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You searched for +publisher:"University of Southern California" +contributor:("Hirsch, Judith A."). Showing records 1 – 14 of 14 total matches.

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University of Southern California

1. 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 January 21, 2020. 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. 21 Jan 2020.

Vancouver:

Behabadi BF. Two-layer synaptic integration in pyramidal neurons. [Internet] [Doctoral dissertation]. University of Southern California; 2011. [cited 2020 Jan 21]. 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

2. Ivzan, Nadav. A probabilistic model predicting retinal ganglion cell responses to natural stimuli.

Degree: PhD, Biomedical Engineering, 2015, University of Southern California

 Developing computational models that predict the spiking responses of neurons is important to understand how the brain functions, and cure neuronal diseases. In the first… (more)

Subjects/Keywords: retina; electophysiology; natural images; vision; computational modeling

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APA (6th Edition):

Ivzan, N. (2015). A probabilistic model predicting retinal ganglion cell responses to natural stimuli. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/548002/rec/309

Chicago Manual of Style (16th Edition):

Ivzan, Nadav. “A probabilistic model predicting retinal ganglion cell responses to natural stimuli.” 2015. Doctoral Dissertation, University of Southern California. Accessed January 21, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/548002/rec/309.

MLA Handbook (7th Edition):

Ivzan, Nadav. “A probabilistic model predicting retinal ganglion cell responses to natural stimuli.” 2015. Web. 21 Jan 2020.

Vancouver:

Ivzan N. A probabilistic model predicting retinal ganglion cell responses to natural stimuli. [Internet] [Doctoral dissertation]. University of Southern California; 2015. [cited 2020 Jan 21]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/548002/rec/309.

Council of Science Editors:

Ivzan N. A probabilistic model predicting retinal ganglion cell responses to natural stimuli. [Doctoral Dissertation]. University of Southern California; 2015. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/548002/rec/309


University of Southern California

3. Bao, Pinglei. Functional models of fMRI BOLD signal in the visual cortex.

Degree: PhD, Neuroscience, 2014, University of Southern California

 Functional magnetic resonance imaging (fMRI) is a functional imaging procedure that measures the neural activity by detecting the associate changes in the blood flow. It… (more)

Subjects/Keywords: fMRI; models; visual cortex

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APA (6th Edition):

Bao, P. (2014). Functional models of fMRI BOLD signal in the visual cortex. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/382903/rec/2939

Chicago Manual of Style (16th Edition):

Bao, Pinglei. “Functional models of fMRI BOLD signal in the visual cortex.” 2014. Doctoral Dissertation, University of Southern California. Accessed January 21, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/382903/rec/2939.

MLA Handbook (7th Edition):

Bao, Pinglei. “Functional models of fMRI BOLD signal in the visual cortex.” 2014. Web. 21 Jan 2020.

Vancouver:

Bao P. Functional models of fMRI BOLD signal in the visual cortex. [Internet] [Doctoral dissertation]. University of Southern California; 2014. [cited 2020 Jan 21]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/382903/rec/2939.

Council of Science Editors:

Bao P. Functional models of fMRI BOLD signal in the visual cortex. [Doctoral Dissertation]. University of Southern California; 2014. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/382903/rec/2939


University of Southern California

4. Chan, Lai Hang Leanne. Electrical stimulation of degenerate retina.

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

 Retinitis Pigmentosa,(RP) is a blinding disease characterized by massive and progressive reductions in the population of photoreceptor cells, result in losing night vision, followed severely… (more)

Subjects/Keywords: electrical stimulation; degenerate retina; impedance sensing; tissue-electrode interface; electrophysiology; immunocytochemistry; ganglion cell density; threshold charge density

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APA (6th Edition):

Chan, L. H. L. (2009). Electrical stimulation of degenerate retina. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/564374/rec/2263

Chicago Manual of Style (16th Edition):

Chan, Lai Hang Leanne. “Electrical stimulation of degenerate retina.” 2009. Doctoral Dissertation, University of Southern California. Accessed January 21, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/564374/rec/2263.

MLA Handbook (7th Edition):

Chan, Lai Hang Leanne. “Electrical stimulation of degenerate retina.” 2009. Web. 21 Jan 2020.

Vancouver:

Chan LHL. Electrical stimulation of degenerate retina. [Internet] [Doctoral dissertation]. University of Southern California; 2009. [cited 2020 Jan 21]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/564374/rec/2263.

Council of Science Editors:

Chan LHL. Electrical stimulation of degenerate retina. [Doctoral Dissertation]. University of Southern California; 2009. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/564374/rec/2263


University of Southern California

5. Vaingankar, Vishal S. Visual information processing by the feedforward and feedback inputs to the lateral geniculate nucleus.

Degree: PhD, Neuroscience, 2012, University of Southern California

 All the visual information captured by the retina is relayed through the visual thalamus before reaching the cortex. Traditionally the lateral geniculate nucleus (LGN) has… (more)

Subjects/Keywords: lateral geniculate nucleus; perigeniculate nucleus; feedback inhibition; thalamic reticular nucleus

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APA (6th Edition):

Vaingankar, V. S. (2012). Visual information processing by the feedforward and feedback inputs to the lateral geniculate nucleus. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/458626/rec/7836

Chicago Manual of Style (16th Edition):

Vaingankar, Vishal S. “Visual information processing by the feedforward and feedback inputs to the lateral geniculate nucleus.” 2012. Doctoral Dissertation, University of Southern California. Accessed January 21, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/458626/rec/7836.

MLA Handbook (7th Edition):

Vaingankar, Vishal S. “Visual information processing by the feedforward and feedback inputs to the lateral geniculate nucleus.” 2012. Web. 21 Jan 2020.

Vancouver:

Vaingankar VS. Visual information processing by the feedforward and feedback inputs to the lateral geniculate nucleus. [Internet] [Doctoral dissertation]. University of Southern California; 2012. [cited 2020 Jan 21]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/458626/rec/7836.

Council of Science Editors:

Vaingankar VS. Visual information processing by the feedforward and feedback inputs to the lateral geniculate nucleus. [Doctoral Dissertation]. University of Southern California; 2012. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/458626/rec/7836


University of Southern California

6. Rapela, Joaquín. Characterization of visual cells using generic models and natural stimuli.

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

 Traditionally visual cells have been characterized using their responses to artificial stimuli by simple parametric models. However, recent investigations show that visual cells adapt to… (more)

Subjects/Keywords: non-parametric models; natural images; curse of dimensionality

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APA (6th Edition):

Rapela, J. (2010). Characterization of visual cells using generic models and natural stimuli. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/387184/rec/1314

Chicago Manual of Style (16th Edition):

Rapela, Joaquín. “Characterization of visual cells using generic models and natural stimuli.” 2010. Doctoral Dissertation, University of Southern California. Accessed January 21, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/387184/rec/1314.

MLA Handbook (7th Edition):

Rapela, Joaquín. “Characterization of visual cells using generic models and natural stimuli.” 2010. Web. 21 Jan 2020.

Vancouver:

Rapela J. Characterization of visual cells using generic models and natural stimuli. [Internet] [Doctoral dissertation]. University of Southern California; 2010. [cited 2020 Jan 21]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/387184/rec/1314.

Council of Science Editors:

Rapela J. Characterization of visual cells using generic models and natural stimuli. [Doctoral Dissertation]. University of Southern California; 2010. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/387184/rec/1314


University of Southern California

7. 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 January 21, 2020. 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. 21 Jan 2020.

Vancouver:

Wei Y. A novel neuronal mechanism for temporal order discrimination. [Internet] [Doctoral dissertation]. University of Southern California; 2011. [cited 2020 Jan 21]. 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

8. 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 (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 January 21, 2020. 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. 21 Jan 2020.

Vancouver:

Wang X. Sensory information processing by retinothalamic neural circuits. [Internet] [Doctoral dissertation]. University of Southern California; 2010. [cited 2020 Jan 21]. 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

9. 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 (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 January 21, 2020. 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. 21 Jan 2020.

Vancouver:

Cao X. Encoding of natural images by retinal ganglion cells. [Internet] [Doctoral dissertation]. University of Southern California; 2010. [cited 2020 Jan 21]. 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

10. Liu, Jiajuan. Mode of visual perceptual learning: augmented Hebbian learning explains the function of feedback and beyond.

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

 This thesis concerns the augmented Hebbian reweighting model (AHRM) in perceptual learning. The development of AHRM was inspired by two sets of research endeavors: first,… (more)

Subjects/Keywords: perceptual learning; augmented Hebbian re-weighting; feedback; psychophysics

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APA (6th Edition):

Liu, J. (2011). Mode of visual perceptual learning: augmented Hebbian learning explains the function of feedback and beyond. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/630039/rec/4104

Chicago Manual of Style (16th Edition):

Liu, Jiajuan. “Mode of visual perceptual learning: augmented Hebbian learning explains the function of feedback and beyond.” 2011. Doctoral Dissertation, University of Southern California. Accessed January 21, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/630039/rec/4104.

MLA Handbook (7th Edition):

Liu, Jiajuan. “Mode of visual perceptual learning: augmented Hebbian learning explains the function of feedback and beyond.” 2011. Web. 21 Jan 2020.

Vancouver:

Liu J. Mode of visual perceptual learning: augmented Hebbian learning explains the function of feedback and beyond. [Internet] [Doctoral dissertation]. University of Southern California; 2011. [cited 2020 Jan 21]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/630039/rec/4104.

Council of Science Editors:

Liu J. Mode of visual perceptual learning: augmented Hebbian learning explains the function of feedback and beyond. [Doctoral Dissertation]. University of Southern California; 2011. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/630039/rec/4104


University of Southern California

11. Rapp, Kimberly L. Energy & balance: the role of hindbrain catecholaminergic afferent projections to the hypothalamus.

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

 The word homeostasis is derived from the Greek hómos “similar” and histemi “standing still”. It is used to describe a general concept of environmental stability… (more)

Subjects/Keywords: hypothalamus; hindbrain; catecholaminergic; saporin; corticosterone; corticotropin-releasing hormone; paraventricular nucleus of the hypothalamus

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APA (6th Edition):

Rapp, K. L. (2009). Energy & balance: the role of hindbrain catecholaminergic afferent projections to the hypothalamus. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/282037/rec/2346

Chicago Manual of Style (16th Edition):

Rapp, Kimberly L. “Energy & balance: the role of hindbrain catecholaminergic afferent projections to the hypothalamus.” 2009. Doctoral Dissertation, University of Southern California. Accessed January 21, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/282037/rec/2346.

MLA Handbook (7th Edition):

Rapp, Kimberly L. “Energy & balance: the role of hindbrain catecholaminergic afferent projections to the hypothalamus.” 2009. Web. 21 Jan 2020.

Vancouver:

Rapp KL. Energy & balance: the role of hindbrain catecholaminergic afferent projections to the hypothalamus. [Internet] [Doctoral dissertation]. University of Southern California; 2009. [cited 2020 Jan 21]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/282037/rec/2346.

Council of Science Editors:

Rapp KL. Energy & balance: the role of hindbrain catecholaminergic afferent projections to the hypothalamus. [Doctoral Dissertation]. University of Southern California; 2009. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/282037/rec/2346


University of Southern California

12. Arman, Arvin Cyrus. Sensitivity and dynamic range of rod pathways in the mammalian retina.

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

 Nearly all sensory systems must find a way to represent a wide range of input signals and translate them into meaningful neural responses. The human… (more)

Subjects/Keywords: neuroscience; retina; scotopic; photoreceptors; circuitry

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APA (6th Edition):

Arman, A. C. (2010). Sensitivity and dynamic range of rod pathways in the mammalian retina. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/368115/rec/5793

Chicago Manual of Style (16th Edition):

Arman, Arvin Cyrus. “Sensitivity and dynamic range of rod pathways in the mammalian retina.” 2010. Doctoral Dissertation, University of Southern California. Accessed January 21, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/368115/rec/5793.

MLA Handbook (7th Edition):

Arman, Arvin Cyrus. “Sensitivity and dynamic range of rod pathways in the mammalian retina.” 2010. Web. 21 Jan 2020.

Vancouver:

Arman AC. Sensitivity and dynamic range of rod pathways in the mammalian retina. [Internet] [Doctoral dissertation]. University of Southern California; 2010. [cited 2020 Jan 21]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/368115/rec/5793.

Council of Science Editors:

Arman AC. Sensitivity and dynamic range of rod pathways in the mammalian retina. [Doctoral Dissertation]. University of Southern California; 2010. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/368115/rec/5793


University of Southern California

13. Chu, Wilson. Temporal dynamics of perceptual decision.

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

 We combined the external noise method (1) with the cue-to-respond speed accuracy trade-off (SAT) paradigm (2) to characterize the temporal dynamics of perceptual decision making.… (more)

Subjects/Keywords: perceptual decision; perceptual learning; psychophysics

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APA (6th Edition):

Chu, W. (2010). Temporal dynamics of perceptual decision. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/52002/rec/6385

Chicago Manual of Style (16th Edition):

Chu, Wilson. “Temporal dynamics of perceptual decision.” 2010. Doctoral Dissertation, University of Southern California. Accessed January 21, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/52002/rec/6385.

MLA Handbook (7th Edition):

Chu, Wilson. “Temporal dynamics of perceptual decision.” 2010. Web. 21 Jan 2020.

Vancouver:

Chu W. Temporal dynamics of perceptual decision. [Internet] [Doctoral dissertation]. University of Southern California; 2010. [cited 2020 Jan 21]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/52002/rec/6385.

Council of Science Editors:

Chu W. Temporal dynamics of perceptual decision. [Doctoral Dissertation]. University of Southern California; 2010. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/52002/rec/6385


University of Southern California

14. 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 (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 January 21, 2020. 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. 21 Jan 2020.

Vancouver:

Chatterjee S. Dependence of rabbit retinal synchrony on visual stimulation parameters. [Internet] [Doctoral dissertation]. University of Southern California; 2008. [cited 2020 Jan 21]. 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

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