ReviewNeuron2024
Sensory choices as logistic classification.
Review in Neuron, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
7 citing papers in PubMed.
- Observability constrains expertise-dependent kinematic readout in action prediction.Cognitive research: principles and implications · 2026Article
- Selective encoding of priors for flexible categorization but not Bayesian inference in the frontal eye field.bioRxiv : the preprint server for biology · 2026Article
- A drift-diffusion model of temporal generalization outperforms existing models and captures modality differences and learning effects.Behavior research methods · 2025Article
- Discovery and shaping of decision strategies using adversarial stimuli in rats.bioRxiv : the preprint server for biology · 2025Article
- Interference of Mid-level Speech and Noise Statistics Underlies Human Speech Recognition Sensitivity in Natural Environmental Noise.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Precise spike-timing information in the brainstem is well aligned with the needs of communication and the perception of environmental sounds.PLoS biology · 2025Article
- Pressure-pain thresholds of the plantar foot reflect relative tissue thickness and are systematically higher in active runners than non-runners.Frontiers in physiology · 2025Article
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Abstract
Logistic classification is a simple way to make choices based on a set of factors: give each factor a weight, sum the results, and use the sum to set the log odds of a random draw. This operation is known to describe human and animal choices based on value (economic decisions). There is increasing evidence that it also describes choices based on sensory inputs (perceptual decisions), presented across sensory modalities (multisensory integration) and combined with non-sensory factors such as prior probability, expected value, overall motivation, and recent actions. Logistic classification can also capture the effects of brain manipulations such as local inactivations. The brain may implement it by thresholding stochastic inputs (as in signal detection theory) acquired over time (as in the drift diffusion model). It is the optimal strategy under certain conditions, and the brain appears to use it as a heuristic in a wider set of conditions.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.