Data Engineering ePosters

We present a comprehensive dataset of neural activity, compiled from 11 neuroimaging experiments in the nematode worm C. elegans. These source datasets, while collected under different experimental protocols, all measure neural activity via changes in calcium fluorescence in labeled subsets of the hermaphrodite worm’s…

Neural simulations using NEST are typically executed by a Python script that configures the simulator kernel, builds the network, and runs the simulation. The result is a series of files containing the simulated network activity, which can then be analyzed to provide insights into the neural activity. Despite the…

Scientific progress increasingly relies on interdisciplinary collaborations as experimental and simulation datasets grow in complexity. However, these datasets are often underutilized due to inadequate solutions for data management, sharing, and analysis. Existing solutions address different aspects of the data…

Recent studies have demonstrated that brain areas involved in motor control display common representations of latent trajectories for both stereotypical and generalizable dynamical cortical behavior. However, current research often focuses on analyzing single tasks and individual sessions, missing the opportunity to…

A growing number of neuroimaging tools are being developed to enable data analysis in a more tool-independent manner when analyzing three- and four-dimensional brain imaging data in various statistical settings. Ideally, such tools still offer user interfaces that are accessible to those with a basic understanding of…

The domain of computational neuroscience is one that is awash with data; be it from simulations or experiments, we try to extract patterns and make sense of them. However, two trends have emerged over the past decade. For one, datasets are rapidly increasing in scale, breadth and depth, as more research demands higher…

Advances in computer vision and deep learning have made it possible to gather markerless pose estimation data from consumer-grade cameras. Accessible software tools, such as DeepLabCut, have made it possible to include behavioral pose as one data modality in larger neuroscience projects. Staying at the leading edge of…