A5068330439- Transcranial Magnetic Stimulation Studies
- Visual perception and processing mechanisms
- Neural dynamics and brain function
- Face Recognition and Perception
- Cognitive and developmental aspects of mathematical skills
- Stroke Rehabilitation and Recovery
- Spinal Cord Injury Research
- Language, Metaphor, and Cognition
- Reading and Literacy Development
- Muscle activation and electromyography studies
- Tactile and Sensory Interactions
- Nerve Injury and Rehabilitation
- Neurobiology and Insect Physiology Research
- Intraoperative Neuromonitoring and Anesthetic Effects
- Image Retrieval and Classification Techniques
- Child and Animal Learning Development
- Vestibular and auditory disorders
- Neurological Disorders and Treatments
- Impulse Buying and Technology Impacts
- Color perception and design
- Mathematics Education and Pedagogy
- Memory and Neural Mechanisms
- Handwritten Text Recognition Techniques
- Visual and Cognitive Learning Processes
- Functional Brain Connectivity Studies
Harvard University Press
2018-2023
Harvard University
2019-2022
National Institute of Mental Health
2018-2021
National Institutes of Health
2019-2021
University of Pittsburgh
2021
William James College
2019-2021
Center for Pain and the Brain
2019
Cleveland Clinic
2015-2017
Cleveland Clinic Lerner College of Medicine
2014-2016
To demonstrate, in a proof-of-concept study, whether potentiating ipsilesional higher motor areas (premotor cortex and supplementary area) augments accelerates recovery associated with constraint induced movement.In randomized, double-blinded pilot clinical 12 patients chronic stroke were assigned to receive anodal transcranial direct current stimulation (tDCS) (n = 6) or sham the during constraint-induced movement therapy. We assessed functional neurophysiologic outcomes before after 5...
Responses to visually presented objects along the cortical surface of human brain have a large-scale organization reflecting broad categorical divisions animacy and object size. Emerging evidence indicates that this topographical is supported by differences between in mid-level perceptual features. With regard timing neural responses, images quickly evoke responses with decodable information about size, but are features sufficient these rapid responses? Or slower iterative processing...
Our goal was to determine if pairing transcranial direct current stimulation (tDCS) with rehabilitation for two weeks could augment adaptive plasticity offered by these residual pathways elicit longer-lasting improvements in motor function incomplete spinal cord injury (iSCI).Longitudinal, randomized, controlled, double-blinded cohort study.Cleveland Clinic Foundation, Cleveland, Ohio, USA.Eight male subjects chronic tetraplegia.Massed practice (MP) training or without tDCS 2 hrs, 5 times a...
Aging-related weakness is due in part to degeneration within the central nervous system. However, it unknown how changes representation of corticospinal output primary motor cortex (M1) relate such weakness. Transcranial magnetic stimulation (TMS) a noninvasive method cortical that can map devoted muscle. Using TMS, we examined age-related alterations maps biceps brachii muscle determine whether they predicted its age-induced Forty-seven right-handed subjects participated: 20 young...
After years of experience, humans become experts at perceiving letters. Is this visual capacity attained by learning specialized letter features, or reusing general features previously learned in service object categorization? To explore question, we first measured the perceptual similarity letters two behavioral tasks, search and categorization. Then, trained deep convolutional neural networks on either 26-way categorization 1000-way categorization, as a way to operationalize possible...
Responses to visually-presented objects along the cortical surface of human brain have a large-scale organization reflecting broad categorical divisions animacy and object size. Mounting evidence indicates that this topographical is driven by differences between in mid-level perceptual features. With regard timing neural responses, images quickly evoke responses with decodable information about size, but are features sufficient these rapid responses? Or slower iterative processing required...
Abstract The human brain can rapidly form representations of numerical magnitude, whether presented with symbolic stimuli like digits and words or non-symbolic dot displays. Little is known about the relative time course these number representations. We investigated emergence for three stimulus formats - digits, words, arrays by applying multivariate pattern analysis to MEG recordings from 22 participants. first conducted within-format classification identify which individual numbers be...
ABSTRACT After years of experience, humans become experts at perceiving letters. Is this visual capacity attained by learning specialized letter features, or reusing general features previously learned in service object categorization? To explore question, we first measured the perceptual similarity letters two behavioral tasks, search and categorization. Then, trained deep convolutional neural networks on either 26-way categorization 1000-way categorization, as a way to operationalize...
After years of experience, humans become experts at recognizing written symbols. This learning process may form a new visual feature space highly specialized for distinguishing between letters one’s alphabet. Alternatively, symbols simply involve general shape features previously learned object classification. Here, we assess the plausibility latter hypothesis. We measured perceptual dissimilarity all pairs using search paradigm. On each trial, participants (n=220) identified target letter...
Human object-selective cortex shows a large-scale organization by the high-level properties of animacy and object size; but, this same neural is evoked when viewing “texform” stimuli, which are unrecognizable stimuli that preserve some texture coarse form information from original images (Long, Chen & Konkle, 2018). These results suggest categorical driven largely differences in mid-level feature tuning—the kind features would be detected early visual processing. However, fMRI studies...
Identification of visually presented numbers and letters is an essential task in literate societies, yet the neural mechanisms this behavior are still unclear. Recent studies have argued that specific regions ventral visual cortex selective for (Grotheer et al., 2016) (Thesen 2012). Here, we completed ultra-high resolution (7T) fMRI study to investigate whether these encode information about individual symbols. First, determined separate number letter could be found cortex. Next, used...
The human brain can rapidly form number representations from a variety of visual formats including digits, words, and dot displays. While an extensive literature has investigated where these symbolic non-symbolic are formed in the brain, less is known about temporal aspects this process. Here, we explored emergence by applying multivariate pattern analyses to MEG data. Participants (n = 22) encoded magnitude visually presented numbers across three different (digits, displays). First, how...
High-level visual cortex contains regions that selectively and differentially process certain categories, such as words, scenes faces, but little is known about how they are optimized to support processing. Here, using a population receptive field (pRF) model allows for estimates of elliptical orientated pRFs, we show two regions, the word form area (VWFA) parrahippocampal place (PPA), which subserve reading scene processing, respectively, integrate information across space in vastly...
What are the visual input analyzers that yield numerosity representations? Recent work from Nasr et al. (2019) provides an interesting possibility: representations implemented by same cortical networks can classify objects. They found a convolutional neural network trained on object classification had units with tuning curves for numerosity, similar to neurons in primate parietal and frontal cortex. Here, we extend these findings, examining whether network’s number tolerant stimulus...
The human visual system has different features preferentially responsive to animate versus inanimate objects. A range of possibilities exist for how these represent entities within each domain. At one extreme, vs have completely unique representational geometries specialized their the other two sets exact same geometries. Here, we investigated in object-classifying neural networks. We found that a large proportion layer AlexNet selectively respond either (17-45%) or objects (5-21%). Next,...