Traditional statistical and machine learning methods mostly focus on correlations, but causal models allow researchers to infer mechanisms and predict the effects of interventions. Nevertheless, the ...
A Python package for estimating Granger Causality (GC) in the frequency domain, supporting multiple spectral estimators (Fourier, Welch, Morlet, multitaper) and both NumPy and JAX/XLA backends. pygc/ ...
This study reports important findings about the nature of feedback to primary visual cortex (V1) during object recognition. The state-of-the-art functional MRI evidence for the main claims is solid, ...
[Higher-order Granger reservoir computing: Simultaneously achieving structures inference and accurate prediction of complex dynamics] In this work, we formulate a new dynamic inference and prediction ...
We introduce an open-source Python package for the analysis of large-scale electrophysiological data, named SyNCoPy, which stands for Systems Neuroscience Computing in Python. The package includes ...
Lets geek out. The HackerNoon library is now ranked by reading time created. Start learning by what others read most. Lets geek out. The HackerNoon library is now ranked by reading time created. Start ...
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