Next: biological networks.
We applied UNITE to V4 activity (PSTH) from a monkey doing a visual cognitive task. 🐒👁️
Next: biological networks.
We applied UNITE to V4 activity (PSTH) from a monkey doing a visual cognitive task. 🐒👁️
First test: an RNN solving a cognitive task.
UNITE identify state transitions without supervision. 🔍
First test: an RNN solving a cognitive task.
UNITE identify state transitions without supervision. 🔍
Finally, we highlight cases where FastDSA outperforms other dynamical similarity metrics—while remaining robust to noise.
Finally, we highlight cases where FastDSA outperforms other dynamical similarity metrics—while remaining robust to noise.
Next, we present experiments showing why geometrical methods fail.
Both DSA and FastDSA achieve similar results—but FastDSA is 10–15× faster.
Next, we present experiments showing why geometrical methods fail.
Both DSA and FastDSA achieve similar results—but FastDSA is 10–15× faster.
We first outline the general structure of the algorithm.
We first outline the general structure of the algorithm.
We first outline the general structure of the algorithm.
We first outline the general structure of the algorithm.