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Paik, S.-B.

Publications and source records attributed to Paik, S.-B..

3 recordsLinked to original sources

Automated 3-D mapping of single neurons in the standard brain atlas using single brain slices

Recent breakthroughs in neuroanatomical tracing methods have helped unravel complicated neural connectivity in whole brain tissue at a single cellular resolution. However, analysis of brain images remains dependent on highly subjective manual processing. In the present study, we introduce AMaSiNe, a novel software for automated mapping of single neurons in the standard mouse brain atlas. The AMaSiNe automatically calibrates alignment angles of each brain slice to match the Allen Reference Atlas (ARA), locates labeled neurons from multiple brain samples in a common brain space, and achieves a standardized 3D-rendered brain. Due to the high fidelity and reliability of AMaSiNe, the retinotopic structures of neural projections to the primary visual cortex (VISp) were determined from single and dual injections of the rabies virus onto different visual areas. Our results demonstrate that distinct retinotopic organization of bottom-up and top-down projections could be precisely mapped using AMaSiNe.

neuroscience

Universality of the developmental origins of diverse functional maps in the visual cortex

The primary visual cortex of higher mammals is organized into diverse functional maps of correlated topography, implying an efficient tiling of functional domains. However, no fundamental principle is available on how systematic organization of the maps could develop initially in various species. Here, we propose that diverse functional maps are seeded from a common framework of retinal afferents, and that this universality of development explains the observed topographical correlations among the maps. From the simulation of retinal ganglion cell mosaics, we successfully developed all four cortical maps observed so far. We validated our model prediction of inter-map relationships from analysis of map data in evolutionarily divergent mammalian species. Our key prediction, the hexagonal periodicity of every functional map, was validated from analysis of the map data in diverse mammalian species. Our results provide new insight into a universal mechanism for the development and evolution of the visual cortex.

neuroscience

Intrinsic timescales of sensory integration for motion perception

A subject-specific process of accumulation of information may be responsible for variations in decision time following visual perceptions in humans. A detailed profile of this perceptual decision making, however, has not yet been verified. Using a coherence-varying motion discrimination task, we precisely measured the perceptual decision kernel of subjects. We observed that the kernel size (decision time) is consistent within subjects, independent of stimulus dynamics, and the observed kernel could accurately predict each subject performance. Interestingly, the performance of most subjects was optimized when stimulus duration was matched to their kernel size. We also found that the observed kernel size was strongly correlated with the perceptual alternation in bistable conditions. Our result suggests that the observed decision kernel reveals a subject-specific feature of sensory integration.

neuroscience