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Bartlett W. Mel
My research interests lie at the interface between "computational
neuroscience" and "neural engineering". Questions of computational
neuroscience tend to be of the form, "How does the brain perform this
particular function, or solve this particular problem?" Neural
engineering is about finding solutions to difficult engineering
problems, such as the goal to make machines see, move, think, or
understand language---but specifically drawing inspiration from the
structure and function of the brain. I have had two main research goals
over the past several years, which have often mixed both scientific and
engineering components. These goals are (1) to understand the
remarkable image-processing functions of visual cortex (e.g. extracting
contours, achieving color constancy, recognizing objects) and (2) to
understand the information processing and memory-related functions of
individual neurons and their dendrites. You can learn more about these
topics here . I teach both the
undergraduate (BME
402) and graduate (BME 502) neuroscience courses in the BME
department.
Email: mel@usc.edu
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Albert Lai
I am a Ph.D. student in the Department of Biomedical Engineering at
USC. I'm interested in our incredible human ability to recognize
objects invariant of their position, scale, and viewpoint. I am working on a
biologically inspired approach to 3D object recognition by studying
invariant features of objects and using nested Kohonen Neural Networks to
learn these features.
Email: AlbertLA@usc.edu
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Bardia Behabadi
I am a Ph.D. student in the Department of Biomedical Engineering at
USC. I am interested in the neural computations taking place in
dendrites of cortical neurons and how these computations might
implement the repertoire of functions performed in various brain areas,
e.g., contour extraction in the visual system. I am currently
investigating NMDA-dependent nonlinear synaptic integration in a
biophysically detailed compartmental model of a pyramidal CA1 cell.
Email: behabadi@usc.edu
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