Filter By:

Journal Check one or more journals to show results from those journals only.

Choose more journals

Article type Check one or more article types to show results from those article types only.
Subject Check one or more subjects to show results from those subjects only.
Date Choose a date option to show results from those dates only.

Custom date range

Clear all filters
Sort by:
Showing 1–5 of 5 results
Advanced filters: Author: "Chung Lee" Clear advanced filters
  • Excitatory pyramidal neurons preferentially target inhibitory interneurons with the same selectivity and, in turn, inhibitory interneurons preferentially target pyramidal neurons with opposite selectivity, forming an opponent inhibition motif that supports decision-making.

    • Aaron T. Kuan
    • Giulio Bondanelli
    • Wei-Chung Allen Lee
    Research
    Nature
    Volume: 627, P: 367-373
  • Kuan, Phelps, et al. used synchrotron X-ray imaging and deep learning to map dense neuronal wiring in fly and mouse tissue, enabling examination of individual cells and connectivity in circuits governing motor control and perceptual decision-making.

    • Aaron T. Kuan
    • Jasper S. Phelps
    • Wei-Chung Allen Lee
    Research
    Nature Neuroscience
    Volume: 23, P: 1637-1643
  • Mapping of the mouse cerebellar cortex using 3D reconstruction from electron microscopy, as well as numerical simulation of neuronal activity, shows non-random redundancy of connectivity that may favour resilient learning over encoding capacity.

    • Tri M. Nguyen
    • Logan A. Thomas
    • Wei-Chung Allen Lee
    Research
    Nature
    Volume: 613, P: 543-549
  • Two-photon calcium imaging and electron microscopy were used to explore the relationship between structure and function in mouse primary visual cortex, showing that layer 2/3 neurons are connected in subnetworks, that pyramidal neurons with similar orientation selectivity preferentially form synapses with each other, and that neurons with similar orientation tuning form larger synapses; this study exemplifies functional connectomics as a powerful method for studying the organizational logic of cortical networks.

    • Wei-Chung Allen Lee
    • Vincent Bonin
    • R. Clay Reid
    Research
    Nature
    Volume: 532, P: 370-374