Michael Doron

Michael Doron

PhD Student
ELSC Class
22 (2014)

Michael is interested in the emergent unexpected behaviours of neuroscientific models, focusing on dendritic nonlinearities. In his work, he studies how interactions between biological mechanisms can create phenomena that exceed those expected from each mechanism individually, impacting computation and learning in the brain in unexpected and informative ways.

Using single neuron modelling and dynamic system analysis, Michael studies the phenomena found in the interactions between the spatio-temporal input space of neurons and the ion channels covering the dendritic membrane.

Using probabilistic programming and data science algorithms, Michael works on developing tools for automatically highlighting those interesting phenomena, thus facilitating scientific discovery in computational models.

Supervisors

Dafna Shahaf

Contact information

Goodman building, 2nd floor, Idan Segev lab

Recent publications

Michael Doron, Giuseppe Chindemi, Eilif Muller, Henry Markram, Idan Segev, Timed Synaptic Inhibition Shapes NMDA Spikes, Influencing Local Dendritic Processing and Global I/O Properties of Cortical Neurons, Cell Reports, 2017, https://doi.org/10.1016/j.celrep.2017.10.035