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Publications
Frady, E.P., Yudice, J., Konanur, V., Todd, K.L., French, K.A., Kristan, W.B. (submitted). Shunting and inhibitory currents co-regulate the input-output function of an identified leech neuron.
Frady, E.P., Kristan, W.B. (2013). Computation with Population Codes. In: Jaeger D., Jung R. (Ed.) Encyclopedia of Computational Neuroscience: Springer Reference (www.springerreference.com). Springer-Verlag Berlin Heidelberg, 2013. DOI: 10.1007/SpringerReference_348400 2013-12-13 15:21:42 UTC (pdf)
Frady, E.P., Palmer, C.R., Kristan, W.B. (2012). Sexual Attraction: Sex-Specific Wiring of Neural Circuitry. Current Biology 22(22): R953-R956. (pdf)
Miller, E.W., Lin, J.Y., Frady, E.P., Steinbach, P.A., Kristan, W.B., Tsien, R.Y. (2012). Optically monitoring voltage in neurons by photo-induced electron transfer through molecular wires. PNAS 109(6): 2114-2119. (pdf)
Cerf, M., Frady, E.P., Koch, C. (2009). Faces and text attract gaze independent of task: Experimental Data and Computer Model. Journal of Vision 9(12): 1-15. (pdf)
Cerf, M., Frady, E.P., Koch, C. (2008). Using semantic content as cues for better scanpath prediction. ETRA 143-146. (pdf)
Einhauser, W., Rutishauser, U., Frady, E.P., Nadler S., Konig, P., Koch, C. (2006). The relation of phase noise and luminance contrast to overt attention in complex visual stimuli. Journal of Vision 6:1148-58. (pdf)
Honors & Fellowships
Featured Speaker CNS 2012 Atlanta GA. "Inferring Homologous Cells Across Animals to Analyze Neural Circuits" (abstract) | 2012 |
INC Cognitive Neuroscience Fellowship | 2011-2012 |
UCSD Interfaces Fellowship | 2009-2011 |
NSF GRFP Honorable Mention | 2009, 2010 |
Frank W. Wood SURF Fellow | 2007 |
Summer Undergraduate Research Fellowship | 2006, 2007 |
Teaching Experience
Neural Systems & BehaviorI have been developing Voltage-Sensitive Dye imaging as part of the Neural Systems and Behavior Leech Cycle at the Marine Biological Laboratory. Students get hands-on experience with VSD imaging in the leech ganglion, and I teach the fundamentals of imaging as well as advanced techniques in computational analysis of imaging data. |
2013-2014 |
UCSD Neurosciences BootcampFor the last 5 years I have been a TA for the intensive two-week neuroscience bootcamp course, where incoming first-year students get an intense introduction to the basics of neuroscience and electrophysiology. The course is everyday from 9am-midnight and students learn the basics of electrophysiology. The students record from cells in the leech ganglion, test for chemical and synaptic junctions, and fill cell with fluorescent dyes. |
2009-2013 |
Bootcamp Computational Special ProjectI also have been leading the Computational Special Project during Bootcamp. Each year we implement the Hodgkin and Huxley equations that describe the action-potential. We then model something recent in the literature. Projects have covered Calcium Channel Kinetics in Vesicles, Multi-stability in Oscillatory Networks, Dendritic Integration of Synaptic Inputs, fMRI analysis, and Gain Control in Spiking Neurons. |
2009-2012 |
Analytical Methods in Computational NeuroscienceWe developed a student-run course on computational methods in Neuroscience, where the older students teach a class and make a homework on a particular technique. I have been teaching a course on Dimensionality Reduction and Independent Components Analysis. |
2012-2014 |
Work Experience
Intern at Microsoft Research with Eric HorvitzI did a 3-month research internship at Microsoft with Eric Horvitz and Ashish Kapoor. We analyzed Voltage-Sensitive Dye data using some advanced machine-learning techniques including Isomap and various distance-matrix metrics. We used these technqiues to develop algorithms to identify homologous neurons across animals in the leech based on their functional and anatomical properties. |
2010 |
Software Engineer for Eye-PredictI worked for a 3-person start-up company at the end of undergrad. The company's goal was to apply a computational model of human vision (the saliency map model) to advertising, product placement, and layout optimization of websites. |
2007-2009 |
Conference Presentations
Frady, E.P., Yudice, J., Konanur, V., Todd, K.L., French, K.A., Kristan, W.B. (2013). Shunting and inhibitory currents co-regulate DE-3's input-output function. Society for Neuroscience.
Frady, E.P., Yudice, J., Kristan, W.B. (2013). Gain-control via shunting inhibition in a spiking model of the leech local bend reflex. Computational and Systems Neuroscience.
Frady, E.P., Kristan, W.B. (2012). Utilizing multi-functional neuronal responses during different behaviors to uniquely identify all neurons in the leech ganglion. Society for Neuroscience.
Frady, E.P., Kristan, W.B. (2012). Inferring Homologous Cells Across Animals to Analyze Neural Circuits. Organization for Computational Neurosciences.
Frady, E.P., Kapoor, A., Horvitz, E., Kristan, W.B. (2011). Utilizing multi-functional neuronal responses during different behaviors to uniquely identify all neurons in the leech ganglion. Society for Neuroscience.
Frady, E.P., Kapoor, A., Horvitz, E., Kristan, W.B. (2011). Isomap analysis of neuronal populations during decision-making. Computational and Systems Neuroscience.
Frady, E.P., Cauwenberghs, G. (2009) Using dopamine as a modulator for STDP for reinforcement learning applied to Tic-Tac-Toe in a temporal difference framework. Society for Neuroscience.
Frady, E.P., Cauwenberghs, G. (2009) Multi-compartmental model of synaptic plasticity. Joint Symposium for Neural Computation.
Cerf, M., Frady, E.P., Koch, C. (2008) Subjects' inability to avoid looking at faces suggests bottom-up attention allocation mechanism for faces. Society for Neuroscience.
Education
University of California, San Diego La Jolla, California Ph.D.: Neuroscience Specialization: Computational Neuroscience Specialization: Multi-scale Biology GPA: 4.0 |
2008-Pres |
California Institute of Technology Pasadena, California B.S. with Honors: Computation and Neural Systems B.S. with Honors: Business, Economics, and Management GPA: 3.7 |
2004-2008 |
Lakeside High School Decatur, Georgia GPA: 4.1 |
2000-2004 |
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