Search Results for author:
Found 5 papers, 4 papers with code
Assessing the similarity of real matrices with arbitrary shape
We conclude that SAS is a suitable measure for quantifying the shared structure of matrices with arbitrary shape.
Facilitating the sharing of electrophysiology data analysis results through in-depth provenance capture
We present Alpaca (Automated Lightweight Provenance Capture), a tool that captures fine-grained provenance information with minimal user intervention when running data analysis pipelines implemented in Python scripts.
Comparing apples to apples -- Using a modular and adaptable analysis pipeline to compare slow cerebral rhythms across heterogeneous datasets
Neuroscience is moving towards a more integrative discipline, where understanding brain function requires consolidating the accumulated evidence seen across experiments, species, and measurement techniques.
Evaluating the statistical similarity of neural network activity and connectivity via eigenvector angles
In this study, we construct a statistical test for the comparison of matrices representing pairwise aspects of neural networks, in particular, the correlation between spiking activity and connectivity.
LFP beta amplitude is predictive of mesoscopic spatio-temporal phase patterns
Beta oscillations observed in motor cortical local field potentials (LFPs) recorded on separate electrodes of a multi-electrode array have been shown to exhibit non-zero phase shifts that organize into a planar wave propagation.
