Multisensory perception constrains the formation of object categories: a review of evidence from sensory-driven and predictive processes on categorical decisions

FN Newell, E McKenna, MA Seveso… - … of the Royal …, 2023 - royalsocietypublishing.org
Although object categorization is a fundamental cognitive ability, it is also a complex process
going beyond the perception and organization of sensory stimulation. Here we review …

Feasibility of decoding visual information from EEG

H Wilson, X Chen, M Golbabaee… - Brain-Computer …, 2023 - Taylor & Francis
Decoding visual information, such as visual imagery and perception, from EEG data can be
used to improve understanding of the neural representation of visual information and to …

Human brain representations of internally generated outcomes of approximate calculation revealed by ultra-high-field brain imaging

S Czajko, A Vignaud, E Eger - Nature Communications, 2024 - nature.com
Much of human culture's advanced technology owes its existence to the ability to mentally
manipulate quantities. Neuroscience has described the brain regions overall recruited by …

[HTML][HTML] How do we generalize?

JE Taylor, A Cortese, HC Barron, X Pan… - … , data analysis and …, 2021 - ncbi.nlm.nih.gov
Humans and animals are able to generalize or transfer information from previous
experience so that they can behave appropriately in novel situations. What mechanisms …

How does the “default mode” network contribute to semantic cognition?

L Fernandino, JR Binder - Brain and Language, 2024 - Elsevier
This review examines whether and how the “default mode” network (DMN) contributes to
semantic processing. We review evidence implicating the DMN in the processing of …

Exploring the visual guidance of motor imagery in sustainable brain–computer interfaces

C Yang, L Kong, Z Zhang, Y Tao, X Chen - Sustainability, 2022 - mdpi.com
Motor imagery brain–computer interface (MI-BCI) systems hold the possibility of restoring
motor function and also offer the possibility of sustainable autonomous living for individuals …

Category learning in a recurrent neural network with reinforcement learning

Y Zhang, X Pan, Y Wang - Frontiers in Psychiatry, 2022 - frontiersin.org
It is known that humans and animals can learn and utilize category information quickly and
efficiently to adapt to changing environments, and several brain areas are involved in …

The Visual Advantage Effect in Comparing Uni-Modal and Cross-Modal Probabilistic Category Learning

X Sun, Q Fu - Journal of Intelligence, 2023 - mdpi.com
People rely on multiple learning systems to complete weather prediction (WP) tasks with
visual cues. However, how people perform in audio and audiovisual modalities remains …

Multi-modal Representation of the Size of Space in the Human Brain

J Lee, S Park - Journal of Cognitive Neuroscience, 2024 - ieeexplore.ieee.org
To estimate the size of an indoor space, we must analyze the visual boundaries that limit the
spatial extent and acoustic cues from reflected interior surfaces. We used fMRI to examine …

Multisensory transfer effects in implicit and explicit category learning

X Sun, L Yao, Q Fu, X Fu - Psychological Research, 2023 - Springer
In category learning, transfer emerges when individuals apply the knowledge or strategy
learned with one set of stimuli to a novel set. Under multisensory circumstances, it remains …