StatsPAI is for empirical researchers who would normally jump between Stata, R, and Python. Its goal is to make common Stata/R econometrics and causal-inference workflows feel native in Python: load a ...
I've noticed most studies or projects in this space only use the joint centers to compute planar projection angles, or the angles between vectors, and don't quantify 3D rotations in a similar way that ...
Spiking Neural Networks (SNNs) are gaining significant traction in machine learning tasks where energy-efficiency is of utmost importance. Training such networks using the state-of-the-art ...
The use of symmetry is widespread in chemistry, as it is used for predictions of the number of allowed and forbidden absorptions in electronic, vibrational, and rotational spectroscopies; for ...
2.5.8. Computation of Extracellular Potentials Inside Cortical Column All source codes and development history of past and present versions of LFPy are publicly ...
Normative and mechanistic model of an adaptive circuit for efficient encoding and feature extraction
The brain represents information with neural activity patterns. At the periphery, these patterns contain correlations, which are detrimental to stimulus discrimination. We study the peripheral ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results