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20
Nov
Postdoctoral fellow position (research associate) in the group of Mate Lengyel at the Computational and Biological Learning Lab, Department of Engineering, University of Cambridge.
Closing date: 7 December 2009
Postdoctoral fellow position (research associate) in the group of Mate Lengyel at the Computational and Biological Learning Lab, Department of Engineering, University of Cambridge.
Closing date: 7 December 2009
Application deadline: December 1, 2009
The goal of the Computational Neuroscience Graduate Program at UCSD
is to train researchers who are equally at home measuring large-scale brain activity, analyzing the data with advanced computational techniques, and developing new models for brain development and function.
The Computational and Biological Learning Lab (CBL) at the Department of Engineering uses engineering approaches to understand the brain and to develop artificial learning systems. Research in computational neuroscience covers learning and memory in perceptual, cognitive, and motor systems.
This project is focused on data-driven development of mechanistic models of laminar neuronal cell populations aiming to establish connections between properties at the level of single neurons to the behavior of large neuronal populations.
Biometrics Computational Neuroscience CPG LFP Noise Machine Learning Sparse neurons Wavelets neural recordings Information Theory Modelling Dimensionality Reduction Neural Networks Clustering Statistical Analysis Neurophysiology Brain Interfaces Spike Sorting Brain Research
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