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You searched for +publisher:"University of Southern California" +contributor:("Mel, Bartlett W."). Showing records 1 – 21 of 21 total matches.

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University of Southern California

1. Begley, Jeffrey Robert. Modeling the integration of salamander vision and behavior.

Degree: PhD, Computer Science, 2009, University of Southern California

 This thesis examines the behavioral consequences of motion sensitivity of salamanders' visual neurons. The analysis is centered on a correlation-based motion detector model of motion-sensitive… (more)

Subjects/Keywords: salmander vision; motion sensitivity; CPG-based locomotion; neural locomotion steering; numerical preference; numerical discrimination; brain modeling

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APA (6th Edition):

Begley, J. R. (2009). Modeling the integration of salamander vision and behavior. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/242256/rec/4145

Chicago Manual of Style (16th Edition):

Begley, Jeffrey Robert. “Modeling the integration of salamander vision and behavior.” 2009. Doctoral Dissertation, University of Southern California. Accessed May 26, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/242256/rec/4145.

MLA Handbook (7th Edition):

Begley, Jeffrey Robert. “Modeling the integration of salamander vision and behavior.” 2009. Web. 26 May 2019.

Vancouver:

Begley JR. Modeling the integration of salamander vision and behavior. [Internet] [Doctoral dissertation]. University of Southern California; 2009. [cited 2019 May 26]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/242256/rec/4145.

Council of Science Editors:

Begley JR. Modeling the integration of salamander vision and behavior. [Doctoral Dissertation]. University of Southern California; 2009. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/242256/rec/4145


University of Southern California

2. Hsu, Chih-Chieh. Dendritic computation and plasticity in neuromorphic circuits.

Degree: PhD, Electrical Engineering, 2014, University of Southern California

 Biological dendrites are nonlinear computational units that are believed to be essential for neural signal processing and learning in a cortical neuron. We introduce fine-grained… (more)

Subjects/Keywords: neuromorphic engineering; dendritic computation; nanoelectronic circuits; hardware emulation

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APA (6th Edition):

Hsu, C. (2014). Dendritic computation and plasticity in neuromorphic circuits. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/487728/rec/1834

Chicago Manual of Style (16th Edition):

Hsu, Chih-Chieh. “Dendritic computation and plasticity in neuromorphic circuits.” 2014. Doctoral Dissertation, University of Southern California. Accessed May 26, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/487728/rec/1834.

MLA Handbook (7th Edition):

Hsu, Chih-Chieh. “Dendritic computation and plasticity in neuromorphic circuits.” 2014. Web. 26 May 2019.

Vancouver:

Hsu C. Dendritic computation and plasticity in neuromorphic circuits. [Internet] [Doctoral dissertation]. University of Southern California; 2014. [cited 2019 May 26]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/487728/rec/1834.

Council of Science Editors:

Hsu C. Dendritic computation and plasticity in neuromorphic circuits. [Doctoral Dissertation]. University of Southern California; 2014. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/487728/rec/1834


University of Southern California

3. Tokayer, Jason Michael. Contributions to structural and functional retinal imaging via Fourier domain optical coherence tomography.

Degree: PhD, Electrical Engineering, 2013, University of Southern California

 Optical coherence tomography (OCT) is a depth-resolved cross-sectional imaging modality capable of imaging biological tissue at the micron-scale in vivo. OCT has found widespread use… (more)

Subjects/Keywords: optical coherence tomography; biomedical image processing

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APA (6th Edition):

Tokayer, J. M. (2013). Contributions to structural and functional retinal imaging via Fourier domain optical coherence tomography. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/334273/rec/1635

Chicago Manual of Style (16th Edition):

Tokayer, Jason Michael. “Contributions to structural and functional retinal imaging via Fourier domain optical coherence tomography.” 2013. Doctoral Dissertation, University of Southern California. Accessed May 26, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/334273/rec/1635.

MLA Handbook (7th Edition):

Tokayer, Jason Michael. “Contributions to structural and functional retinal imaging via Fourier domain optical coherence tomography.” 2013. Web. 26 May 2019.

Vancouver:

Tokayer JM. Contributions to structural and functional retinal imaging via Fourier domain optical coherence tomography. [Internet] [Doctoral dissertation]. University of Southern California; 2013. [cited 2019 May 26]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/334273/rec/1635.

Council of Science Editors:

Tokayer JM. Contributions to structural and functional retinal imaging via Fourier domain optical coherence tomography. [Doctoral Dissertation]. University of Southern California; 2013. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/334273/rec/1635


University of Southern California

4. Behabadi, Bardia Fallah. Two-layer synaptic integration in pyramidal neurons.

Degree: PhD, Biomedical Engineering, 2011, University of Southern California

 Until recently, the accepted view of synaptic integration in most CNS neurons, including pyramidal neurons of the neocortex, has involved the vague notion that neurons… (more)

Subjects/Keywords: basal Dendrites; NMDA; pyramidal neurons; synaptic integration; compartmental modeling; electrophysiology

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APA (6th Edition):

Behabadi, B. F. (2011). Two-layer synaptic integration in pyramidal neurons. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/666680/rec/7632

Chicago Manual of Style (16th Edition):

Behabadi, Bardia Fallah. “Two-layer synaptic integration in pyramidal neurons.” 2011. Doctoral Dissertation, University of Southern California. Accessed May 26, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/666680/rec/7632.

MLA Handbook (7th Edition):

Behabadi, Bardia Fallah. “Two-layer synaptic integration in pyramidal neurons.” 2011. Web. 26 May 2019.

Vancouver:

Behabadi BF. Two-layer synaptic integration in pyramidal neurons. [Internet] [Doctoral dissertation]. University of Southern California; 2011. [cited 2019 May 26]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/666680/rec/7632.

Council of Science Editors:

Behabadi BF. Two-layer synaptic integration in pyramidal neurons. [Doctoral Dissertation]. University of Southern California; 2011. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/666680/rec/7632


University of Southern California

5. Rosen, Raphael Philip. The science and art of silhouettes: what squiggly lines teach us about face recognition, fine art, and astronomy.

Degree: MA, Specialized Journalism, 2011, University of Southern California

 Silhouettes have mesmerized people for centuries, appearing in 18th-century art as well as contemporary advertisements for mp3 players and basketball shoes. Silhouettes have also become… (more)

Subjects/Keywords: silhouettes; face recognition; black holes; Disneyland; Kara Walker; patterns; neuroscience; psychology; Edouart; Davidenko; fusiform face area; prosopagnosia; Oliver Sacks; Chuck Close; Viskontas; Isabel Gauthier; Event Horizon Telescope

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APA (6th Edition):

Rosen, R. P. (2011). The science and art of silhouettes: what squiggly lines teach us about face recognition, fine art, and astronomy. (Masters Thesis). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/668855/rec/7281

Chicago Manual of Style (16th Edition):

Rosen, Raphael Philip. “The science and art of silhouettes: what squiggly lines teach us about face recognition, fine art, and astronomy.” 2011. Masters Thesis, University of Southern California. Accessed May 26, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/668855/rec/7281.

MLA Handbook (7th Edition):

Rosen, Raphael Philip. “The science and art of silhouettes: what squiggly lines teach us about face recognition, fine art, and astronomy.” 2011. Web. 26 May 2019.

Vancouver:

Rosen RP. The science and art of silhouettes: what squiggly lines teach us about face recognition, fine art, and astronomy. [Internet] [Masters thesis]. University of Southern California; 2011. [cited 2019 May 26]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/668855/rec/7281.

Council of Science Editors:

Rosen RP. The science and art of silhouettes: what squiggly lines teach us about face recognition, fine art, and astronomy. [Masters Thesis]. University of Southern California; 2011. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/668855/rec/7281


University of Southern California

6. Kalinli, Ozlem. Biologically inspired auditory attention models with applications in speech and audio processing.

Degree: PhD, Electrical Engineering, 2009, University of Southern California

 Humans can precisely process and interpret complex scenes in real time despite the tremendous amount of stimuli impinging the senses and the limited resources of… (more)

Subjects/Keywords: auditory attention; auditory saliency map; auditory gist; bottom-up auditory attention; top-down auditory attention; prominence detection; attention shift decoding; acoustic scene classification

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APA (6th Edition):

Kalinli, O. (2009). Biologically inspired auditory attention models with applications in speech and audio processing. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/279506/rec/1119

Chicago Manual of Style (16th Edition):

Kalinli, Ozlem. “Biologically inspired auditory attention models with applications in speech and audio processing.” 2009. Doctoral Dissertation, University of Southern California. Accessed May 26, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/279506/rec/1119.

MLA Handbook (7th Edition):

Kalinli, Ozlem. “Biologically inspired auditory attention models with applications in speech and audio processing.” 2009. Web. 26 May 2019.

Vancouver:

Kalinli O. Biologically inspired auditory attention models with applications in speech and audio processing. [Internet] [Doctoral dissertation]. University of Southern California; 2009. [cited 2019 May 26]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/279506/rec/1119.

Council of Science Editors:

Kalinli O. Biologically inspired auditory attention models with applications in speech and audio processing. [Doctoral Dissertation]. University of Southern California; 2009. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/279506/rec/1119


University of Southern California

7. Lee, Junkwan. Human visual perception of centers of optic flows.

Degree: PhD, Biomedical Engineering, 2013, University of Southern California

 Optic flow contains rich information about the relative motion between an observer and the world, and three dimensional layout of the environment. Elementary flows such… (more)

Subjects/Keywords: optic flow; expansion; rotation; visual motion

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APA (6th Edition):

Lee, J. (2013). Human visual perception of centers of optic flows. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/20032/rec/3280

Chicago Manual of Style (16th Edition):

Lee, Junkwan. “Human visual perception of centers of optic flows.” 2013. Doctoral Dissertation, University of Southern California. Accessed May 26, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/20032/rec/3280.

MLA Handbook (7th Edition):

Lee, Junkwan. “Human visual perception of centers of optic flows.” 2013. Web. 26 May 2019.

Vancouver:

Lee J. Human visual perception of centers of optic flows. [Internet] [Doctoral dissertation]. University of Southern California; 2013. [cited 2019 May 26]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/20032/rec/3280.

Council of Science Editors:

Lee J. Human visual perception of centers of optic flows. [Doctoral Dissertation]. University of Southern California; 2013. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/20032/rec/3280


University of Southern California

8. Raskob, Benjamin L. A frequency-based mathematical model of binocular complex cell responses.

Degree: PhD, Electrical Engineering, 2012, University of Southern California

 We introduce a new biologically-inspired method for determining binocular disparity from stereo imagery by measuring Disparity Phase Interference (DPI), a sinusoidal pattern created in the… (more)

Subjects/Keywords: binocular; border ownership; energy model; neuron; stereo; wavelet

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APA (6th Edition):

Raskob, B. L. (2012). A frequency-based mathematical model of binocular complex cell responses. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/204014/rec/194

Chicago Manual of Style (16th Edition):

Raskob, Benjamin L. “A frequency-based mathematical model of binocular complex cell responses.” 2012. Doctoral Dissertation, University of Southern California. Accessed May 26, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/204014/rec/194.

MLA Handbook (7th Edition):

Raskob, Benjamin L. “A frequency-based mathematical model of binocular complex cell responses.” 2012. Web. 26 May 2019.

Vancouver:

Raskob BL. A frequency-based mathematical model of binocular complex cell responses. [Internet] [Doctoral dissertation]. University of Southern California; 2012. [cited 2019 May 26]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/204014/rec/194.

Council of Science Editors:

Raskob BL. A frequency-based mathematical model of binocular complex cell responses. [Doctoral Dissertation]. University of Southern California; 2012. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/204014/rec/194


University of Southern California

9. Ramachandra, Chaithanya Amai. Learning contour statistics from natural images.

Degree: PhD, Biomedical Engineering, 2012, University of Southern California

 Vision is one of our most important senses, and accordingly, a large fraction of our cerebral cortex is devoted to visual processing.One of the key… (more)

Subjects/Keywords: edge detection; natural image statistics; contour extraction; Bayesian inference; image enhancement

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APA (6th Edition):

Ramachandra, C. A. (2012). Learning contour statistics from natural images. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/109436/rec/3777

Chicago Manual of Style (16th Edition):

Ramachandra, Chaithanya Amai. “Learning contour statistics from natural images.” 2012. Doctoral Dissertation, University of Southern California. Accessed May 26, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/109436/rec/3777.

MLA Handbook (7th Edition):

Ramachandra, Chaithanya Amai. “Learning contour statistics from natural images.” 2012. Web. 26 May 2019.

Vancouver:

Ramachandra CA. Learning contour statistics from natural images. [Internet] [Doctoral dissertation]. University of Southern California; 2012. [cited 2019 May 26]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/109436/rec/3777.

Council of Science Editors:

Ramachandra CA. Learning contour statistics from natural images. [Doctoral Dissertation]. University of Southern California; 2012. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/109436/rec/3777


University of Southern California

10. Jadi, Monika P. Excitatory-inhibitory interactions in pyramidal neurons.

Degree: PhD, Biomedical Engineering, 2010, University of Southern California

 To understand how information is processed in neocortical circuits, it is crucial to map out in detail the role played by the individual neurons in… (more)

Subjects/Keywords: inhibition dendritic computation; pyramidal neurons; modulation of firing rates

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APA (6th Edition):

Jadi, M. P. (2010). Excitatory-inhibitory interactions in pyramidal neurons. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/351119/rec/2601

Chicago Manual of Style (16th Edition):

Jadi, Monika P. “Excitatory-inhibitory interactions in pyramidal neurons.” 2010. Doctoral Dissertation, University of Southern California. Accessed May 26, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/351119/rec/2601.

MLA Handbook (7th Edition):

Jadi, Monika P. “Excitatory-inhibitory interactions in pyramidal neurons.” 2010. Web. 26 May 2019.

Vancouver:

Jadi MP. Excitatory-inhibitory interactions in pyramidal neurons. [Internet] [Doctoral dissertation]. University of Southern California; 2010. [cited 2019 May 26]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/351119/rec/2601.

Council of Science Editors:

Jadi MP. Excitatory-inhibitory interactions in pyramidal neurons. [Doctoral Dissertation]. University of Southern California; 2010. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/351119/rec/2601


University of Southern California

11. Xu, Xiaokun. The neural correlates of face recognition.

Degree: PhD, Psychology, 2013, University of Southern California

 Humans are exceptionally good at face recognition. Within a fraction of a second, we not only detect the presence of a face, but also determine… (more)

Subjects/Keywords: configural effect; prosopagnosia; fMRI; face identification; FFA

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APA (6th Edition):

Xu, X. (2013). The neural correlates of face recognition. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/299793/rec/7014

Chicago Manual of Style (16th Edition):

Xu, Xiaokun. “The neural correlates of face recognition.” 2013. Doctoral Dissertation, University of Southern California. Accessed May 26, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/299793/rec/7014.

MLA Handbook (7th Edition):

Xu, Xiaokun. “The neural correlates of face recognition.” 2013. Web. 26 May 2019.

Vancouver:

Xu X. The neural correlates of face recognition. [Internet] [Doctoral dissertation]. University of Southern California; 2013. [cited 2019 May 26]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/299793/rec/7014.

Council of Science Editors:

Xu X. The neural correlates of face recognition. [Doctoral Dissertation]. University of Southern California; 2013. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/299793/rec/7014


University of Southern California

12. Wei, Yichun. A novel neuronal mechanism for temporal order discrimination.

Degree: PhD, Neuroscience, 2011, University of Southern California

 Natural signals often flow systematically across an array of biological sensors (e.g. the pattern of optic flow on the retina), leading to ordered stimulation of… (more)

Subjects/Keywords: temporal order; neuronal mechanism; NMDA; dendrite

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APA (6th Edition):

Wei, Y. (2011). A novel neuronal mechanism for temporal order discrimination. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/216127/rec/286

Chicago Manual of Style (16th Edition):

Wei, Yichun. “A novel neuronal mechanism for temporal order discrimination.” 2011. Doctoral Dissertation, University of Southern California. Accessed May 26, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/216127/rec/286.

MLA Handbook (7th Edition):

Wei, Yichun. “A novel neuronal mechanism for temporal order discrimination.” 2011. Web. 26 May 2019.

Vancouver:

Wei Y. A novel neuronal mechanism for temporal order discrimination. [Internet] [Doctoral dissertation]. University of Southern California; 2011. [cited 2019 May 26]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/216127/rec/286.

Council of Science Editors:

Wei Y. A novel neuronal mechanism for temporal order discrimination. [Doctoral Dissertation]. University of Southern California; 2011. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/216127/rec/286


University of Southern California

13. Wu, Xundong. Optimizing online learning capacity in a biologically-inspired neural network.

Degree: PhD, Neuroscience, 2011, University of Southern California

 To function well in a complex world, our brains must somehow stream our everyday experiences into memory in real time as they occur. An ""episodic""… (more)

Subjects/Keywords: AMPA; NMDA; learning and memory; dendrite; palimpsest memory; online learning; episodic memory; Ubiquitin; brain physiology; computer simulation; dendrites physiology; mathematics; memory physiology; model; neuronal plasticity; neural physiology; synapse physiology

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APA (6th Edition):

Wu, X. (2011). Optimizing online learning capacity in a biologically-inspired neural network. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/618330/rec/4612

Chicago Manual of Style (16th Edition):

Wu, Xundong. “Optimizing online learning capacity in a biologically-inspired neural network.” 2011. Doctoral Dissertation, University of Southern California. Accessed May 26, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/618330/rec/4612.

MLA Handbook (7th Edition):

Wu, Xundong. “Optimizing online learning capacity in a biologically-inspired neural network.” 2011. Web. 26 May 2019.

Vancouver:

Wu X. Optimizing online learning capacity in a biologically-inspired neural network. [Internet] [Doctoral dissertation]. University of Southern California; 2011. [cited 2019 May 26]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/618330/rec/4612.

Council of Science Editors:

Wu X. Optimizing online learning capacity in a biologically-inspired neural network. [Doctoral Dissertation]. University of Southern California; 2011. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/618330/rec/4612


University of Southern California

14. Lescroart, Mark Daniel. The representation of medial axes in the perception of shape.

Degree: PhD, Neuroscience, 2011, University of Southern California

 Aristotle famously said that vision is “to know what is where, by looking”—but that is not the whole story. Vision is also to know what… (more)

Subjects/Keywords: vision; medial axis; object recognition; fMRI; mental rotation; multi-voxel pattern classification

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APA (6th Edition):

Lescroart, M. D. (2011). The representation of medial axes in the perception of shape. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/430629/rec/7170

Chicago Manual of Style (16th Edition):

Lescroart, Mark Daniel. “The representation of medial axes in the perception of shape.” 2011. Doctoral Dissertation, University of Southern California. Accessed May 26, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/430629/rec/7170.

MLA Handbook (7th Edition):

Lescroart, Mark Daniel. “The representation of medial axes in the perception of shape.” 2011. Web. 26 May 2019.

Vancouver:

Lescroart MD. The representation of medial axes in the perception of shape. [Internet] [Doctoral dissertation]. University of Southern California; 2011. [cited 2019 May 26]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/430629/rec/7170.

Council of Science Editors:

Lescroart MD. The representation of medial axes in the perception of shape. [Doctoral Dissertation]. University of Southern California; 2011. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/430629/rec/7170


University of Southern California

15. Kite, Lawrence Marc. The importance of not being mean: DFM  – a norm-referenced data model for face pattern recognition.

Degree: PhD, Computer Science, 2009, University of Southern California

 A successful, mature system for face recognition, Elastic Bunch Graph Matching, represents a human face as a graph in which nodes are labeled with double… (more)

Subjects/Keywords: face recognition; face representation; face processing; face information

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APA (6th Edition):

Kite, L. M. (2009). The importance of not being mean: DFM  – a norm-referenced data model for face pattern recognition. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/240048/rec/6857

Chicago Manual of Style (16th Edition):

Kite, Lawrence Marc. “The importance of not being mean: DFM  – a norm-referenced data model for face pattern recognition.” 2009. Doctoral Dissertation, University of Southern California. Accessed May 26, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/240048/rec/6857.

MLA Handbook (7th Edition):

Kite, Lawrence Marc. “The importance of not being mean: DFM  – a norm-referenced data model for face pattern recognition.” 2009. Web. 26 May 2019.

Vancouver:

Kite LM. The importance of not being mean: DFM  – a norm-referenced data model for face pattern recognition. [Internet] [Doctoral dissertation]. University of Southern California; 2009. [cited 2019 May 26]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/240048/rec/6857.

Council of Science Editors:

Kite LM. The importance of not being mean: DFM  – a norm-referenced data model for face pattern recognition. [Doctoral Dissertation]. University of Southern California; 2009. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/240048/rec/6857


University of Southern California

16. Achiro, Jennifer McGrady. Neural mechanisms of sensorimotor learning in cortico-basal ganglia pathways.

Degree: PhD, Neuroscience, 2015, University of Southern California

 For over 70 years the study of vocal learning in songbirds, pioneered by William Thorpe and Peter Marler, has been transformative in the research of… (more)

Subjects/Keywords: motor learning; cortico-basal ganglia; sensorimotor integration

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

APA (6th Edition):

Achiro, J. M. (2015). Neural mechanisms of sensorimotor learning in cortico-basal ganglia pathways. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/345172/rec/4365

Chicago Manual of Style (16th Edition):

Achiro, Jennifer McGrady. “Neural mechanisms of sensorimotor learning in cortico-basal ganglia pathways.” 2015. Doctoral Dissertation, University of Southern California. Accessed May 26, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/345172/rec/4365.

MLA Handbook (7th Edition):

Achiro, Jennifer McGrady. “Neural mechanisms of sensorimotor learning in cortico-basal ganglia pathways.” 2015. Web. 26 May 2019.

Vancouver:

Achiro JM. Neural mechanisms of sensorimotor learning in cortico-basal ganglia pathways. [Internet] [Doctoral dissertation]. University of Southern California; 2015. [cited 2019 May 26]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/345172/rec/4365.

Council of Science Editors:

Achiro JM. Neural mechanisms of sensorimotor learning in cortico-basal ganglia pathways. [Doctoral Dissertation]. University of Southern California; 2015. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/345172/rec/4365


University of Southern California

17. Hayworth, Kenneth Jeffrey. Explicit encoding of spatial relations in the human visual system: evidence from functional neuroimaging.

Degree: PhD, Neuroscience, 2009, University of Southern California

 Converging evidence from behavioral, ERP, and single unit studies, as well as computational modeling, supports a “standard model” of the visual system in which ventral… (more)

Subjects/Keywords: object recognition; spatial relations; MRI; lateral occipital complex

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

APA (6th Edition):

Hayworth, K. J. (2009). Explicit encoding of spatial relations in the human visual system: evidence from functional neuroimaging. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/274277/rec/2642

Chicago Manual of Style (16th Edition):

Hayworth, Kenneth Jeffrey. “Explicit encoding of spatial relations in the human visual system: evidence from functional neuroimaging.” 2009. Doctoral Dissertation, University of Southern California. Accessed May 26, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/274277/rec/2642.

MLA Handbook (7th Edition):

Hayworth, Kenneth Jeffrey. “Explicit encoding of spatial relations in the human visual system: evidence from functional neuroimaging.” 2009. Web. 26 May 2019.

Vancouver:

Hayworth KJ. Explicit encoding of spatial relations in the human visual system: evidence from functional neuroimaging. [Internet] [Doctoral dissertation]. University of Southern California; 2009. [cited 2019 May 26]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/274277/rec/2642.

Council of Science Editors:

Hayworth KJ. Explicit encoding of spatial relations in the human visual system: evidence from functional neuroimaging. [Doctoral Dissertation]. University of Southern California; 2009. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/274277/rec/2642


University of Southern California

18. Wang, Xin. Sensory information processing by retinothalamic neural circuits.

Degree: PhD, Neuroscience, 2010, University of Southern California

 In the mammalian visual system, sensory information captured by the retina is routed through the lateral geniculate nucleus (LGN) of the thalamus before reaching the… (more)

Subjects/Keywords: retina; thalamus; lateral geniculate nucleus; receptive field; neural coding; GABAergic; inhibition; interneuron; information theory

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

APA (6th Edition):

Wang, X. (2010). Sensory information processing by retinothalamic neural circuits. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/292270/rec/5794

Chicago Manual of Style (16th Edition):

Wang, Xin. “Sensory information processing by retinothalamic neural circuits.” 2010. Doctoral Dissertation, University of Southern California. Accessed May 26, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/292270/rec/5794.

MLA Handbook (7th Edition):

Wang, Xin. “Sensory information processing by retinothalamic neural circuits.” 2010. Web. 26 May 2019.

Vancouver:

Wang X. Sensory information processing by retinothalamic neural circuits. [Internet] [Doctoral dissertation]. University of Southern California; 2010. [cited 2019 May 26]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/292270/rec/5794.

Council of Science Editors:

Wang X. Sensory information processing by retinothalamic neural circuits. [Doctoral Dissertation]. University of Southern California; 2010. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/292270/rec/5794


University of Southern California

19. Cao, Xiwu. Encoding of natural images by retinal ganglion cells.

Degree: PhD, Biomedical Engineering, 2010, University of Southern California

 Natural scenes have many special statistical properties that have shaped our visual system through natural evolution. It may thus be necessary to use natural images… (more)

Subjects/Keywords: retinal ganglion cell; natural image; visual receptive field; contrast; spatial context; adaptation; nonlinear model; surround inhibition

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

APA (6th Edition):

Cao, X. (2010). Encoding of natural images by retinal ganglion cells. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/313816/rec/2338

Chicago Manual of Style (16th Edition):

Cao, Xiwu. “Encoding of natural images by retinal ganglion cells.” 2010. Doctoral Dissertation, University of Southern California. Accessed May 26, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/313816/rec/2338.

MLA Handbook (7th Edition):

Cao, Xiwu. “Encoding of natural images by retinal ganglion cells.” 2010. Web. 26 May 2019.

Vancouver:

Cao X. Encoding of natural images by retinal ganglion cells. [Internet] [Doctoral dissertation]. University of Southern California; 2010. [cited 2019 May 26]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/313816/rec/2338.

Council of Science Editors:

Cao X. Encoding of natural images by retinal ganglion cells. [Doctoral Dissertation]. University of Southern California; 2010. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/313816/rec/2338


University of Southern California

20. Yue, Xiaomin. The neural representation of faces.

Degree: PhD, Psychology, 2007, University of Southern California

 What is the nature of the representation of faces and objects that results in the striking behavioral differences in their recognition? Biederman & Kalocsai (1997)… (more)

Subjects/Keywords: face recognition; fMRI; neural representation; object recognition; perception

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

APA (6th Edition):

Yue, X. (2007). The neural representation of faces. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/505750/rec/7016

Chicago Manual of Style (16th Edition):

Yue, Xiaomin. “The neural representation of faces.” 2007. Doctoral Dissertation, University of Southern California. Accessed May 26, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/505750/rec/7016.

MLA Handbook (7th Edition):

Yue, Xiaomin. “The neural representation of faces.” 2007. Web. 26 May 2019.

Vancouver:

Yue X. The neural representation of faces. [Internet] [Doctoral dissertation]. University of Southern California; 2007. [cited 2019 May 26]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/505750/rec/7016.

Council of Science Editors:

Yue X. The neural representation of faces. [Doctoral Dissertation]. University of Southern California; 2007. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/505750/rec/7016


University of Southern California

21. Chatterjee, Susmita. Dependence of rabbit retinal synchrony on visual stimulation parameters.

Degree: PhD, Biomedical Engineering, 2008, University of Southern California

 Neighboring retinal ganglion cells often spike synchronously, but the possible function and mechanism of this synchrony is unclear. Recently, the strength of the fast correlation… (more)

Subjects/Keywords: rabbit-retina; ganglion cells; synchrony; stimulus-dependent; amacrine-cell network

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

APA (6th Edition):

Chatterjee, S. (2008). Dependence of rabbit retinal synchrony on visual stimulation parameters. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/80753/rec/1839

Chicago Manual of Style (16th Edition):

Chatterjee, Susmita. “Dependence of rabbit retinal synchrony on visual stimulation parameters.” 2008. Doctoral Dissertation, University of Southern California. Accessed May 26, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/80753/rec/1839.

MLA Handbook (7th Edition):

Chatterjee, Susmita. “Dependence of rabbit retinal synchrony on visual stimulation parameters.” 2008. Web. 26 May 2019.

Vancouver:

Chatterjee S. Dependence of rabbit retinal synchrony on visual stimulation parameters. [Internet] [Doctoral dissertation]. University of Southern California; 2008. [cited 2019 May 26]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/80753/rec/1839.

Council of Science Editors:

Chatterjee S. Dependence of rabbit retinal synchrony on visual stimulation parameters. [Doctoral Dissertation]. University of Southern California; 2008. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/80753/rec/1839

.