Jean-Paul Noel, Sabyasachi Shivkumar ... Dora E Angelaki
Individuals within the autism spectrum disorder implicitly outweigh integration (rather than segregating) when performing causal inference and have developed an explicit compensatory mechanism as reflected in choice biases.
Thomas J Whitford, Bradley N Jack ... Mike E Le Pelley
The silent production of words in one's mind generates an efference copy that is similar in nature to the efference copy associated with overt vocalization.
A combined experimental and modeling approach provides insight into potential biases when inferring transcription rates from static mRNA distributions, and shows that correcting for cell-cycle phase and post-transcriptional noise provides rates that agree with live-cell transcription measurements.
In causal inference, the premotor cortex dynamically integrates prior information and current sensory inputs to infer hidden structures, and selectively updates sensory representations in the parietal cortex to support behavior.
Empirical experiments and computational modeling reveal a stochastic world model on gravity for stability inference that represents gravity’s vertical direction as a Gaussian distribution.
Behavioral and computational results show that the perception of our body as our own depends on Bayesian probabilistic reasoning that take into account the variations in sensory uncertainty when integrating visual and somatosensory cues.
A new autoencoder-based genotype imputation method shows superior accuracy across human genomes of diverse ancestry and across the allele-frequency spectrum, while delivering significantly faster inference run times relative to standard imputation tools.
The asymptomatic colonization and importation of methicillin-resistant Staphylococcus aureus (MRSA) in hospital settings can be inferred from observed cases using combined model-inference methods and used to inform improved interventions.
