about
Suppressive mechanisms in visual motion processing: From perception to intelligenceOrigins of choice-related activity in mouse somatosensory cortex.Origin of information-limiting noise correlationsCue Reliability Represented in the Shape of Tuning Curves in the Owl's Sound Localization SystemLong-term deficits in motion detection thresholds and spike count variability after unilateral vestibular lesion.Insights into decision making using choice probabilityA neural basis for the spatial suppression of visual motion perceptionThe neural basis of depth perception from motion parallax.Feedforward and feedback sources of choice probability in neural population responses.Dissociated functional significance of decision-related activity in the primate dorsal streamCorrelations and Neuronal Population Information.Decision-Related Activity in Macaque V2 for Fine Disparity Discrimination Is Not Compatible with Optimal Linear Readout.Task-dependent recurrent dynamics in visual cortex.Inference in the Brain: Statistics Flowing in Redundant Population Codes.Computational principles and models of multisensory integration.Neuronal pattern separation of motion-relevant input in LIP activity.Emergent stochastic oscillations and signal detection in tree networks of excitable elements.Efficient probabilistic inference in generic neural networks trained with non-probabilistic feedback.Decoupled choice-driven and stimulus-related activity in parietal neurons may be misrepresented by choice probabilities.Defining the V5/MT neuronal pool for perceptual decisions in a visual stereo-motion task.Dissociation of Choice Formation and Choice-Correlated Activity in Macaque Visual Cortex.How does transient signaling input affect the spike timing of postsynaptic neuron near the threshold regime: an analytical study.Focal versus distributed temporal cortex activity for speech sound category assignment.Representation of Multidimensional Stimuli: Quantifying the Most Informative Stimulus Dimension from Neural Responses.Can serial dependencies in choices and neural activity explain choice probabilities?Decision-variable correlation.Invariant Components of Synergy, Redundancy, and Unique Information among Three VariablesInferring decoding strategies for multiple correlated neural populations
P2860
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P2860
description
2015 nî lūn-bûn
@nan
2015年の論文
@ja
2015年論文
@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
2015年論文
@zh-mo
2015年論文
@zh-tw
2015年论文
@wuu
2015年论文
@zh
2015年论文
@zh-cn
name
How Can Single Sensory Neurons Predict Behavior?
@en
How Can Single Sensory Neurons Predict Behavior?
@nl
type
label
How Can Single Sensory Neurons Predict Behavior?
@en
How Can Single Sensory Neurons Predict Behavior?
@nl
prefLabel
How Can Single Sensory Neurons Predict Behavior?
@en
How Can Single Sensory Neurons Predict Behavior?
@nl
P2860
P50
P1433
P1476
How Can Single Sensory Neurons Predict Behavior?
@en
P2093
P2860
P304
P356
10.1016/J.NEURON.2015.06.033
P407
P577
2015-07-01T00:00:00Z