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  • Oct 9, 2024 | thetransmitter.org | Olivia Gieger |Nancy Padilla-Coreano |Kevin G. Bender |Brendan Borrell

    Former news reporting internThe Transmitter Share this article: Tags: Craft and careers, Academia, Art in science, Arts, Computational neuroscience, Modeling, Science and society Kanaka Rajan says it took her twice as long as it should have to complete her Ph.D. in computational neuroscience—because she had to decipher “inscrutable physics papers. It turns out, they weren’t that hard.

  • Sep 30, 2024 | thetransmitter.org | Nancy Padilla-Coreano |Olivia Gieger |Kevin G. Bender |Angie Voyles Askham

    In the early 20th century, neuroscience, like many other sciences, was mostly a solitary profession. Numerous seminal papers had single authors—or two at most. Clearly, things have changed. As a young principal investigator, I have come to appreciate that scientific skills practiced alone are no longer sufficient for my students to succeed.

  • Sep 20, 2024 | thetransmitter.org | Olivia Gieger |Victor Llorente |Kevin G. Bender |Angie Voyles Askham

    Former news reporting internThe Transmitter Share this article: Tags: Craft and careers, Academia, Arts, Science and society This June, hordes of filmmakers flocked to Sheffield, England, for the country’s largest documentary film festival, Sheffield DocFest. Among them was Pei Yuan Zhang, who had just received her Ph.D. in cognitive science at New York University and was the only amateur to present.

  • Sep 13, 2024 | thetransmitter.org | Angie Voyles Askham |Paul Middlebrooks |Jill Adams |Kevin G. Bender

    Senior reporterThe Transmitter Share this article: Tags: Dopamine, Computational neuroscience, Decision-making, Electrophysiology, Learning, Modeling, neural coding, Reward system, Striatum, Systems neuroscience Nathaniel Daw has never touched a mouse. As professor of computational and theoretical neuroscience at Princeton University, he mainly works with other people’s data to construct models of the brain’s decision-making process.

  • Sep 13, 2024 | thetransmitter.org | Naoshige Uchida |Angie Voyles Askham |Kevin G. Bender |Paul Middlebrooks

    How do animals learn from experiences? An influential idea is that animals constantly make predictions and compare them with what actually happens. When their predictions fail to align with reality, they adjust them. When there is no discrepancy, there is no need for learning. In other words, it is the surprise, or “prediction error,” that drives learning. In the brain, dopamine is thought to provide a type of surprise signal.

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