Cortical Stimulation Mapping Of Heschl’S Gyrus In The Auditory Cortex For Tinnitus Treatment,
2018
Claremont Colleges
Cortical Stimulation Mapping Of Heschl’S Gyrus In The Auditory Cortex For Tinnitus Treatment, Austin Huang
CMC Senior Theses
Tinnitus is the perception of sound in the absence of an actual sound stimulus. Recent developments have shifted the focus to the central nervous system and the neural correlate of tinnitus. Broadly, tinnitus involves cortical map rearrangement, pathological neural synchrony, and increased spontaneous firing rates. Various cortical regions, such as Heschl’s gyrus in the auditory cortex, have been found to be associated with different aspects of tinnitus, such as perception and loudness. I propose a cortical stimulation mapping study of Heschl’s gyrus using a depth and subdural electrode montage to conduct electrocorticography. This study would provide high-resolution data on abnormal …
Temporal Information Guides Prefrontal Preparatory Activity,
2018
University of New Mexico
Temporal Information Guides Prefrontal Preparatory Activity, Jacqueline R. Janowich
Shared Knowledge Conference
Proactive preparation for an upcoming goal differs from last-minute reactive adaptation, but it is unclear how preparatory mechanisms change based on when in the future a goal needs to be executed. To assess how timing information is integrated into preparatory control, we designed a novel variant of the Dot Pattern Expectancy task, where each cue signaled both task rule and delay duration (known short, known long, or unknown) between cue and probe. We recorded EEG while healthy young adult participants (n=36) performed this task, and found that delay demands elicited distinct prefrontal preparatory activities. Medial prefrontal amplitude was sensitive to …
Decision Making In A Changing Environment,
2018
University of Dayton
Decision Making In A Changing Environment, Alan Veliz-Cuba
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Hopfield Networks: Modeling Memory,
2018
Illinois State University
Hopfield Networks: Modeling Memory, Maria Gabriela Navas Zuloaga
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Population Codes And Their Correlates In Decision Making,
2018
The University of Texas M D Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences
Population Codes And Their Correlates In Decision Making, Neda Shahidi
Dissertations and Theses (Open Access)
This dissertation was organized in two parts: in part 1, we discussed Neural Correlates of Perceptual Accuracy” and in part 2 we discussed “Strategy encoding in Prefrontal Cortex”.
Abstract of part 1_The accurate transmission of electrical signals within neocortex is central to sensory perception and cognition. Theoretical studies have long proposed that the temporal coordination of cortical spiking activity controls signal transmission and cognitive function. In reality, whether and how the precise temporal coordination in neuronal populations during wakefulness influences perception remains a mystery. Here, we simultaneously recorded populations of neurons in early and mid-level visual cortex (areas V1 …
Mapping Molecular Datasets Back To The Brain Regions They Are Extracted From: Remembering The Native Countries Of Hypothalamic Expatriates And Refugees,
2018
University of Texas at El Paso
Mapping Molecular Datasets Back To The Brain Regions They Are Extracted From: Remembering The Native Countries Of Hypothalamic Expatriates And Refugees, Arshad Khan, Alice Grant, Anais Martinez, Gully Burns, Brendan Thatcher, Vishwanath Anekonda, Benjamin Thompson, Zachary Roberts, Daniel Moralejo, James Blevins
Selected Works Temporary Series
This article, which includes novel unpublished data along with commentary and analysis,focuses on approaches to link transcriptomic, proteomic, and peptidomic datasets mined frombrain tissue to the original locations within the brain that they are derived from using digital atlasmapping techniques. We use, as an example, the transcriptomic, proteomic and peptidomicanalyses conducted in the mammalian hypothalamus. Following a brief historical overview, wehighlight studies that have mined biochemical and molecular information from the hypothalamusand then lay out a strategy for how these data can be linked spatially to the mapped locations in acanonical brain atlas where the data come from, thereby allowing …
Mapping Molecular Datasets Back To The Brain Regions They Are Extracted From: Remembering The Native Countries Of Hypothalamic Expatriates And Refugees,
2018
University of Texas at El Paso
Mapping Molecular Datasets Back To The Brain Regions They Are Extracted From: Remembering The Native Countries Of Hypothalamic Expatriates And Refugees, Khan, Alice Grant, Anais Martinez, Gully Burns, Brendan Thatcher, Vishwanath Anekonda, Benjamin Thompson, Zachary Roberts, Daniel Moralejo, James Blevins
Departmental Papers (Biology)
This article, which includes novel unpublished data along with commentary and analysis,focuses on approaches to link transcriptomic, proteomic, and peptidomic datasets mined frombrain tissue to the original locations within the brain that they are derived from using digital atlasmapping techniques. We use, as an example, the transcriptomic, proteomic and peptidomicanalyses conducted in the mammalian hypothalamus. Following a brief historical overview, wehighlight studies that have mined biochemical and molecular information from the hypothalamusand then lay out a strategy for how these data can be linked spatially to the mapped locations in acanonical brain atlas where the data come from, thereby allowing …
Social Experience Affects Decision Making And Learning: Empirical And Computational Analysis,
2018
East Carolina University
Social Experience Affects Decision Making And Learning: Empirical And Computational Analysis, Sungwoo Ahn
Biology and Medicine Through Mathematics Conference
No abstract provided.
Geometric Analysis Of Synchronization In Neuronal Networks With Global Inhibition And Coupling Delays,
2018
University of Hartford
Geometric Analysis Of Synchronization In Neuronal Networks With Global Inhibition And Coupling Delays, Hwayeon Ryu, Sue Ann Campbell
Biology and Medicine Through Mathematics Conference
No abstract provided.
‘Preferred’ Stimulus Of A Whole Model Visual System,
2018
University of St Andrews
‘Preferred’ Stimulus Of A Whole Model Visual System, Olivier Penacchio, Julie M. Harris
MODVIS Workshop
No abstract provided.
Finding Any Waldo: Zero-Shot Invariant And Efficient Visual Search,
2018
HMS
Finding Any Waldo: Zero-Shot Invariant And Efficient Visual Search, Gabriel Kreiman, Mengmi Zhang
MODVIS Workshop
Visual search constitutes a ubiquitous challenge in natural vision, including daily tasks such as finding a friend in a crowd or searching for a car in a parking lot. Visual search must fulfill four key properties: selectivity (to distinguish the target from distractors in a cluttered scene), invariance (to localize the target despite changes in its rotation, scale, illumination, and even searching for generic object categories), speed (to efficiently localize the target without exhaustive sampling), and generalization (to search for any object, even ones that we have had minimal or no experience with). Here we propose a computational model that …
Linking Signal Detection Theory And Encoding Models To Reveal Independent Neural Representations From Neuroimaging Data,
2018
Florida International University
Linking Signal Detection Theory And Encoding Models To Reveal Independent Neural Representations From Neuroimaging Data, Fabian A. Soto
MODVIS Workshop
No abstract provided.
Texture Statistics Are Sufficient For Ensemble Perception,
2018
Department of Psychology, University of California San Diego
Texture Statistics Are Sufficient For Ensemble Perception, Sasen S. Cain, Matthew S. Cain
MODVIS Workshop
No abstract provided.
Modeling Neural Computations In Lgn And Visual Cortex That Underlie Contextual Modulation Of Lightness And Darkness Magnitudes In Simple And Complex Images,
2018
[email protected]
Modeling Neural Computations In Lgn And Visual Cortex That Underlie Contextual Modulation Of Lightness And Darkness Magnitudes In Simple And Complex Images, Michael E. Rudd
MODVIS Workshop
No abstract provided.
Brightness Perception Involves Local Adaptation Opposed By Lateral Interaction,
2018
Graduate Center for Vision Research, State University of New York
Brightness Perception Involves Local Adaptation Opposed By Lateral Interaction, Qasim Zaidi, Romain Bachy, Jose-Manuel Alonso
MODVIS Workshop
No abstract provided.
The Road Towards Image-Computable Models Of Human Visual Grasp Planning,
2018
University of Gießen
The Road Towards Image-Computable Models Of Human Visual Grasp Planning, Guido Maiello, Lina K. Klein, Vivian C. Paulun, Katherine R. Storrs, Roland W. Fleming
MODVIS Workshop
No abstract provided.
A Feature-Based Model Of Visually Perceiving Deformable Objects,
2018
Justus Liebig University, Giessen
A Feature-Based Model Of Visually Perceiving Deformable Objects, Vivian C. Paulun, Filipp Schmidt, Roland W. Fleming
MODVIS Workshop
No abstract provided.
Effect Of Noise On Mutually Inhibiting Pyramidal Cells In Visual Cortex: Foundation Of Stochasticity In Bi-Stable Perception,
2018
Biophysics, Donders Institute for Brain, Cognition and Behaviour, Radboud University
Effect Of Noise On Mutually Inhibiting Pyramidal Cells In Visual Cortex: Foundation Of Stochasticity In Bi-Stable Perception, Naoki Kogo, Felix Kern, Thomas Nowotny, Raymond Van Ee, Richard Van Wezel, Takeshi Aihara
MODVIS Workshop
Bi-stable perception has been an important tool to investigate how visual input is interpreted and how it reaches consciousness. To explain the mechanisms of this phenomenon, it has been assumed that a mutual inhibition circuit plays a key role. It is possible that this circuit functions to resolve ambiguity of input image by quickly shifting the balance of competing signals in response to conflicting features. Recently we established an in vitro neural recording system combined with computerized connections mediated by model neurons and synapses (“dynamic clamp” system). With this system, mutual inhibition circuit between two pyramidal cells from primary visual …
Visual Category Learning By Means Of Basal Ganglia,
2018
Chemnitz University of Technology
Visual Category Learning By Means Of Basal Ganglia, Fred H. Hamker, Francesc Villagrasa, Javier Baladron, Henning Schroll, Julien Vitay
MODVIS Workshop
No abstract provided.
Why Latent Representations In Convolutional Neural Networks Fall Outside Visual Space,
2018
Pavlov Institute of Physiology of the Russian Academy of Sciences
Why Latent Representations In Convolutional Neural Networks Fall Outside Visual Space, Katerina Malakhova
MODVIS Workshop
It is common to compare properties of visual information processing by artificial neural networks and the primate visual system.
Some remarkable similarities were observed in the responses of neurons in IT cortex and units in higher layers of CNNs. Here I show that latent representations formed by weights in convolutional layers do not necessarily reflect visual domain. Instead they are strongly dependent on a choice of training set and cost function.
The most striking example is when an individual unit, which is highly selective to some members of a category is, nevertheless, inhibited by visually similar objects of the same …
