Dr Andre Ferreira Castro

Interests

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.

Research Focus

Keywords

Computational Neuroscience

Connectomics

Development

Structure-Function

Information Processing

Clinical conditions

No direct clinical relevance

Equipment

Calcium imaging

Computational modelling

Confocal microscopy

Electrophysiological recording techniques

Microscopy

Collaborators

Cambridge

Albert Cardona

Tomke Stuerner

International

Amirhoushang Bahrami Web: https://www.ds.mpg.de/plm/bah...

Hermann Cuntz Web: https://www.treestoolbox.org/hermann/

Ashok Litwin-Kumar Web: https://zuckermaninstitute.columbia.edu/ashok-l...

Adrian Moore Web: https://cbs.riken.jp/en/facu...

Gaia Tavosanis Web: https://www.dzne.de/en/rese...

Associated News Items


    Key publications

    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

    Publications

    2022

    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