Neurobiology and Genetics

    Federico Milani

    Research Interest

    One of the most complicated and intriguing objects known to humanity can be found right inside our own head: the human brain. Despite the fact that humans have been fascinated with their brain for centuries, even simple nervous systems, like those of a worm or a fly, remain beyond our grasp. In the last decades, a huge effort has been made to advance our knowledge about the nervous system, but we are still a long way from being able to claim that we ‘understand’ the brain. Studying the brain remains challenging because the experiments we can carry out with the available techniques focus either on single neurons with a high level of precision, or on larger networks and brain areas at the price of losing information about sub-threshold neuronal dynamics. Unfortunately, most of the functions of the nervous system arise from global network activity, but we cannot record all the neurons with high precision at the same time. In this situation, computational models come to our aid, allowing us to develop an insight into the properties of neural networks at a global level, which are difficult or impossible to measure with empirical approaches. These data can then be exploited to ­design better experiments and to create new, improved hypotheses about network functions.

    Modulatory neurons are key to understanding complex neural networks since they enable flexible, adaptive processing of external sensory cues and internal state signals. Since the complexity of these systems is quite high, Federico’s goal is to develop a computational model to understand how the ensemble of neuromodulators acts together to mediate flexible sensorimotor processing and adjust the metabolism of flies to ever-changing external and internal demands. To this end, Feffo is combining patch-clamp recordings from modulatory neurons and sensorimotor pathways with Hodgkin-Huxley type modeling approaches. 

    Federico holds a Bachelor’s degree in Natural Sciences and a Master’s degree in Neurobiology from La Sapienza-University of Rome, Italy. He also attended a one-year master course at the Advanced School in Artificial Intelligence (AS-AI) held by the Institute of Cognitive Sciences and Technologies, National Research Council (CNR-ISTC) of Rome. Thus, he acquired the necessary skills to complete his MSc thesis in computational neuroscience under the supervision of Dr. Gianluca Baldassarre in the same institute (CNR-ISTC).

    Awards & Fundings