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» Modeling spiking neural networks
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NIPS
2004
13 years 11 months ago
Probabilistic Computation in Spiking Populations
As animals interact with their environments, they must constantly update estimates about their states. Bayesian models combine prior probabilities, a dynamical model and sensory e...
Richard S. Zemel, Quentin J. M. Huys, Rama Nataraj...
ESANN
2007
13 years 11 months ago
A neural model of cross-modal association in insects
Abstract. We developed a computational model of learning in the Mushroom Body, a region of multimodal integration in the insect brain. Using realistic neural dynamics and a biologi...
Jan Wessnitzer, Barbara Webb
ICANN
2009
Springer
14 years 4 months ago
Algorithms for Structural and Dynamical Polychronous Groups Detection
Polychronization has been proposed as a possible way to investigate the notion of cell assemblies and to understand their role as memory supports for information coding. In a spiki...
Régis Martinez, Hélène Paugam...
ICCS
2004
Springer
14 years 3 months ago
Developing a Data Driven System for Computational Neuroscience
Abstract. A data driven system implies the need to integrate data acquisition and signal processing into the same system that will interact with this information. This can be done ...
Ross Snider, Yongming Zhu
IAJIT
2010
117views more  IAJIT 2010»
13 years 8 months ago
Development of Neural Networks for Noise Reduction
: This paper describes the development of neural network models for noise reduction. The networks used to enhance the performance of modeling captured signals by reducing the effec...
Lubna Badri