https://weihaoxu.com/github 2025-07-22T16:05:41+00:00 always 0.5 https://weihaoxu.com/new-home 2025-07-22T16:05:41+00:00 always 0.5 https://weihaoxu.com/blog 2025-10-22T21:39:04+00:00 always 0.5 https://weihaoxu.com/contact 2025-07-22T16:05:41+00:00 always 0.5 https://weihaoxu.com/cv 2025-07-22T16:05:41+00:00 always 0.5 https://weihaoxu.com/projects 2025-07-22T16:05:41+00:00 always 0.5 https://weihaoxu.com/technology 2025-10-13T19:17:12+00:00 always 0.5 https://freight.cargo.site/t/original/i/U2267855888024319786690137039350/final_export.png https://freight.cargo.site/t/original/i/I2299549767092302765404920750582/one-more-try.mp4 The left panel shows neural activity from all excitatory neurons, representing overall cortical functions, while the center highlights a specific subset – corticospinal neurons involved in controling right forelimb movement. The right panel displays cortical blood flow. All three signals were imaged simultaneously using interlaced acquisition. Blood flow, which supplies nutrients to neurons, was measured using intrinsic signals derived from the light absorption properties of oxygenated and deoxygenated hemoglobin. https://weihaoxu.com/projects-1 2025-10-13T19:15:39+00:00 always 0.5 https://weihaoxu.com/science 2025-10-13T19:17:13+00:00 always 0.5 https://freight.cargo.site/t/original/i/K2278512074400993430048707191286/data_example.mp4 Real-time, simultaneous imaging of raw jRGECO1a fluorescence dynamics (with overlaid regions of interest), neural activity (∆F/F), and changes in hemodynamic signals. Neural activity ∆F/F signals from each ROI are plotted over time on the right. https://freight.cargo.site/t/original/i/K2280792411281643846540783264246/CNN.png <div style="text-align: left"> Neural activity recorded from 500 cortical regions (top right) was analyzed using both a linear model and a 1D convolutional neural network (1D-CNN) (top left) to decode mouse behavioral dynamics. Although the linear model performed adequately during active movement periods, the 1D-CNN significantly outperformed it during resting (non-locomoting) states (bottom left, bottom right). These results highlight that neural encoding of behavior involves distinct nonlinearities, especially prominent during periods without overt movement.</div>. https://freight.cargo.site/t/original/i/V2284157205074333626998194446838/website-continuum.mp4 Seed regions used to compute correlation maps were color-coded according to their positions across S1 and visual cortex V1. Contours representing regions of high correlation are outlined with matching colors. Overlaying these contours highlights a continuous, graded pattern of connectivity between sensory/visual regions and M2 motor areas in the medial frontal cortex. https://freight.cargo.site/t/original/i/D2284160990475344760714152911350/Screenshot-2025-03-30-at-11.43.11PM.png Seed regions used to compute correlation maps were color-coded according to their positions across S1 and visual cortex V1. Contours representing regions of high correlation are outlined with matching colors. Overlaying these contours highlights a continuous, graded pattern of connectivity between sensory/visual regions and M2 motor areas in the medial frontal cortex. https://freight.cargo.site/t/original/i/V2284993578771981907360894689782/website-M2-S1.mp4 Applying a simple spatial transformation (rotation and compression) aligned the sensory (S1) and motor (M2) maps, demonstrating a homologous organization between the two topographies. https://freight.cargo.site/t/original/i/P2284993782608503921851440046582/Screenshot-2025-03-31-at-12.12.47PM.png Applying a simple spatial transformation (rotation and compression) aligned the sensory (S1) and motor (M2) maps, demonstrating a homologous organization between the two topographies. https://freight.cargo.site/t/original/i/C2465066764598964063448248623606/figure-3-copy-copy.svg Although appearing random, temporal fluctuations in each specific sensory region during rest are not strongly correlated to each other, instead exhibiting marked spatiotemporal heterogeneity (A and B). Sequential images of cortical activity during a resting period highlight that repeated activations of specific sensory regions are often accompanied by co-activation of discrete regions in frontal cortex (arrows in A). Using correlation maps seeded from sensory cortex (S1), I track the synchrony of spontaneous neural activity across the cortex (D). Each map clearly identifies distinct motor regions (solid outline in the medial frontal cortex, or secondary motor cortex M2) specifically correlated with their corresponding sensory areas (star markers in S1). Comparing across these maps demonstrates clear functional segregation for different body parts. The neural activity traces shown below each map are from the same brief resting-state period (6 seconds), illustrating tight sensory-motor coupling within the same body part and distinct patterns across different body parts. These body-part-specific topographies were consistently identified during awake resting fluctuations across all animals (E).. https://weihaoxu.com/header-desktop 2025-07-22T16:05:41+00:00 always 0.5 https://freight.cargo.site/t/original/i/A2236339646416293636235189297654/banner.png https://weihaoxu.com/text 2025-07-22T16:05:41+00:00 always 0.5 https://freight.cargo.site/t/original/i/G1273039279561545382834405714524/diatype.svg https://freight.cargo.site/t/original/i/V1273042177176104481130773555804/Untitled-1.jpg https://weihaoxu.com 2025-10-16T01:46:16+00:00 always 0.5 https://freight.cargo.site/t/original/i/L2238054054676276025560341422582/cowboy-emoji.png https://freight.cargo.site/t/original/i/N2315891864322546867271316546038/c19647d2-copy.jpg https://weihaoxu.com/nav-—-desktop 2025-07-22T16:05:41+00:00 always 0.5 https://weihaoxu.com/nav-—-mobile 2025-07-22T16:05:41+00:00 always 0.5 https://weihaoxu.com/header---mobile 2025-07-22T16:05:41+00:00 always 0.5