Figure Legend: in visual cortex

Slides:



Advertisements
Similar presentations
From: Human perception of subresolution fineness of dense textures based on image intensity statistics Journal of Vision. 2017;17(4):8. doi: /
Advertisements

Journal of Vision. 2006;6(5):2. doi: /6.5.2 Figure Legend:
Journal of Vision. 2016;16(10):14. doi: / Figure Legend:
From: System gamma as a function of image- and monitor-dynamic range
From: Statistics for optimal point prediction in natural images
Journal of Vision. 2016;16(10):9. doi: / Figure Legend:
Journal of Vision. 2008;8(7):12. doi: / Figure Legend:
Journal of Vision. 2011;11(12):7. doi: / Figure Legend:
From: Visual illusions based on single-field contrast asynchronies
From: Vector subtraction using visual and extraretinal motion signals: A new look at efference copy and corollary discharge theories Journal of Vision.
From: Why the long face? The importance of vertical image structure for biological “barcodes” underlying face recognition Journal of Vision. 2014;14(8):25.
Journal of Vision. 2012;12(13):19. doi: / Figure Legend:
Figure Legend: From: Bayesian inference for psychometric functions
From: What are the units of storage in visual working memory?
From: Does print size matter for reading
From: Neural bandwidth of veridical perception across the visual field
From: Subjectively homogeneous noise over written text as a tool to investigate the perceptual mechanisms involved in reading Journal of Vision. 2013;13(11):14.
From: Event-related potentials reveal an early advantage for luminance contours in the processing of objects Journal of Vision. 2011;11(7):1. doi: /
Journal of Vision. 2015;15(2):4. doi: / Figure Legend:
From: A New Software Approach for the Simulation of Multibody Dynamics
Journal of Vision. 2015;15(16):13. doi: / Figure Legend:
Journal of Vision. 2013;13(4):21. doi: / Figure Legend:
From: Human scotopic sensitivity is regulated postreceptorally by changing the speed of the scotopic response Journal of Vision. 2010;10(2):12. doi: /
Figure Legend: From: Adaptation to blurred and sharpened video
From: Metacontrast masking within and between visual channels: Effects of orientation and spatial frequency contrasts Journal of Vision. 2010;10(6):12.
From: Metacontrast masking within and between visual channels: Effects of orientation and spatial frequency contrasts Journal of Vision. 2010;10(6):12.
Journal of Vision. 2017;17(4):9. doi: / Figure Legend:
Journal of Vision. 2009;9(9):9. doi: /9.9.9 Figure Legend:
Journal of Vision. 2008;8(3):33. doi: / Figure Legend:
Figure Legend: From: Comparing integration rules in visual search
From: Optimum spatiotemporal receptive fields for vision in dim light
From: What do we perceive in a glance of a real-world scene?
Figure Legend: From: Gating of remote effects on lightness
Figure Legend: statistical inference
Journal of Vision. 2009;9(5):1. doi: /9.5.1 Figure Legend:
Journal of Vision. 2013;13(4):1. doi: / Figure Legend:
From: Perception of light source distance from shading patterns
Journal of Vision. 2015;15(6):4. doi: / Figure Legend:
From: Contour extracting networks in early extrastriate cortex
Journal of Vision. 2010;10(12):1. doi: / Figure Legend:
Journal of Vision. 2014;14(14):2. doi: / Figure Legend:
Figure Legend: From: Latitude and longitude vertical disparities
From: Probing visual consciousness: Rivalry between eyes and images
Journal of Vision. 2016;16(1):17. doi: / Figure Legend:
Date of download: 12/25/2017 Copyright © ASME. All rights reserved.
From: Visual sensitivity is a stronger determinant of illusory processes than auditory cue parameters in the sound-induced flash illusion Journal of Vision.
From: Variability of eye movements when viewing dynamic natural scenes
Journal of Vision. 2016;16(6):12. doi: / Figure Legend:
From: Attentional selection of relative SF mediates global versus local processing: Evidence from EEG Journal of Vision. 2011;11(7):11. doi: /
Journal of Vision. 2016;16(15):21. doi: / Figure Legend:
From: Perceived surface color in binocularly viewed scenes with two light sources differing in chromaticity Journal of Vision. 2004;4(9):1. doi: /4.9.1.
From: Rethinking ADA signage standards for low-vision accessibility
From: What predicts the strength of simultaneous color contrast?
Figure Legend: From: Fixations on low-resolution images
Journal of Vision. 2016;16(10):9. doi: / Figure Legend:
From: Learning to integrate arbitrary signals from vision and touch
Figure Legend: From: The resolution of facial expressions of emotion
Figure Legend: From: Measuring visual clutter
From: Four types of ensemble coding in data visualizations
Journal of Vision. 2016;16(3):28. doi: / Figure Legend:
Journal of Vision. 2014;14(8):6. doi: / Figure Legend:
From: The biological significance of color constancy: An agent-based model with bees foraging from flowers under varied illumination Journal of Vision.
From: Statistics for optimal point prediction in natural images
Journal of Vision. 2010;10(4):15. doi: / Figure Legend:
From: StarTrek Illusion—General object constancy phenomenon?
Journal of Vision. 2006;6(5):2. doi: /6.5.2 Figure Legend:
Journal of Vision. 2016;16(6):3. doi: / Figure Legend:
From: Suppression of monocular visual direction under fused binocular stimulation: Evoked potential measurements Journal of Vision. 2005;5(1):4. doi: /5.1.4.
Defn: degree of si = deg si = time when si enters the filtration. .
Journal of Vision. 2015;15(9):20. doi: / Figure Legend:
Presentation transcript:

Figure Legend: in visual cortex Journal of Vision. 2008;8(8):11. doi:10.1167/8.8.11 Figure Legend: Testing the statistical significance of barcodes. (a) We assume an initial population of Poisson-spiking neurons tuned for orientation. (b) The simulated response of this population to the presentation of different orientations is collected into a data matrix (or point cloud). (c) Analysis of the simulated data shows a long interval with a signature (b0, b1) = (1, 1), which correctly identifies the underlying object as a circle. (d) We also compute the barcodes by shifting the relative positions of the columns (data shuffling). In this case, the statistical distributions of spike counts for each axis remain unchanged, but their relationship is destroyed. By computing the distribution of maximal b1 lengths under this null hypothesis, we can evaluate the likelihood that our data was generated by the null hypothesis that there the coordinates of the points are independent. Date of download: 10/15/2017 The Association for Research in Vision and Ophthalmology Copyright © 2017. All rights reserved.