Rui Cao

This paper proposes a continuous attractor neural network model that implements decision making through complementary ramping and sequential neural responses, reproducing diffusion decision model behavior.

This study identifies astrocytic calcium-event sequences in the dorsal hippocampus during learning and memory tasks, showing they encode time-compressed information similar to neuronal time cells.

The paper analyzes rodent mPFC neurons during an interval reproduction task and identifies two cell groups with distinct firing patterns that encode time to past and future events using real Laplace transforms.

This study shows that time cells in the rodent hippocampus represent time on a logarithmic scale, consistent with the Weber-Fechner Law.