Check out our new tool to assess the rhythmicity of biological signals (a.k.a. how predictable is the phase in your favourite frequency band): Lagged Hilbert (auto)coherence. Way less noisy, more accurate, implemented in Python and MATLAB.
#psychscisky
🧪 🧠🟦 🤖🧠 🧠📟 🧠📈
#psychscisky
🧪 🧠🟦 🤖🧠 🧠📟 🧠📈
Reposted from
Decision, Action, and Neural Computation (DANC) lab
We're happy to announce the release of a preprint presenting lagged Hilbert autocoherence for determining signal rhythmicity at different frequencies. Fantastic work by Siqi Zhang, @maciekszul.bsky.social, and some others who have not made the leap over here. 🧠📈 🧠💻
www.biorxiv.org/content/10.1...
www.biorxiv.org/content/10.1...
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