Advanced search options

Advanced Search Options 🞨

Browse by author name (“Author name starts with…”).

Find ETDs with:

in
/  
in
/  
in
/  
in

Written in Published in Earliest date Latest date

Sorted by

Results per page:

Sorted by: relevance · author · university · dateNew search

You searched for +publisher:"University of Texas – Austin" +contributor:("Pillow, Jonathan"). Showing records 1 – 15 of 15 total matches.

Search Limiters

Last 2 Years | English Only

No search limiters apply to these results.

▼ Search Limiters


University of Texas – Austin

1. Park, Mijung. Automatic regularization technique for the estimation of neural receptive fields.

Degree: Electrical and Computer Engineering, 2010, University of Texas – Austin

 A fundamental question on visual system in neuroscience is how the visual stimuli are functionally related to neural responses. This relationship is often explained by… (more)

Subjects/Keywords: Neural receptive fields; Linear regression; Regularization; Spatio-temporal restricted prior; Frequency restricted prior

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Park, M. (2010). Automatic regularization technique for the estimation of neural receptive fields. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/ETD-UT-2010-05-1359

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Park, Mijung. “Automatic regularization technique for the estimation of neural receptive fields.” 2010. Thesis, University of Texas – Austin. Accessed June 20, 2019. http://hdl.handle.net/2152/ETD-UT-2010-05-1359.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Park, Mijung. “Automatic regularization technique for the estimation of neural receptive fields.” 2010. Web. 20 Jun 2019.

Vancouver:

Park M. Automatic regularization technique for the estimation of neural receptive fields. [Internet] [Thesis]. University of Texas – Austin; 2010. [cited 2019 Jun 20]. Available from: http://hdl.handle.net/2152/ETD-UT-2010-05-1359.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Park M. Automatic regularization technique for the estimation of neural receptive fields. [Thesis]. University of Texas – Austin; 2010. Available from: http://hdl.handle.net/2152/ETD-UT-2010-05-1359

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Texas – Austin

2. -9578-7234. A comparative study of cortical computations in the mammalian visual cortex.

Degree: 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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

-9578-7234. (2015). A comparative study of cortical computations in the mammalian visual cortex. (Thesis). 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
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

-9578-7234. “A comparative study of cortical computations in the mammalian visual cortex.” 2015. Thesis, University of Texas – Austin. Accessed June 20, 2019. http://hdl.handle.net/2152/31596.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

-9578-7234. “A comparative study of cortical computations in the mammalian visual cortex.” 2015. Web. 20 Jun 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] [Thesis]. University of Texas – Austin; 2015. [cited 2019 Jun 20]. 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
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

-9578-7234. A comparative study of cortical computations in the mammalian visual cortex. [Thesis]. 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
Not specified: Masters Thesis or Doctoral Dissertation


University of Texas – Austin

3. Latimer, Kenneth William. Statistical approaches for unraveling the neural code in the visual system.

Degree: Neuroscience, 2015, University of Texas – Austin

 Here we consider the neural coding problem at two levels of the macaque visual system.First, we analyze single neurons recorded in the lateral intraparietal (LIP)… (more)

Subjects/Keywords: Lateral intraparietal; Diffusion-to-bound; Latent variable model; Decision making; Retinal ganglion cell; Spike trains; Computational model; Neural coding; Synaptic conductance

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Latimer, K. W. (2015). Statistical approaches for unraveling the neural code in the visual system. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/31597

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Latimer, Kenneth William. “Statistical approaches for unraveling the neural code in the visual system.” 2015. Thesis, University of Texas – Austin. Accessed June 20, 2019. http://hdl.handle.net/2152/31597.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Latimer, Kenneth William. “Statistical approaches for unraveling the neural code in the visual system.” 2015. Web. 20 Jun 2019.

Vancouver:

Latimer KW. Statistical approaches for unraveling the neural code in the visual system. [Internet] [Thesis]. University of Texas – Austin; 2015. [cited 2019 Jun 20]. Available from: http://hdl.handle.net/2152/31597.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Latimer KW. Statistical approaches for unraveling the neural code in the visual system. [Thesis]. University of Texas – Austin; 2015. Available from: http://hdl.handle.net/2152/31597

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Texas – Austin

4. Yoon, Ki Jung. Unraveling the dynamics and structure of grid cells as a spatial map in the brain.

Degree: Electrical and Computer Engineering, 2015, University of Texas – Austin

 Grid cells, defined by their strikingly periodic spatial responses in open fields, have spurred widespread theoretical interest, and numerous models have been proposed to explain… (more)

Subjects/Keywords: Grid cells; Spatial memory; Spatial navigation

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Yoon, K. J. (2015). Unraveling the dynamics and structure of grid cells as a spatial map in the brain. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/33387

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Yoon, Ki Jung. “Unraveling the dynamics and structure of grid cells as a spatial map in the brain.” 2015. Thesis, University of Texas – Austin. Accessed June 20, 2019. http://hdl.handle.net/2152/33387.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Yoon, Ki Jung. “Unraveling the dynamics and structure of grid cells as a spatial map in the brain.” 2015. Web. 20 Jun 2019.

Vancouver:

Yoon KJ. Unraveling the dynamics and structure of grid cells as a spatial map in the brain. [Internet] [Thesis]. University of Texas – Austin; 2015. [cited 2019 Jun 20]. Available from: http://hdl.handle.net/2152/33387.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Yoon KJ. Unraveling the dynamics and structure of grid cells as a spatial map in the brain. [Thesis]. University of Texas – Austin; 2015. Available from: http://hdl.handle.net/2152/33387

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

5. -4236-8957. Grid cell attractor networks: development and implications.

Degree: Physics, 2015, University of Texas – Austin

 At the foundation of our ability to plan trajectories in complex terrain is a basic need to establish one’s positional bearings in the environment, i.e.,… (more)

Subjects/Keywords: Grid cells; Attractor networks; Neural network; Hippocampus

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

-4236-8957. (2015). Grid cell attractor networks: development and implications. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/33394

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

-4236-8957. “Grid cell attractor networks: development and implications.” 2015. Thesis, University of Texas – Austin. Accessed June 20, 2019. http://hdl.handle.net/2152/33394.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

-4236-8957. “Grid cell attractor networks: development and implications.” 2015. Web. 20 Jun 2019.

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

Vancouver:

-4236-8957. Grid cell attractor networks: development and implications. [Internet] [Thesis]. University of Texas – Austin; 2015. [cited 2019 Jun 20]. Available from: http://hdl.handle.net/2152/33394.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

-4236-8957. Grid cell attractor networks: development and implications. [Thesis]. University of Texas – Austin; 2015. Available from: http://hdl.handle.net/2152/33394

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation


University of Texas – Austin

6. Ruiz, Vito Manuel. Adaptation in a deep network.

Degree: Neuroscience, 2011, University of Texas – Austin

 Though adaptational effects are found throughout the visual system, the underlying mechanisms and benefits of this phenomenon are not yet known. In this work, the… (more)

Subjects/Keywords: Deep belief network; Neural network; Generative model; Adaptation; Vision; Efficient coding; Sight

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Ruiz, V. M. (2011). Adaptation in a deep network. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/ETD-UT-2011-05-3156

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Ruiz, Vito Manuel. “Adaptation in a deep network.” 2011. Thesis, University of Texas – Austin. Accessed June 20, 2019. http://hdl.handle.net/2152/ETD-UT-2011-05-3156.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Ruiz, Vito Manuel. “Adaptation in a deep network.” 2011. Web. 20 Jun 2019.

Vancouver:

Ruiz VM. Adaptation in a deep network. [Internet] [Thesis]. University of Texas – Austin; 2011. [cited 2019 Jun 20]. Available from: http://hdl.handle.net/2152/ETD-UT-2011-05-3156.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ruiz VM. Adaptation in a deep network. [Thesis]. University of Texas – Austin; 2011. Available from: http://hdl.handle.net/2152/ETD-UT-2011-05-3156

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Texas – Austin

7. Chen, Mei-Yen, Ph. D. The development of bias in perceptual and financial decision-making.

Degree: Psychology, 2014, University of Texas – Austin

 Decisions are prone to bias. This can be seen in daily choices. For instance, when the markets are plunging, investors tend to sell stocks instead… (more)

Subjects/Keywords: fMRI; Reinforcement learning; Drift-diffusion model; Decision-making

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Chen, Mei-Yen, P. D. (2014). The development of bias in perceptual and financial decision-making. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/44086

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Chen, Mei-Yen, Ph D. “The development of bias in perceptual and financial decision-making.” 2014. Thesis, University of Texas – Austin. Accessed June 20, 2019. http://hdl.handle.net/2152/44086.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Chen, Mei-Yen, Ph D. “The development of bias in perceptual and financial decision-making.” 2014. Web. 20 Jun 2019.

Vancouver:

Chen, Mei-Yen PD. The development of bias in perceptual and financial decision-making. [Internet] [Thesis]. University of Texas – Austin; 2014. [cited 2019 Jun 20]. Available from: http://hdl.handle.net/2152/44086.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chen, Mei-Yen PD. The development of bias in perceptual and financial decision-making. [Thesis]. University of Texas – Austin; 2014. Available from: http://hdl.handle.net/2152/44086

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Texas – Austin

8. Khilkevich, Andrei. Cerebellar mechanisms underlying adaptive motor responses.

Degree: Neuroscience, 2018, University of Texas – Austin

 In order to understand the function of any brain structure, one must know what input/output transformation it performs. The term input/output transformation includes at least… (more)

Subjects/Keywords: Cerebellum; Eyelid conditioning; Purkinje cell; Uncertainty; Sequence learning

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Khilkevich, A. (2018). Cerebellar mechanisms underlying adaptive motor responses. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/63385

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Khilkevich, Andrei. “Cerebellar mechanisms underlying adaptive motor responses.” 2018. Thesis, University of Texas – Austin. Accessed June 20, 2019. http://hdl.handle.net/2152/63385.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Khilkevich, Andrei. “Cerebellar mechanisms underlying adaptive motor responses.” 2018. Web. 20 Jun 2019.

Vancouver:

Khilkevich A. Cerebellar mechanisms underlying adaptive motor responses. [Internet] [Thesis]. University of Texas – Austin; 2018. [cited 2019 Jun 20]. Available from: http://hdl.handle.net/2152/63385.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Khilkevich A. Cerebellar mechanisms underlying adaptive motor responses. [Thesis]. University of Texas – Austin; 2018. Available from: http://hdl.handle.net/2152/63385

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

9. -8322-5982. Signal transformation and noise correlation in the primate dorsal stream during sensory decision-making.

Degree: 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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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. (Thesis). 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
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

-8322-5982. “Signal transformation and noise correlation in the primate dorsal stream during sensory decision-making.” 2016. Thesis, University of Texas – Austin. Accessed June 20, 2019. http://hdl.handle.net/2152/40300.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

-8322-5982. “Signal transformation and noise correlation in the primate dorsal stream during sensory decision-making.” 2016. Web. 20 Jun 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] [Thesis]. University of Texas – Austin; 2016. [cited 2019 Jun 20]. 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
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

-8322-5982. Signal transformation and noise correlation in the primate dorsal stream during sensory decision-making. [Thesis]. 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
Not specified: Masters Thesis or Doctoral Dissertation

10. Knudson, Karin Comer. Recovery of continuous quantities from discrete and binary data with applications to neural data.

Degree: Mathematics, 2014, University of Texas – Austin

 We consider three problems, motivated by questions in computational neuroscience, related to recovering continuous quantities from binary or discrete data or measurements in the context… (more)

Subjects/Keywords: Compressive sensing; Computational neuroscience; Signal processing; Spike sorting; Machine learning

Page 1 Page 2 Page 3 Page 4 Page 5 Page 6 Page 7 Sample image

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Knudson, K. C. (2014). Recovery of continuous quantities from discrete and binary data with applications to neural data. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/28424

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Knudson, Karin Comer. “Recovery of continuous quantities from discrete and binary data with applications to neural data.” 2014. Thesis, University of Texas – Austin. Accessed June 20, 2019. http://hdl.handle.net/2152/28424.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Knudson, Karin Comer. “Recovery of continuous quantities from discrete and binary data with applications to neural data.” 2014. Web. 20 Jun 2019.

Vancouver:

Knudson KC. Recovery of continuous quantities from discrete and binary data with applications to neural data. [Internet] [Thesis]. University of Texas – Austin; 2014. [cited 2019 Jun 20]. Available from: http://hdl.handle.net/2152/28424.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Knudson KC. Recovery of continuous quantities from discrete and binary data with applications to neural data. [Thesis]. University of Texas – Austin; 2014. Available from: http://hdl.handle.net/2152/28424

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

11. Corey, Joseph Harrod. Homeostasis and synaptic scaling : a theoretical perspective.

Degree: Neuroscience, 2012, University of Texas – Austin

 Abstract The synaptic input received by neurons in cortical circuits is in constant flux. From both environmental sensory changes and learning mechanisms that modify synaptic… (more)

Subjects/Keywords: Homeostasis; Synaptic scaling; Intrinsic plasticity

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Corey, J. H. (2012). Homeostasis and synaptic scaling : a theoretical perspective. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/20010

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Corey, Joseph Harrod. “Homeostasis and synaptic scaling : a theoretical perspective.” 2012. Thesis, University of Texas – Austin. Accessed June 20, 2019. http://hdl.handle.net/2152/20010.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Corey, Joseph Harrod. “Homeostasis and synaptic scaling : a theoretical perspective.” 2012. Web. 20 Jun 2019.

Vancouver:

Corey JH. Homeostasis and synaptic scaling : a theoretical perspective. [Internet] [Thesis]. University of Texas – Austin; 2012. [cited 2019 Jun 20]. Available from: http://hdl.handle.net/2152/20010.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Corey JH. Homeostasis and synaptic scaling : a theoretical perspective. [Thesis]. University of Texas – Austin; 2012. Available from: http://hdl.handle.net/2152/20010

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

12. Park, Mi Jung. Bayesian learning methods for neural coding.

Degree: Electrical and Computer Engineering, 2013, University of Texas – Austin

 A primary goal in systems neuroscience is to understand how neural spike responses encode information about the external world. A popular approach to this problem… (more)

Subjects/Keywords: Bayesian statistics; Neural coding; Active learning; Gaussian processes; Hierarchical models; Low rank models

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Park, M. J. (2013). Bayesian learning methods for neural coding. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/22961

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Park, Mi Jung. “Bayesian learning methods for neural coding.” 2013. Thesis, University of Texas – Austin. Accessed June 20, 2019. http://hdl.handle.net/2152/22961.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Park, Mi Jung. “Bayesian learning methods for neural coding.” 2013. Web. 20 Jun 2019.

Vancouver:

Park MJ. Bayesian learning methods for neural coding. [Internet] [Thesis]. University of Texas – Austin; 2013. [cited 2019 Jun 20]. Available from: http://hdl.handle.net/2152/22961.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Park MJ. Bayesian learning methods for neural coding. [Thesis]. University of Texas – Austin; 2013. Available from: http://hdl.handle.net/2152/22961

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

13. Czuba, Thaddeus Bradley. Binocular mechanisms underlying the processing of three-dimensional visual motion.

Degree: Psychology, 2012, University of Texas – Austin

 In this dissertation, I examine binocular 3D motion processing through a series of psychophysical and neuroimaging experiments aimed at uncovering the neural computations involved and… (more)

Subjects/Keywords: 3D motion; Binocular vision; Interocular velocity difference; Changing disparity

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Czuba, T. B. (2012). Binocular mechanisms underlying the processing of three-dimensional visual motion. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/19449

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Czuba, Thaddeus Bradley. “Binocular mechanisms underlying the processing of three-dimensional visual motion.” 2012. Thesis, University of Texas – Austin. Accessed June 20, 2019. http://hdl.handle.net/2152/19449.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Czuba, Thaddeus Bradley. “Binocular mechanisms underlying the processing of three-dimensional visual motion.” 2012. Web. 20 Jun 2019.

Vancouver:

Czuba TB. Binocular mechanisms underlying the processing of three-dimensional visual motion. [Internet] [Thesis]. University of Texas – Austin; 2012. [cited 2019 Jun 20]. Available from: http://hdl.handle.net/2152/19449.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Czuba TB. Binocular mechanisms underlying the processing of three-dimensional visual motion. [Thesis]. University of Texas – Austin; 2012. Available from: http://hdl.handle.net/2152/19449

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

14. Andoni, Sari. Motion selectivity as a neural mechanism for encoding natural conspecific vocalizations.

Degree: Institute for Neuroscience, 2010, University of Texas – Austin

 Natural sound, such as conspecific vocalizations and human speech, represents an important part of the sensory signals animals and humans encounter in their daily lives.… (more)

Subjects/Keywords: Motion selectivity; Communication calls; Animal vocalization; Spectral motion; Direction-selectivity; Velocity tuning; FM sweeps; Inferior colliculus; Natural signals

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Andoni, S. (2010). Motion selectivity as a neural mechanism for encoding natural conspecific vocalizations. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/ETD-UT-2010-12-2159

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Andoni, Sari. “Motion selectivity as a neural mechanism for encoding natural conspecific vocalizations.” 2010. Thesis, University of Texas – Austin. Accessed June 20, 2019. http://hdl.handle.net/2152/ETD-UT-2010-12-2159.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Andoni, Sari. “Motion selectivity as a neural mechanism for encoding natural conspecific vocalizations.” 2010. Web. 20 Jun 2019.

Vancouver:

Andoni S. Motion selectivity as a neural mechanism for encoding natural conspecific vocalizations. [Internet] [Thesis]. University of Texas – Austin; 2010. [cited 2019 Jun 20]. Available from: http://hdl.handle.net/2152/ETD-UT-2010-12-2159.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Andoni S. Motion selectivity as a neural mechanism for encoding natural conspecific vocalizations. [Thesis]. University of Texas – Austin; 2010. Available from: http://hdl.handle.net/2152/ETD-UT-2010-12-2159

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

15. Sullivan, Brian Thomas. The role of uncertainty and reward on eye movements in natural tasks.

Degree: Psychology, 2012, University of Texas – Austin

 The human visual system is remarkable for the variety of functions it can be used for and the range of conditions under which it can… (more)

Subjects/Keywords: Visual attention; Computational models of vision; Driving; Eye movements

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Sullivan, B. T. (2012). The role of uncertainty and reward on eye movements in natural tasks. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/ETD-UT-2012-05-4995

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Sullivan, Brian Thomas. “The role of uncertainty and reward on eye movements in natural tasks.” 2012. Thesis, University of Texas – Austin. Accessed June 20, 2019. http://hdl.handle.net/2152/ETD-UT-2012-05-4995.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Sullivan, Brian Thomas. “The role of uncertainty and reward on eye movements in natural tasks.” 2012. Web. 20 Jun 2019.

Vancouver:

Sullivan BT. The role of uncertainty and reward on eye movements in natural tasks. [Internet] [Thesis]. University of Texas – Austin; 2012. [cited 2019 Jun 20]. Available from: http://hdl.handle.net/2152/ETD-UT-2012-05-4995.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sullivan BT. The role of uncertainty and reward on eye movements in natural tasks. [Thesis]. University of Texas – Austin; 2012. Available from: http://hdl.handle.net/2152/ETD-UT-2012-05-4995

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

.