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You searched for +publisher:"University of Texas – Austin" +contributor:("Geisler, Wilson S"). Showing records 1 – 8 of 8 total matches.

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University of Texas – Austin

1. -6361-8674. Human and monkey detection performance in natural images compared with V1 population responses.

Degree: MA, Psychology, 2017, University of Texas – Austin

 Detection is a fundamental task that is critical to visual behavior. The central aim of this study was to measure and model behavioral and neurophysiological… (more)

Subjects/Keywords: Detection; Primary visual cortex; Neural population; Encoding; Decoding; Orientation column; Retinotopy; Neural performance; Macaque

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

-6361-8674. (2017). Human and monkey detection performance in natural images compared with V1 population responses. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/62952

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16th Edition):

-6361-8674. “Human and monkey detection performance in natural images compared with V1 population responses.” 2017. Masters Thesis, University of Texas – Austin. Accessed October 13, 2019. http://hdl.handle.net/2152/62952.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

-6361-8674. “Human and monkey detection performance in natural images compared with V1 population responses.” 2017. Web. 13 Oct 2019.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-6361-8674. Human and monkey detection performance in natural images compared with V1 population responses. [Internet] [Masters thesis]. University of Texas – Austin; 2017. [cited 2019 Oct 13]. Available from: http://hdl.handle.net/2152/62952.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

-6361-8674. Human and monkey detection performance in natural images compared with V1 population responses. [Masters Thesis]. University of Texas – Austin; 2017. Available from: http://hdl.handle.net/2152/62952

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

2. Bradley, Chris Kent. Retina-V1 model of detectability across the visual field.

Degree: PhD, Psychology, 2014, University of Texas – Austin

 A practical model is proposed for predicting the detectability of targets at arbitrary locations in the visual field, in arbitrary gray-scale backgrounds, and under photopic… (more)

Subjects/Keywords: Spatial vision; Detection; Masking; Peripheral vision; Ganglion cells; Natural images

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APA (6th Edition):

Bradley, C. K. (2014). Retina-V1 model of detectability across the visual field. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/26061

Chicago Manual of Style (16th Edition):

Bradley, Chris Kent. “Retina-V1 model of detectability across the visual field.” 2014. Doctoral Dissertation, University of Texas – Austin. Accessed October 13, 2019. http://hdl.handle.net/2152/26061.

MLA Handbook (7th Edition):

Bradley, Chris Kent. “Retina-V1 model of detectability across the visual field.” 2014. Web. 13 Oct 2019.

Vancouver:

Bradley CK. Retina-V1 model of detectability across the visual field. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2014. [cited 2019 Oct 13]. Available from: http://hdl.handle.net/2152/26061.

Council of Science Editors:

Bradley CK. Retina-V1 model of detectability across the visual field. [Doctoral Dissertation]. University of Texas – Austin; 2014. Available from: http://hdl.handle.net/2152/26061


University of Texas – Austin

3. -9578-7234. A comparative study of cortical computations in the mammalian visual cortex.

Degree: PhD, Neuroscience, 2015, University of Texas – Austin

 A common feature of all mammals is the cerebral cortex, which is essential for higher-order functions and processing information to generate motor actions. While cortical… (more)

Subjects/Keywords: Cortex; Computation

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APA (6th Edition):

-9578-7234. (2015). A comparative study of cortical computations in the mammalian visual cortex. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/31596

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16th Edition):

-9578-7234. “A comparative study of cortical computations in the mammalian visual cortex.” 2015. Doctoral Dissertation, University of Texas – Austin. Accessed October 13, 2019. http://hdl.handle.net/2152/31596.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

-9578-7234. “A comparative study of cortical computations in the mammalian visual cortex.” 2015. Web. 13 Oct 2019.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-9578-7234. A comparative study of cortical computations in the mammalian visual cortex. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2015. [cited 2019 Oct 13]. Available from: http://hdl.handle.net/2152/31596.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

-9578-7234. A comparative study of cortical computations in the mammalian visual cortex. [Doctoral Dissertation]. University of Texas – Austin; 2015. Available from: http://hdl.handle.net/2152/31596

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete


University of Texas – Austin

4. Sebastian, Stephen P. Pattern detection in natural images.

Degree: PhD, Psychology, 2016, University of Texas – Austin

 A fundamental visual task is to detect target objects within a background scene. Using relatively simple stimuli, vision science has identified several major factors that… (more)

Subjects/Keywords: Vision; Neuroscience; Perception; Natural images; Natural scene statistics

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APA (6th Edition):

Sebastian, S. P. (2016). Pattern detection in natural images. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/45636

Chicago Manual of Style (16th Edition):

Sebastian, Stephen P. “Pattern detection in natural images.” 2016. Doctoral Dissertation, University of Texas – Austin. Accessed October 13, 2019. http://hdl.handle.net/2152/45636.

MLA Handbook (7th Edition):

Sebastian, Stephen P. “Pattern detection in natural images.” 2016. Web. 13 Oct 2019.

Vancouver:

Sebastian SP. Pattern detection in natural images. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2016. [cited 2019 Oct 13]. Available from: http://hdl.handle.net/2152/45636.

Council of Science Editors:

Sebastian SP. Pattern detection in natural images. [Doctoral Dissertation]. University of Texas – Austin; 2016. Available from: http://hdl.handle.net/2152/45636


University of Texas – Austin

5. McCann, Brian Clark. Naturalistic depth perception.

Degree: PhD, Psychology, 2015, University of Texas – Austin

 Making inferences about the 3-dimensional spatial structure of natural scenes is a critical visual function. While spatial discrimination both in depth and on the image… (more)

Subjects/Keywords: Vision; Depth perception; Binocular; Stereopsis; Natural scene

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APA (6th Edition):

McCann, B. C. (2015). Naturalistic depth perception. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/31656

Chicago Manual of Style (16th Edition):

McCann, Brian Clark. “Naturalistic depth perception.” 2015. Doctoral Dissertation, University of Texas – Austin. Accessed October 13, 2019. http://hdl.handle.net/2152/31656.

MLA Handbook (7th Edition):

McCann, Brian Clark. “Naturalistic depth perception.” 2015. Web. 13 Oct 2019.

Vancouver:

McCann BC. Naturalistic depth perception. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2015. [cited 2019 Oct 13]. Available from: http://hdl.handle.net/2152/31656.

Council of Science Editors:

McCann BC. Naturalistic depth perception. [Doctoral Dissertation]. University of Texas – Austin; 2015. Available from: http://hdl.handle.net/2152/31656

6. -8322-5982. Signal transformation and noise correlation in the primate dorsal stream during sensory decision-making.

Degree: PhD, Neuroscience, 2016, University of Texas – Austin

 Neuroscientists have long sought a link between the activity of single neurons and our thoughts, perceptions and ultimately our mental experiences. As our senses provide… (more)

Subjects/Keywords: Decision-making; Computational neuroscience

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

-8322-5982. (2016). Signal transformation and noise correlation in the primate dorsal stream during sensory decision-making. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/40300

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16th Edition):

-8322-5982. “Signal transformation and noise correlation in the primate dorsal stream during sensory decision-making.” 2016. Doctoral Dissertation, University of Texas – Austin. Accessed October 13, 2019. http://hdl.handle.net/2152/40300.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

-8322-5982. “Signal transformation and noise correlation in the primate dorsal stream during sensory decision-making.” 2016. Web. 13 Oct 2019.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-8322-5982. Signal transformation and noise correlation in the primate dorsal stream during sensory decision-making. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2016. [cited 2019 Oct 13]. Available from: http://hdl.handle.net/2152/40300.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

-8322-5982. Signal transformation and noise correlation in the primate dorsal stream during sensory decision-making. [Doctoral Dissertation]. University of Texas – Austin; 2016. Available from: http://hdl.handle.net/2152/40300

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete


University of Texas – Austin

7. Goodall, Todd Richard. Inspection and evaluation of artifacts in digital video sources.

Degree: PhD, Electrical and Computer Engineering, 2018, University of Texas – Austin

 Streaming digital video content providers such as YouTube, Amazon, Hulu, and Netflix collaborate with production teams to obtain new and old video content. These collaborations… (more)

Subjects/Keywords: Digital video; Artifact detection; VIDMAP; VIDSPECT

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Goodall, T. R. (2018). Inspection and evaluation of artifacts in digital video sources. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/68147

Chicago Manual of Style (16th Edition):

Goodall, Todd Richard. “Inspection and evaluation of artifacts in digital video sources.” 2018. Doctoral Dissertation, University of Texas – Austin. Accessed October 13, 2019. http://hdl.handle.net/2152/68147.

MLA Handbook (7th Edition):

Goodall, Todd Richard. “Inspection and evaluation of artifacts in digital video sources.” 2018. Web. 13 Oct 2019.

Vancouver:

Goodall TR. Inspection and evaluation of artifacts in digital video sources. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2018. [cited 2019 Oct 13]. Available from: http://hdl.handle.net/2152/68147.

Council of Science Editors:

Goodall TR. Inspection and evaluation of artifacts in digital video sources. [Doctoral Dissertation]. University of Texas – Austin; 2018. Available from: http://hdl.handle.net/2152/68147


University of Texas – Austin

8. Kundu, Debarati. Subjective and objective quality evaluation of synthetic and high dynamic range images.

Degree: PhD, Electrical and Computer engineering, 2016, University of Texas – Austin

 Recent years have seen a huge growth in the acquisition, transmission, and storage of videos. The visual data consists of both natural scenes as well… (more)

Subjects/Keywords: Subject quality evaluation; Objective image quality algorithms; High dynamic range imaging; Synthetic images; Crowdsourcing

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Kundu, D. (2016). Subjective and objective quality evaluation of synthetic and high dynamic range images. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/40280

Chicago Manual of Style (16th Edition):

Kundu, Debarati. “Subjective and objective quality evaluation of synthetic and high dynamic range images.” 2016. Doctoral Dissertation, University of Texas – Austin. Accessed October 13, 2019. http://hdl.handle.net/2152/40280.

MLA Handbook (7th Edition):

Kundu, Debarati. “Subjective and objective quality evaluation of synthetic and high dynamic range images.” 2016. Web. 13 Oct 2019.

Vancouver:

Kundu D. Subjective and objective quality evaluation of synthetic and high dynamic range images. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2016. [cited 2019 Oct 13]. Available from: http://hdl.handle.net/2152/40280.

Council of Science Editors:

Kundu D. Subjective and objective quality evaluation of synthetic and high dynamic range images. [Doctoral Dissertation]. University of Texas – Austin; 2016. Available from: http://hdl.handle.net/2152/40280

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