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Welcome to Neurotechnology Group

Our laboratory headed by Prof. Dr. Mehmet Fatih Yanik is developing advanced technologies to communicate with, and to non-invasively manipulate brain circuits and subsequent cognitive behaviours for both therapeutics of brain disorders and fundamental understanding of cognition.

We are also developing cognitively challenging paradigms at the core of major brain disorders such as Autism and Schizophrenia; yet also important for robotics and AI where good computational models currently do not exist (such as imitation learning, accurate analogy/insight generation, and rule generalisation using virtual environments).

 

PROJECTS: We MAY have available projects in the lab for undergraduate, master's, PhD level students, and postdocs. Please contact Prof. Mehmet Fatih Yanik directly with your CV/transcript (yanik at ethz dot ch).


Bridge Discovery Award to Prof. Yanik’s team for translating non-invasive focal brain drug delivery technology to clinic

Treatment of brain disorders such as depression, anxiety, schizophrenia and epilepsy remain a formidable challenge despite the significant advances made in our understanding of the basic neurobiology. In addition to reasons for therapeutic failures specific to each brain disorder, there is a common underlying problem: Brain disorders often originate from dysfunctions of specific brain regions and circuits. Yet, clinically non-invasive treatments rely on systemic drugs and are incapable of targeting desired brain areas and circuits specifically with chemical precision. Prof. Yanik and his team recently developed a novel technology for non-invasive focal drug delivery to the brain circuits using focused ultrasound (external pagehttps://www.nature.com/articles/s41467-020-18059-7). While this technology's intense development has been supported by ERC Consolidator award, the SNSF and Innosuisse now granted 2.2 Mio CHF to translate this technology to clinic. Together with neurosurgeon Dr. Michael Hugelshofer (University Hospital Zurich), and Dr. Henning Richter (Vetsuisse Faculty), Prof. Yanik’s team will demonstrate the efficacy and safety of this drug delivery technology in preclinical large-animal models.


Our paper is cover of Nature Machine Intelligence April 2022
"Deep-learning-based identification, tracking, pose estimation and behaviour classification of interacting primates and mice in complex environments" paper at the cover of Nature Machine Intelligence

Awake animal neuronal activity imaging
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