About: Nadine Gogolla

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Nadine Gogolla is a Research Group Leader at the Max Planck Institute of Neurobiology in Martinsried, Germany as well as an Associate Faculty of the Graduate School for Systemic Neuroscience. Gogolla investigates the neural circuits underlying emotion to understand how the brain integrates external cues, feeling states, and emotions to make calculated behavioral decisions. Gogolla is known for her discovery using machine learning and two-photon microscopy to classify mouse facial expressions into emotion-like categories and correlate these facial expressions with neural activity in the insular cortex.

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  • Nadine Gogolla is a Research Group Leader at the Max Planck Institute of Neurobiology in Martinsried, Germany as well as an Associate Faculty of the Graduate School for Systemic Neuroscience. Gogolla investigates the neural circuits underlying emotion to understand how the brain integrates external cues, feeling states, and emotions to make calculated behavioral decisions. Gogolla is known for her discovery using machine learning and two-photon microscopy to classify mouse facial expressions into emotion-like categories and correlate these facial expressions with neural activity in the insular cortex. (en)
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  • B.S. University of Marburg, Germany, M.S. Inserm U546 Paris, France, PhD Friedrich Miescher Institute of Biomedical Research and University of Basel, Postdoctoral work at Harvard University (en)
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  • Charles A. King Trust - Post-doctoral Research Fellowship Award, Human Frontiers Science Program Long-Term Fellowship, Jane Coffin Childs Memorial Fund for Medical Research, Ed Fisher Prize, Best Ph.D. Thesis Award, German National Academic Merit Foundation (en)
dbp:fields
  • Neuroscience (en)
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  • Facial expression reflect emotional states in mice (en)
dbp:name
  • Nadine Gogolla (en)
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  • German (en)
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  • Max Plank Institute of Neurobiology in Martinsried Germany (en)
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  • Nadine Gogolla is a Research Group Leader at the Max Planck Institute of Neurobiology in Martinsried, Germany as well as an Associate Faculty of the Graduate School for Systemic Neuroscience. Gogolla investigates the neural circuits underlying emotion to understand how the brain integrates external cues, feeling states, and emotions to make calculated behavioral decisions. Gogolla is known for her discovery using machine learning and two-photon microscopy to classify mouse facial expressions into emotion-like categories and correlate these facial expressions with neural activity in the insular cortex. (en)
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  • Nadine Gogolla (en)
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  • Nadine Gogolla (en)
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