Pages that link to "Item:Q3539955"

The following pages link to Bayesian Spiking Neurons I: Inference (Q3539955):

Displaying 37 items.

• Exact Spike Train Inference Via $\ell_0$ Optimization (Q152825) (← links)
• Optimal prediction in the retina and natural motion statistics (Q290488) (← links)
• Recognizing recurrent neural networks (rRNN): Bayesian inference for recurrent neural net\-works (Q353805) (← links)
• Bayesian models of brain and behaviour (Q355928) (← links)
• Cell signaling as a probabilistic computer (Q518640) (← links)
• Normalization for probabilistic inference with neurons (Q663924) (← links)
• Bayesian decoding of neural spike trains (Q904063) (← links)
• On the use of Bayesian methods for evaluating compartmental neural models (Q1265780) (← links)
• Bayesian inference in populations of cortical neurons: A model of motion integration and segmentation in area MT (Q1280711) (← links)
• Neural representation of probabilities for Bayesian inference (Q1732708) (← links)
• Probabilistic inference of binary Markov random fields in spiking neural networks through mean-field approximation (Q1980397) (← links)
• Novelty detection improves performance of reinforcement learners in fluctuating, partially observable environments (Q2001717) (← links)
• Synthesis of recurrent neural dynamics for monotone inclusion with application to Bayesian inference (Q2057727) (← links)
• Stochastic models of evidence accumulation in changing environments (Q2805268) (← links)
• The basal ganglia optimize decision making over general perceptual hypotheses (Q2840875) (← links)
• Optimal sequential detection of stimuli from multiunit recordings taken in densely populated brain regions (Q2919399) (← links)
• Belief Propagation in Networks of Spiking Neurons (Q3182480) (← links)
• (Q3503430) (← links)
• Bayesian Spiking Neurons II: Learning (Q3539956) (← links)
• Reward-Modulated Hebbian Learning of Decision Making (Q3568365) (← links)
• Bayesian Filtering in Spiking Neural Networks: Noise, Adaptation, and Multisensory Integration (Q3628012) (← links)
• Cortical Circuitry Implementing Graphical Models (Q3648337) (← links)
• (Q4783907) (← links)
• Bayesian Integration in a Spiking Neural System for Sensorimotor Control (Q5044206) (← links)
• Inference of a Mesoscopic Population Model from Population Spike Trains (Q5131155) (← links)
• (Q5134810) (← links)
• A Learning Framework for Winner-Take-All Networks with Stochastic Synapses (Q5157187) (← links)
• Computing with Spikes: The Advantage of Fine-Grained Timing (Q5157248) (← links)
• Exact Inferences in a Neural Implementation of a Hidden Markov Model (Q5294331) (← links)
• Spike-Based Probabilistic Inference in Analog Graphical Models Using Interspike-Interval Coding (Q5378257) (← links)
• A Biological Gradient Descent for Prediction Through a Combination of STDP and Homeostatic Plasticity (Q5378278) (← links)
• Approximate, Computationally Efficient Online Learning in Bayesian Spiking Neurons (Q5378331) (← links)
• Bayesian Inference and Online Learning in Poisson Neuronal Networks (Q5380551) (← links)
• Active Inference: A Process Theory (Q5380632) (← links)
• Evidence Accumulation and Change Rate Inference in Dynamic Environments (Q5380713) (← links)
• Bayesian Active Learning of Neural Firing Rate Maps with Transformed Gaussian Process Priors (Q5383788) (← links)
• Characterization of dynamics and information processing of integrate-and-fire neuron models (Q5877997) (← links)