Pages that link to "Item:Q4819822"
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The following pages link to Analyzing Neural Responses to Natural Signals: Maximally Informative Dimensions (Q4819822):
Displaying 24 items.
- Learning quantitative sequence-function relationships from massively parallel experiments (Q290475) (← links)
- An estimate of mutual information that permits closed-form optimisation (Q742718) (← links)
- Modeling convergent ON and OFF pathways in the early visual system (Q999383) (← links)
- Space-by-time tensor decomposition for single-trial analysis of neural signals (Q1624765) (← links)
- Context-dependent coding in single neurons (Q1732594) (← links)
- Spike-triggered covariance: geometric proof, symmetry properties, and extension beyond Gaussian stimuli (Q1746818) (← links)
- Spatio-chromatic information available from different neural layers via gaussianization (Q2040381) (← links)
- NeuroXidence: reliable and efficient analysis of an excess or deficiency of joint-spike events (Q2631504) (← links)
- Variable selection for Naïve Bayes classification (Q2669548) (← links)
- Equitability, mutual information, and the maximal information coefficient (Q2962211) (← links)
- Model-Based Decoding, Information Estimation, and Change-Point Detection Techniques for Multineuron Spike Trains (Q3070780) (← links)
- (Q5134643) (← links)
- Nonlinear Modeling of Neural Interaction for Spike Prediction Using the Staged Point-Process Model (Q5157274) (← links)
- Multi-Input, Multi-Output Neuronal Mode Network Approach to Modeling the Encoding Dynamics and Functional Connectivity of Neural Systems (Q5214348) (← links)
- Characterizing Responses of Translation-Invariant Neurons to Natural Stimuli: Maximally Informative Invariant Dimensions (Q5327146) (← links)
- Learning Quadratic Receptive Fields from Neural Responses to Natural Stimuli (Q5378221) (← links)
- Identifying Functional Bases for Multidimensional Neural Computations (Q5378234) (← links)
- Parametric Inference in the Large Data Limit Using Maximally Informative Models (Q5378337) (← links)
- A Novel Nonparametric Approach for Neural Encoding and Decoding Models of Multimodal Receptive Fields (Q5380546) (← links)
- Neural Decoding with Kernel-Based Metric Learning (Q5383772) (← links)
- Estimating Information Rates with Confidence Intervals in Neural Spike Trains (Q5457581) (← links)
- How Close Are We to Understanding V1? (Q5696502) (← links)
- Periodic clustering of simple and complex cells in visual cortex (Q6055076) (← links)
- Scalable Variational Inference for Low-Rank Spatiotemporal Receptive Fields (Q6136206) (← links)
