Rodrigo M.M. Santiago

This paper develops an unsupervised method to classify dentate spikes into types 1 and 2 based on waveform features, showing high accuracy and revealing differences in DS characteristics between apoE3 and apoE4 mice.

The paper adapts an attractor network model to simulate experimental findings on memory reconsolidation boundary conditions, showing compatibility with synaptic labilization dynamics.