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Network architecture from data


We introduce methods for inference of black-box networks’ wiring (with unknown connectivity map). Our tools link between reduction of time-series and reduction of models to produce optimization routines for connectivity calibration. We have recently inferred a prototype of the antennal lobe, primary olfactory processing unit in insects, from multi-neuron recordings, and are currently working on recovering the complete connectome of the antennal lobe, and coding it on a microchip. We also collaborate on the recovery of the connectome of other neural systems.


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