For more information about this meeting, contact Kris Jenssen, Yuxi Zheng.
| Title: | Computational Neuroscience using Spiking Neural Networks |
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| Seminar: | Computational and Applied Mathematics Colloquium |
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| Speaker: | Lyle Long, Department of Aerospace Engineering, Penn State |
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| Abstract: |
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| In this seminar the software and algorithm issues involved in developing large-scale biologically inspired spiking neural networks will be discussed. These neural networks are useful in object recognition and signal processing tasks, but are also useful in simulations to help understand the human brain. There are a wide range of neuron models with varying computational cost and biological plausibility, and these will be discussed as well. In addition, Hebbian learning will be discussed. Comparisons will be made between existing computers and the human brain. The human brain is roughly six orders of magnitude more effective than current supercomputers. The software is written using object oriented programming, and is very general and usable for processing a wide range of sensor data and for data fusion. Techniques such as these would be very valuable on mobile robots. |
Room Reservation Information
| Room Number: | MB106 |
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| Date: | 09 / 11 / 2009 |
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| Time: | 03:35pm - 04:25pm |
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