Mohammad Taha Fakharian
A science enthusiast. I enjoy to work on the intersection of machine learning, neuroscience, computer science and mathematics. I love football, music and Iran!
- Reposted by Mohammad Taha FakharianWanna compare dynamics across different systems? See our fast and furious method developed by us (@armanbehrad.bsky.social @mmdtaha.bsky.social, @neuroprinciplist.bsky.social) together with our wonderful collaborators! You can already use our code: github.com/CMC-lab/fast...
- Wanna compare dynamics across neural data, RNNs, or dynamical systems? We got a fast and furious method🏎️ The 1st preprint of my PhD 🥳 fast dynamical similarity analysis (fastDSA): 📜: arxiv.org/abs/2511.22828 💻: github.com/CMC-lab/fast... I’ll be @cosynemeeting.bsky.social - happy to chat 😉
- Reposted by Mohammad Taha FakharianWanna compare dynamics across neural data, RNNs, or dynamical systems? We got a fast and furious method🏎️ The 1st preprint of my PhD 🥳 fast dynamical similarity analysis (fastDSA): 📜: arxiv.org/abs/2511.22828 💻: github.com/CMC-lab/fast... I’ll be @cosynemeeting.bsky.social - happy to chat 😉
- Reposted by Mohammad Taha FakharianKnow about a fast dynamical similarity analysis. Visit @armanbehrad.bsky.social and @mmdtaha.bsky.social @ P I 11, Tue 16:30-18: bsky.app/profile/arma...
- Curious about similarity metrics? What if we could capture dynamical similarity that’s noise-robust and computationally efficient? (1/4) Check out Fast Dynamical Similarity Analysis 📅 30 Sept | #BernsteinConference 📍 Poster Session I, #11 abstracts.g-node.org/conference/B...
- Reposted by Mohammad Taha FakharianCurious about similarity metrics? What if we could capture dynamical similarity that’s noise-robust and computationally efficient? (1/4) Check out Fast Dynamical Similarity Analysis 📅 30 Sept | #BernsteinConference 📍 Poster Session I, #11 abstracts.g-node.org/conference/B...
