Dr. Martin Stemmler

Optimality Principles in Neural Design

• Energy consumption by neurons with different spike shapes (collaboration with Biswa Sengupta and Simon Laughlin, Cambridge).
  

• The phase response curve and optimal information transmission in  regularly spiking neurons

• Pattern formation and spontaneous activity in  cortex.

• Computation using dendritic spikes

• "Learning to Spike'' - self-organization rules for how neurons can change the mix of conductances to realize temporal filters, changing

     passive neurons into active, spiking neurons without a teacher

PhD in Computational Neuroscience from the California Institute of  Technology