PsychologyNATURE COMMUNICATIONS
Constructing neural network models from brain data reveals representational transformations linked to adaptive behavior
T. Ito, G. R. Yang, et al.
Delve into the fascinating world of cognitive adaptability with this study by Takuya Ito, Guangyu Robert Yang, Patryk Laurent, Douglas H. Schultz, and Michael W. Cole. Discover how brain regions known as conjunction hubs drive cognitive computations and integrate sensory information, revealing the intricacies of human intelligence.
Related Publications
Explore these studies to deepen your understanding
Adjacent work that informs or extends this paper's methodology and findings.
Mathematics
Fundamental limits to learning closed-form mathematical models from data
O. Fajardo-fontiveros, I. Reichardt, et al.
Cognitive Science
Brain-optimized deep neural network models of human visual areas learn non-hierarchical representations
G. St-yves, E. J. Allen, et al.
Business
Analyzing motivating functions of consumer behavior: Evidence from attention and neural responses to choices and consumption
S. Pawar, A. Fagerstrøm, et al.
Chemistry
Teaching a neural network to attach and detach electrons from molecules
R. Zubatyuk, J. S. Smith, et al.

