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Efficient Coding of Local 2D Shape

Efficient coding provides a concise account of key early visual properties, but can it explain higher-level visual function such as shape perception? If curvature is a key primitive of local shape...

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Efficient Perception of Physical Object Properties with Visual Heuristics

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Object Rigidity: Competition and cooperation between motion-energy and...

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A Dynamical Model of Binding in Visual Cortex During Incremental Grouping and...

Binding of visual information is crucial for several perceptual tasks. To incrementally group an object, elements in a space-feature neighborhood need to be bound together starting from an attended...

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V1 Saliency Hypothesis and Central-Peripheral Dichotomy (CPD)

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Modeling the spread of object-based attention during free viewing

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Evaluating Models of Scanpath Prediction

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From Image Gradients to a Perceptual Metric Space

How do we achieve a sense of spatial dimension from a sense of location? There are three predominant ideas about how we achieve this; spatial isomorphism, in which what we see reflects differences in...

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Constraining the Binding Problem Using Maps

We constrained the binding problem by creating maps of different attributes. We compared the performance of different models with different maps in our current study. Our preliminary results showed...

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How object segmentation and perceptual grouping emerge in noisy variational...

Many animals and humans can recognize and segment objects from their backgrounds. Whether object segmentation is necessary for object recognition has long been a topic of debate. Deep neural networks...

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A Model for Binocular Fusion

This study proposed a model for binocular fusion, which aims to minimize binocular misalignment. The model consists of an array of phase and position disparity detectors in each spatial-frequency...

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Toward a Manifold Encoding Neural Responses

Understanding circuit properties from physiological data presents two challenges: (i) recordings do not reveal connectivity, and (ii) stimuli only exercise circuits to a limited extent. We address...

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Comprehensive analysis of the retinal cell contributions to the human ERG

Purpose. Standard electroretinogram (ERG) protocols are largely designed to isolate the responses of the rod and cone retinal pathways, including the use of adapting backgrounds to suppress unwanted...

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Automated Delineation of Visual Area Boundaries and Eccentricities by a CNN...

Delineating visual field maps and iso-eccentricities from fMRI data is an important but time-consuming task for many neuroimaging studies on the human visual cortex because the traditional methods of...

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The Model 2.0 and Friends: An Interim Report

Last year, I reported on preliminary results of an anatomically-inspired deep learning model of the visual system and its role in explaining the face inversion effect. This year, I will report on new...

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Modelling pairwise comparisons for Thurstonian scaling and Kendall rank...

Pairwise comparisons are a simple and effective way to measure the relative ordering of two samples. For more than two samples, a global ordering can be constructed and with sufficient data it is...

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A Signal Detection Model for the Analysis of Continuous Response Gradients...

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Extracting edges in space and time during visual fixations

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Active Encoding of Space through Time

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Task-driven influences on fixational eye movements

There is now compelling evidence that the spatiotemporal remapping carried out by fixational eye movements (FEMs) is an essential step in visual processing. Moreover, the overall Brownian-like...

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Are microsaccades the cause of attention-related modulation in visual circuits?

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Physiological Rationale for Fixation Eye-Movements

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