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A new hub for the neurosciences
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Bernstein Center consolidates research in Computational Neuroscience and Neurotechnology
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A novel view on the visual cortex
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Theoretical model explains properties of sensory neurons and networks
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A powerful tool for the study of neuronal networks
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Multiplicative point processes prove ideal to describe the dynamics of populations of neurons in fundamental brain research and engineering applications.
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A Sharper View into the Brain
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Researchers from Freiburg are the first to detect the exact border between two important brain regions
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Adaptation Paths to Novel Motor Tasks Are Shaped by Prior Structure Learning
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Findings support hypothesis that related motor skills are acquired faster by learning the dynamic and kinematic relationships
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Advanced Course in Computational Neuroscience started
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On August 2, the Advanced Course in Computational Neuroscience (ACCN) started at the Bernstein Center Freiburg. For one month, 30 students from around the world will attend lectures and work on projects spanning the whole width of this dynamic field of research.
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Advanced Course in Computational Neuroscience held in Freiburg
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For the third and final time, the Advanced Course in Computational Neuroscience (ACCN) is held this summer at the Bernstein Center Freiburg. Applications are still possible until April 2, 2010.
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Algorithm proves useful for analysis of neuronal data
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“Support vector machines” perform well in spike pattern classification with a leaky integrate-and-fire neuron
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Article by BCF members in PLoS Computational Biology on learning from dopamine signals
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Wiebke Potjans, alumna of the BCF, has published together with members Markus Diesmann and Abigail Morrison the paper "An Imperfect Dopaminergic Error Signal Can Drive Temporal-Difference Learning". Their research paves the way for further investigations of the dopaminergic system in reward learning in the healthy brain and in pathological conditions such as Parkinson's disease.
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Article by BCF/RIKEN members published in PLoS Computational Biology
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Using computer simulations of brain-like networks, researchers from Germany and Japan have discovered why nerve cells transmit information through small electrical pulses. Not only allows this the brain to process information much faster than previously thought: single neurons are already able to multiply, opening the door to more complex forms of computing.
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