Contextual Fear Retrieval-Induced Fos Expression Across Early Development In The Rat: An Analysis Using Established Nervous System Nomenclature Ontology,
2018
University at Albany, State University of New York
Contextual Fear Retrieval-Induced Fos Expression Across Early Development In The Rat: An Analysis Using Established Nervous System Nomenclature Ontology, Santarelli, Arshad Khan, Andrew Poulos
Departmental Papers (Biology)
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.
Exploiting Click-Chemistry And Microfluidics To Map The Neuronal Itinerary Of App Processing And Amyloid-Beta Generation,
2018
Washington University in St. Louis
Exploiting Click-Chemistry And Microfluidics To Map The Neuronal Itinerary Of App Processing And Amyloid-Beta Generation, Namratha Srinivas
McKelvey School of Engineering Graduate Student Theses & Dissertations
Alzheimer’s disease (AD) is a chronic neurodegenerative disease and is the sixth leading cause of death in the United States with approximately 5.5 million Americans diagnosed with it. The neuropathological hallmark includes extracellular senile plaques and intraneuronal neurofibrillary tangles. Recent GWAS studies have identified genes associated with AD, and have revealed several classes of genes implicated in disease pathogenesis. In particular, three general pathways associated with an increased risk of AD included: 1) cholesterol metabolism, innate immune system, and the membrane trafficking. Our lab has focused on intracellular trafficking as it relates to the processing of amyloid precursor protein (APP), …
Michelson Contrast For Transparency Perception In Scenes With Multiple Luminances,
2018
Technical University of Berlin
Michelson Contrast For Transparency Perception In Scenes With Multiple Luminances, Minjung Kim, Guillermo Aguilar, Marianne Maertens
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.
Global Estimation Of Signed 3d Surface Tilt From Natural Images,
2018
University of Pennsylvania
Global Estimation Of Signed 3d Surface Tilt From Natural Images, Seha Kim, Johannes Burge
MODVIS Workshop
The ability of human visual systems to estimate 3D surface orientation from 2D retinal images is critical. But the computation to calculate 3D orientation in real-world scenes is not fully understood. A Bayes optimal model grounded in natural statistics has explained 3D surface tilt estimation of human observers in natural scenes (Kim and Burge, 2018). However, the model is limited because it estimates only unsigned tilt (tilt modulo 180deg). We extend the model to predict signed tilt estimates and compared with human signed estimates. The model takes image pixels as input and produces optimal estimates of tilt as output, using …
Inferring The Neural Representation Of Faces From Adaptation Aftereffects,
2018
University of Nevada, Reno
Inferring The Neural Representation Of Faces From Adaptation Aftereffects, Kara J. Emery, Michael A. Webster Ph.D.
MODVIS Workshop
The aftereffects of adaptation to faces have been studied widely, in part to characterize the coding schemes for representing different facial attributes. Often these aftereffects have been interpreted in terms of two alternative models of face processing: 1) a norm-based or opponent code, in which the facial dimension is represented by relative activity in a pair of broadly-tuned mechanisms with opposing sensitivities; or 2) an exemplar code, in which the dimension is sampled by multiple channels narrowly-tuned to different levels of the stimulus. Evidence for or against these alternatives is based on the different patterns of aftereffects they predict (e.g. …
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 …
Appropriate Kernels For Divisive Normalization Explained By Wilson-Cowan Equations,
2018
Image Processing Lab. Universitat de Valencia
Appropriate Kernels For Divisive Normalization Explained By Wilson-Cowan Equations, Jesus Malo, Marcelo Bertalmio
MODVIS Workshop
Cascades of standard Linear+NonLinear-Divisive Normalization transforms [Carandini&Heeger12] can be easily fitted using the appropriate formulation introduced in [Martinez17a] to reproduce the perception of image distortion in naturalistic environments. However, consistently with [Rust&Movshon05], training the model in naturalistic environments does not guarantee the prediction of well known phenomena illustrated by artificial stimuli. For example, the cascade of Divisive Normalizations fitted with image quality databases has to be modified to include a variety aspects of masking of simple patterns. Specifically, the standard Gaussian kernels of [Watson&Solomon97] have to be augmented with extra weights [Martinez17b]. These can be introduced ad-hoc using the intuition …
Divisive Inhibition As A Solution To The Correspondence Problem In Perceptual Grouping,
2018
National Taiwan University
Divisive Inhibition As A Solution To The Correspondence Problem In Perceptual Grouping, Chien-Chung Chen, Yi-Shiuan Lin, Li Lin
MODVIS Workshop
No abstract provided.
Model Investigation On Contribution Of Feedback In Distortion Induced Motion Adaptation,
2018
University Tuebingen
Model Investigation On Contribution Of Feedback In Distortion Induced Motion Adaptation, Siegfried Wahl, Selam Habtegiorgis, Christian Jarvers, Katharina Rifai, Heiko Neumann
MODVIS Workshop
Motion information is processed in a neural circuit formed by synaptic organization of feedforward (FF) and feedback (FB) connections between different cortical areas. However, the contribution of a recurrent FB information to adaptation process is not well explored. Here, a biologically plausible neural model that predicts motion adaptation aftereffect (MAE) induced by exposure to geometrically skewed natural image sequences is suggested. The model constitutes two stage recurrent motion processing within cortical areas V1 and MT [1]. It comprises FF excitatory, FB modulatory and lateral inhibitory connections, and a fast and a slow adaptive synapse in the FF and FB streams, …
A Model Of 1d And 2d Motion Processing In The Primate Brain,
2018
University of Nottingham
A Model Of 1d And 2d Motion Processing In The Primate Brain, Alan Johnston
MODVIS Workshop
Velocity encoding in the primate brain can be modelled by a spatiotemporal gradient approach, with neurons characterized as spatio-temporal derivative operators (Johnston et al. 1999). This strategy works well for moving 1D spatial patterns, but it can produce systematic errors, as it can be overly influenced by the direction of the local spatial gradient of the image brightness. For 2D pattern it is possible to develop a similar spatio-temporal approach, in which the system solves a set of over-determined linear equations directly, to provide an estimate for the 2D image motion. However, in this case the matrix one needs to …
