Dr Andre Ferreira Castro
http://aferreiracastro.com (personal home page)
So far my research has been driven by a deep fascination for the shape–function relationship in neuroscience. I have been particularly interested in understanding how different neuronal structural patterns provide the background for complex manipulations of sensory and biological signals. Due to technological advancements in electronic microscopy, neuroscience entered an exciting new phase where whole-circuit modelling and comparative connectomics are a reality, with numerous fascinating questions becoming amenable for scientific probing for the first time. My multi-disciplinary research combines neuroscience, computational modelling, applied mathematics and machine learning. It aims at discovering new neurobiological mechanisms that will deepen our understanding of neuropsychiatric disorders, as well as inform a path towards more efficient machine learning algorithms.
Electrophysiological recording techniques
Associated News Items
Ferreira Castro, A., Baltruschat, L., Bahrami, A., Stuerner, T., Jedlicka, P., Tavosanis, G., Cuntz, H. (2020), “Achieving functional neuronal dendrite structure through sequential stochastic growth and retraction” elife. doi: 10.7554/eLife.60920
Stuerner, T., Ferreira Castro, A., Philipps, M., Cuntz, H., Tavosanis, G (2022), “The branching code: a model of actin-driven dendrite arborisation.” https://www.sciencedirect.com/science/article/pii/S2211124722005101