ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2012
Perceptual inference predicts contextual modulations of sensory responses.
Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.
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39 citing papers in PubMed.
- Feature-specific inhibitory connectivity augments the accuracy of cortical representations.bioRxiv : the preprint server for biology · 2025Article
- Stabilized Supralinear Network Model of Responses to Surround Stimuli in Primary Visual Cortex.eNeuro · 2025Article
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- A detailed theory of thalamic and cortical microcircuits for predictive visual inference.Science advances · 2025Article
- Efficient coding in biophysically realistic excitatory-inhibitory spiking networks.bioRxiv : the preprint server for biology · 2025Article
- Spiking networks that efficiently process dynamic sensory features explain receptor information mixing in somatosensory cortex.bioRxiv : the preprint server for biology · 2024Article
- Adaptation of the inferior temporal neurons and efficient visual processing.Frontiers in behavioral neuroscience · 2024Review
- Generalizing biological surround suppression based on center surround similarity via deep neural network models.PLoS computational biology · 2023Article
- Computational methods to study information processing in neural circuits.Computational and structural biotechnology journal · 2023Review
- Calibrating Vision: Concepts and Questions.Vision research · 2022Review
- Shape-Texture Debiased Training for Robust Template Matching.Sensors (Basel, Switzerland) · 2022Article
- Neuronal variability reflects probabilistic inference tuned to natural image statistics.Nature communications · 2021Article
- Limited Evidence for Sensory Prediction Error Responses in Visual Cortex of Macaques and Humans.Cerebral cortex (New York, N.Y. : 1991) · 2021Article
- Article
- Constrained inference in sparse coding reproduces contextual effects and predicts laminar neural dynamics.PLoS computational biology · 2019Article
- Relating Divisive Normalization to Neuronal Response Variability.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2019Article
- Article
- Stimulus- and goal-oriented frameworks for understanding natural vision.Nature neuroscience · 2019Review
- Temporal Contingencies Determine Whether Adaptation Strengthens or Weakens Normalization.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2018Article
- Adaptive coding for dynamic sensory inference.eLife · 2018Article
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3 authors.
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Abstract
Sensory receptive fields (RFs) vary as a function of stimulus properties and measurement methods. Previous stimuli or surrounding stimuli facilitate, suppress, or change the selectivity of sensory neurons' responses. Here, we propose that these spatiotemporal contextual dependencies are signatures of efficient perceptual inference and can be explained by a single neural mechanism, input targeted divisive inhibition. To respond both selectively and reliably, sensory neurons should behave as active predictors rather than passive filters. In particular, they should remove input they can predict ("explain away") from the synaptic inputs to all other neurons. This implies that RFs are constantly and dynamically reshaped by the spatial and temporal context, while the true selectivity of sensory neurons resides in their "predictive field." This approach motivates a reinvestigation of sensory representations and particularly the role and specificity of surround suppression and adaptation in sensory areas.
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