Probabilistic Inference in General Graphical Models through Sampling in Stochastic Networks of Spiking Neurons

Lignende værker

• Learning Probabilistic Inference through Spike-Timing-Dependent Plasticity123
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• Neural Dynamics as Sampling: A Model for Stochastic Computation in Recurrent Networks of Spiking Neurons
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• Ensembles of Spiking Neurons with Noise Support Optimal Probabilistic Inference in a Dynamically Changing Environment
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• Probabilistic inference in discrete spaces can be implemented into networks of LIF neurons
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• A Learning Theory for Reward-Modulated Spike-Timing-Dependent Plasticity with Application to Biofeedback
  af: Legenstein, Robert, et al.
  Udgivet: (2008)