Generalization of visual perceptual learning (VPL) to unseen conditions varies across tasks. Previous work suggests that training curriculum may be integral to generalization, yet a theoretical explan...

The Kempner brings leading, early-stage postdoctoral scientists to Harvard to work on projects that advance the fundamental understanding of intelligence.

Author summary A central challenge in vision science is understanding how the visual system links fragmented local features into coherent object representations. One foundational process supporting th...

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JTN - 2025

The principle of peak selection is described, by which local interactions and smooth gradients drive self-organization of discrete global modules.

A neocortical–entorhinal–hippocampal network model based on grid cell states recapitulates experimental results and reconciles the spatial, associative and episodic memory roles of the hippocampus.

Area Chairs nominated to serve for the 8-page conference proceedings track at CCN 2025 should meet the following requirements: be a senior researcher (professor, research fellow, postdoc); have author...

The neocortex-wide neural activity is organized into distinct networks of areas engaged in different cognitive processes. To elucidate the underlying mechanism of flexible network reconfiguration, we ...

The learning algorithms that produce social behavior are unknown. Here the authors show that artificial fish, modeled via embodied deep neural networks, learn the same social behaviors as real fish, s...

Lab webpage for the Visual Learning Lab at UCSD, lead by Dr. Bria Long, Ph.D. Launching in July 2024!

Job Summary: This position is a full-time, tenure-track faculty position at the Assistant Professor level in the Department of Psychology at UW-Madison. The search is for a job candidate whose exper...

How do brain circuits learn to generate behaviour? While significant strides have been made in understanding learning in artificial neural networks, applying this knowledge to biological networks...