Statistical learning in vision
Vision and learning have long been considered to be two areas of research linked only
distantly. However, recent developments in vision research have changed the conceptual …
distantly. However, recent developments in vision research have changed the conceptual …
Cognitive, systems, and computational neurosciences of the self in motion
JP Noel, DE Angelaki - Annual review of psychology, 2022 - annualreviews.org
Navigating by path integration requires continuously estimating one's self-motion. This
estimate may be derived from visual velocity and/or vestibular acceleration signals …
estimate may be derived from visual velocity and/or vestibular acceleration signals …
[HTML][HTML] Attention controls multisensory perception via two distinct mechanisms at different levels of the cortical hierarchy
A Ferrari, U Noppeney - PLoS biology, 2021 - journals.plos.org
To form a percept of the multisensory world, the brain needs to integrate signals from
common sources weighted by their reliabilities and segregate those from independent …
common sources weighted by their reliabilities and segregate those from independent …
Rethinking delusions: A selective review of delusion research through a computational lens
Delusions are rigid beliefs held with high certainty despite contradictory evidence.
Notwithstanding decades of research, we still have a limited understanding of the …
Notwithstanding decades of research, we still have a limited understanding of the …
Causal inference during closed-loop navigation: parsing of self-and object-motion
A key computation in building adaptive internal models of the external world is to ascribe
sensory signals to their likely cause (s), a process of causal inference (CI). CI is well studied …
sensory signals to their likely cause (s), a process of causal inference (CI). CI is well studied …
[HTML][HTML] Multisensory correlation computations in the human brain identified by a time-resolved encoding model
Neural mechanisms that arbitrate between integrating and segregating multisensory
information are essential for complex scene analysis and for the resolution of the …
information are essential for complex scene analysis and for the resolution of the …
A survey of methods, challenges and perspectives in causality
Deep Learning models have shown success in a large variety of tasks by extracting
correlation patterns from high-dimensional data but still struggle when generalizing out of …
correlation patterns from high-dimensional data but still struggle when generalizing out of …
[HTML][HTML] The “primitive brain dysfunction” theory of autism: the superior colliculus role
R Jure - Frontiers in Integrative Neuroscience, 2022 - frontiersin.org
A better understanding of the pathogenesis of autism will help clarify our conception of the
complexity of normal brain development. The crucial deficit may lie in the postnatal changes …
complexity of normal brain development. The crucial deficit may lie in the postnatal changes …
[HTML][HTML] Weak observer–level correlation and strong stimulus-level correlation between the McGurk effect and audiovisual speech-in-noise: A causal inference …
The McGurk effect is a widely used measure of multisensory integration during speech
perception. Two observations have raised questions about the validity of the effect as a tool …
perception. Two observations have raised questions about the validity of the effect as a tool …
Neural dynamics of causal inference in the macaque frontoparietal circuit
Natural perception relies inherently on inferring causal structure in the environment.
However, the neural mechanisms and functional circuits essential for representing and …
However, the neural mechanisms and functional circuits essential for representing and …