weinstein; Rick O. Gilmore; Sumera M Shaikh; Allen R. Kunselman; William V Trescher; Lauren M Tashima; Marianne E. Boltz; Matthew B Mcauliffe; Albert Y. Cheung; Jeremy Fesi

Aim  We sought to characterize visual motion processing in children with cerebral visual impairment (CVI) due to periventricular white matter damage caused by either hydrocephalus (eight individuals) or periventricular leukomalacia (PVL) associated with prematurity (11 individuals).


PLOS ONE | 2016

Children's Brain Responses to Optic Flow Vary by Pattern Type and Motion Speed

Rick O. Gilmore; Amanda Thomas; Jeremy Fesi

Structured patterns of global visual motion called optic flow provide crucial information about an observers speed and direction of self-motion and about the geometry of the environment. Brain and behavioral responses to optic flow undergo considerable postnatal maturation, but relatively little brain imaging evidence describes the time course of development in motion processing systems in early to middle childhood, a time when psychophysical data suggest that there are changes in sensitivity. To fill this gap, electroencephalographic (EEG) responses were recorded in 4- to 8-year-old children who viewed three time-varying optic flow patterns (translation, rotation, and radial expansion/contraction) at three different speeds (2, 4, and 8 deg/s). Modulations of global motion coherence evoked coherent EEG responses at the first harmonic that differed by flow pattern and responses at the third harmonic and dot update rate that varied by speed. Pattern-related responses clustered over right lateral channels while speed-related responses clustered over midline channels. Both children and adults show widespread responses to modulations of motion coherence at the second harmonic that are not selective for pattern or speed. The results suggest that the developing brain segregates the processing of optic flow pattern from speed and that an adult-like pattern of neural responses to optic flow has begun to emerge by early to middle childhood.


Vision Research | 2011

Distinct cortical responses to 2D figures defined by motion contrast.

Jeremy Fesi; Michael Yannes; Danielle D. Brinckman; Anthony M. Norcia; Justin Ales; Rick O. Gilmore

Motion contrast contributes to the segregation of a two-dimensional figure from its background, yet many questions remain about its neural mechanisms. We measured steady-state visual evoked potential (SSVEP) responses to moving dot displays in which figure regions emerged from and disappeared into the background at a specific temporal frequency (1.2Hz, F1), based on regional differences of dot direction and global direction coherence. The goal was to measure the cortical response function across a range of motion contrast magnitudes. In two experiments using both a low channel count electrode array (Experiment 1) and a high density array (Experiment 2), we observed two distinct phase-locked evoked responses that were similar across motion contrast type. A response at 1.2Hz (1F1) increased in amplitude with increasing magnitudes of direction or coherence contrast. A response at 2.4Hz (2F1) increased in amplitude, but saturated at low levels of direction or coherence contrast. The two components showed different scalp distributions - the 1F1 was strongest along medial occipital channels, while the 2F1 was bilaterally distributed. Taken together, the studies suggest that figures defined by different types of motion contrast are processed by cortical systems with similar dynamics, and that there are separable neural systems devoted to (i) signaling the absolute magnitude of motion contrast and (ii) detecting when a figure defined by motion contrast appears and disappears from view.


Human Brain Mapping | 2015

Individual peak gamma frequency predicts switch rate in perceptual rivalry.

Jeremy Fesi; Janine D. Mendola

Perceptual rivalry—the experience of alternation between two mutually exclusive interpretations of an ambiguous image—provides powerful opportunities to study conscious awareness. It is known that individual subjects experience perceptual alternations for various types of bistable stimuli at distinct rates, and this a stable, heritable trait. Also stable and heritable is the peak frequency of induced gamma‐band (30–100 Hz) oscillation of a population‐level response in occipital cortex to simple visual patterns, which has been established as a neural correlate of conscious processing. Interestingly, models for rivalry alternation rate and for the frequency of population‐level oscillation have both cited inhibitory connections in cortex as crucial determinants of individual differences, and yet the relationship between these two variables has not yet been investigated. Here, we used magnetoencephalography to compare differences in alternation rate for binocular and monocular types of perceptual rivalry to differences in evoked and induced gamma‐band frequency of neuromagnetic brain responses to simple nonrivalrous grating stimuli. For both types of bistable images, alternation rate was inversely correlated with the peak frequency of late evoked gamma activity in primary visual cortex (200–400 ms latency). Our results advance models of inhibition that account for subtle variation in normal visual cortex, and shed light on how small differences in anatomy and physiology relate to individual cognition and performance. Hum Brain Mapp 36:566–576, 2015.


Visual Neuroscience | 2013

Linking brain to behavior for the visual perception of figures and objects.

Jeremy Fesi; Janine D. Mendola

The dissociation of a figure from its background is an essential feat of visual perception, as it allows us to detect, recognize, and interact with shapes and objects in our environment. In order to understand how the human brain gives rise to the perception of figures, we here review experiments that explore the links between activity in visual cortex and performance of perceptual tasks related to figure perception. We organize our review according to a proposed model that attempts to contextualize figure processing within the more general framework of object processing in the brain. Overall, the current literature provides us with individual linking hypotheses as to cortical regions that are necessary for particular tasks related to figure perception. Attempts to reach a more complete understanding of how the brain instantiates figure and object perception, however, will have to consider the temporal interaction between the many regions involved, the details of which may vary widely across different tasks.


Developmental Medicine & Child Neurology | 2012

Defective motion processing in children with cerebral visual impairment due to periventricular white matter damage: Pain Behaviour and Developmental Level

Joel M. Weinstein; Rick O. Gilmore; Sumera M Shaikh; Allen R. Kunselman; William V Trescher; Lauren M Tashima; Marianne E. Boltz; Matthew B Mcauliffe; Albert Y. Cheung; Jeremy Fesi

Aim  We sought to characterize visual motion processing in children with cerebral visual impairment (CVI) due to periventricular white matter damage caused by either hydrocephalus (eight individuals) or periventricular leukomalacia (PVL) associated with prematurity (11 individuals).


Journal of Vision | 2015

Comparison of stimulus rivalry to binocular rivalry with functional magnetic resonance imaging

Athena Buckthought; Jeremy Fesi; Lisa Kirsch; Janine D. Mendola

When incompatible images are presented to each eye, a phenomenon known as binocular rivalry occurs in which the viewers conscious visual perception alternates between the two images. In stimulus rivalry, similar perceptual alternations between rival images can occur even in the midst of fast image swapping between the eyes. Here, we used functional magnetic resonance imaging to directly compare brain activity underlying the two types of perceptual rivalry. Overall, we found that activity for binocular rivalry was always stronger and more widespread than that for stimulus rivalry-even more so during passive viewing conditions. In particular, the right superior parietal cortex and the right temporoparietal junction were prominently engaged for passive binocular rivalry. While both types of rivalry engaged higher tier visual regions such as the ventral temporal cortex during an active task, activity for stimulus rivalry was comparatively weak in early visual areas V1 to V3, presumably due to a weaker feed-forward signal due to both intraocular and interocular inhibition that may reduce effective contrast. In sum, only binocular rivalry produced perceptually vivid alternations, increased activation of the early visual cortex, and the coordinated engagement of dorsal stream regions, even when a task was not performed. These findings help characterize how stimulus rivalry fits within hierarchical models of binocular rivalry.


Cognitive Neuroscience | 2013

Long range grouping mechanisms for object perception

Janine D. Mendola; Jeremy Fesi

Abstract The case made by Kogo and Wagemans for border ownership of surface boundaries to explain modal completion of illusory contours is well argued, and is compatible with psychophysical and physiological research on configural interactions with stereoscopic depth processing. However, it is important to contextualize such a mechanism of surface interpolation with related object grouping mechanisms in visual cortex, such as those not necessarily related to depth. Additionally, its worth considering how the BOWN model can be generalized beyond Kanizsa shapes to more complex volumetric surface interpolations.


Cortex | 2017

Transcranial magnetic stimulation to visual cortex induces suboptimal introspection

Megan A.K. Peters; Jeremy Fesi; Namema Amendi; Jeffrey D. Knotts; Hakwan Lau; Tony Ro


Journal of Vision | 2014

Peak frequency of induced gamma-band response to simple stimulus predicts individual switch rate for perceptual rivalry tasks.

Jeremy Fesi; Janine D. Mendola

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Rick O. Gilmore

Pennsylvania State University

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Amanda Thomas

Pennsylvania State University

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Albert Y. Cheung

Pennsylvania State University

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Joel M. Weinstein

University of Wisconsin-Madison

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Sumera M Shaikh

Pennsylvania State University

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Allen R. Kunselman

Penn State Milton S. Hershey Medical Center

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Kenneth Hwang

Pennsylvania State University

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Lauren M Tashima

Pennsylvania State University

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Marianne E. Boltz

Penn State Milton S. Hershey Medical Center

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