Michael B. Lynn

The paper investigates how 5-HT neurons in the DRN encode and distinguish two excitatory inputs using spike timing and intrinsic cellular mechanisms.

spikeMAP identifies cortical excitatory and inhibitory neurons in high-density multielectrode recordings using spike sorting and experimental validation.

The paper uses an augmented integrate-and-fire model to show that the dorsal raphe network encodes both input intensity and its temporal derivative, with the derivative dominating during rapid input increases.

The paper identifies a slow serotonergic recurrent inhibitory network in the dorsal raphe nucleus that generates non-linear dynamics and winner-take-all computations, affecting reward-conditioned behavior.

The paper develops a synthetic likelihood method to estimate silent synapse fractions, showing it reduces bias and improves statistical power compared to existing methods.