ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2018
Inverted Encoding Models of Human Population Response Conflate Noise and Neural Tuning Width.
Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- Orientation Maps in Mouse Superior Colliculus Explained by Population Model of Non-Orientation Selective Neurons.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Leveraging Psychophysics to Infer the Mechanisms of Encoding Change in Vision.Computational brain & behavior · 2025Article
- Stimulus representation in human frontal cortex supports flexible control in working memory.eLife · 2025Article
- Neural tuning instantiates prior expectations in the human visual system.Nature communications · 2023Article
- Eye movements disrupt EEG alpha-band coding of behaviorally relevant and irrelevant spatial locations held in working memory.Journal of neurophysiology · 2023Article
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- Improving the validity of neuroimaging decoding tests of invariant and configural neural representation.PLoS computational biology · 2023Article
- A modeling framework for determining modulation of neural-level tuning from non-invasive human fMRI data.Communications biology · 2022Article
- Recommendations and publication guidelines for studies using frequency domain and time-frequency domain analyses of neural time series.Psychophysiology · 2022Article
- Reliable Sensory Processing in Mouse Visual Cortex through Cooperative Interactions between Somatostatin and Parvalbumin Interneurons.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021Article
- The Neural Codes Underlying Internally Generated Representations in Visual Working Memory.Journal of cognitive neuroscience · 2021Article
- The Role of Object Individuation in Attention and Visual Processing.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2020Article
- Ensemble representations reveal distinct neural coding of visual working memory.Nature communications · 2019Article
- Dual Process Coding of Recalled Locations in Human Oscillatory Brain Activity.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2019Article
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- Overlapping and distinct contributions of stimulus location and of spatial context to nonspatial visual short-term memory.Journal of neurophysiology · 2019Article
- Linking signal detection theory and encoding models to reveal independent neural representations from neuroimaging data.PLoS computational biology · 2018Article
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- The Importance of Considering Model Choices When Interpreting Results in Computational Neuroimaging.eNeuroArticle
- Article
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3 authors.
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Abstract
Channel-encoding models offer the ability to bridge different scales of neuronal measurement by interpreting population responses, typically measured with BOLD imaging in humans, as linear sums of groups of neurons (channels) tuned for visual stimulus properties. Inverting these models to form predicted channel responses from population measurements in humans seemingly offers the potential to infer neuronal tuning properties. Here, we test the ability to make inferences about neural tuning width from inverted encoding models. We examined contrast invariance of orientation selectivity in human V1 (both sexes) and found that inverting the encoding model resulted in channel response functions that became broader with lower contrast, thus apparently violating contrast invariance. Simulations showed that this broadening could be explained by contrast-invariant single-unit tuning with the measured decrease in response amplitude at lower contrast. The decrease in response lowers the signal-to-noise ratio of population responses that results in poorer population representation of orientation. Simulations further showed that increasing signal to noise makes channel response functions less sensitive to underlying neural tuning width, and in the limit of zero noise will reconstruct the channel function assumed by the model regardless of the bandwidth of single units. We conclude that our data are consistent with contrast-invariant orientation tuning in human V1. More generally, our results demonstrate that population selectivity measures obtained by encoding models can deviate substantially from the behavior of single units because they conflate neural tuning width and noise and are therefore better used to estimate the uncertainty of decoded stimulus properties.
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