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<h2>NEUSCI 490: Seminar in Computational Neuroscience</h2>
<p>Computational Neuroscience, in brief, is concerned with the use of computational tools (statistics, ML, simulations, modeling, etc) to study the computations of the brain (perception, decision-making, memory, motor planning, etc). In this course we will hear about the cutting-edge research of leading computational neuroscientists in Seattle in discussion-oriented lectures by the researchers themselves. Homework assignments are short (300 word, ~2 paragraph) written responses to prompts based on reading one of their latest papers, and there are no exams. 1 Credit. This course is ideal for anyone looking for a deep (but sparse) dive into the latest computational neuroscience research, with ample opportunity for direct discussion of the work with the researchers themselves. Feel free to contact me with any questions - [email protected]. See the course catalog entry <ahref="https://myplan.uw.edu/course/#/courses/NEUSCI490">here</a>.
<p>Computational Neuroscience, in brief, is concerned with the use of computational tools (statistics, ML, simulations, modeling, etc) to study the computations of the brain (perception, decision-making, memory, motor planning, etc). In this course we will hear about the cutting-edge research of leading computational neuroscientists in Seattle in discussion-oriented lectures by the researchers themselves. Homework assignments are weekly short (300 word, ~2 paragraph) written responses to prompts based on reading one of their latest papers, and there are no exams. 1 Credit. This course is ideal for anyone looking for a deep (but sparse) dive into the latest computational neuroscience research, with ample opportunity for direct discussion of the work with the researchers themselves. Feel free to contact me with any questions - [email protected]. See the course catalog entry <ahref="https://myplan.uw.edu/course/#/courses/NEUSCI490">here</a>.
