Etienne Ackermann

This paper introduces a clusterless decoding method using a switching Poisson hidden Markov model to analyze neural data without spike sorting, showing it can recover model parameters and uncover task-relevant structure from real data.

The paper presents an open-source, real-time system for detecting and disrupting hippocampal sharp-wave ripples with performance metrics and strategies for improvement.

This study uses hidden Markov models to analyze population burst events in hippocampal activity, revealing temporal replay sequences and spatial maps without relying on the place code.