| Dear all, Application deadline is soon approaching for the Cajal Course in Computational Neuroscience. Come spend three sunny weeks in Lisbon and deepen your knowledge about computational neuroscience! *** Course dates: July 15th - August 4th, 2024 (Lisbon, Portugal) *** *** Application deadline: February 19th 2024 *** Please check our Course details https://cajal-training.org/on-site/computational-neuroscience-2024/ and Application Form https://form.jotform.com/240055127475352. Computational Neuroscience is a rapidly evolving field whose methods and techniques are critical for understanding and modelling the brain, and also for designing and interpreting experiments. Mathematical modelling is an essential tool to cut through the vast complexity of neurobiological systems and their many interacting elements. This course teaches the central ideas, methods, and practices of modern computational neuroscience through a combination of lectures and hands-on project work. During the course’s mornings, distinguished international faculty deliver lectures on topics across the entire breadth of experimental and computational neuroscience. For the remainder of the time, students work on research projects in teams of 2 to 3 people under close supervision of expert tutors and faculty. Research projects are proposed by faculty before the course, and include the modeling of neurons, neural systems, and behavior, the analysis of state-of-the-art neural data (behavioral data, multi-electrode recordings, calcium imaging data, connectomics data, etc.), and the development of theories to explain experimental observations. Course Directors: *Julijana Gjorgjieva* (Max Planck Institute for Brain Research, Germany) *Alfonso Renart* (Champalimaud Research, Portugal) *Maria Geffen* (University of Pennsylvania, USA) *Brent Doiron* (University of Chicago, USA) Confirmed Speakers: *Rafal Bogacz* (Oxford, UK) *Alex Cayco-Gajic *(Ecole Normale Superieure Paris, France) *Christine Constantinople* (NYU, USA) *Brent Doiron* (University of Chicago, USA) *Adrienne Fairhall* (U Washington, USA) *Julijana Gjorgjieva* (Max Planck Institute for Brain Research, Germany) *Ken Harris* (UCL, UK) *Maria Geffen* (University of Pennsylvania, USA) *Gilles Laurent* (Max Planck Institute Frankfurt, Germany) *Ashok Litwin-Kumar* (Columbia, USA) *Christian Machens* (Champalimaud, Portugal) *Jakob Macke* (University of Tubingen, Germany) *Srdjan Ostojic* (Ecole Normale Superieure Paris, France) *Agostina Palmigiano* (UCL, UK) *Joe Paton* (Champalimaud, Portugal) *Alfonso Renart* (Champalimaud Research, Portugal) *Cristina Savin* (NYU, USA) *Nate Sawtell* (Columbia, USA) *Tim Vogels* (IST, Austria) Course Content: This course is designed for graduate students and postdoctoral fellows from a variety of disciplines, including neuroscience, physics, electrical engineering, computer science, mathematics and psychology. Students are expected to have a keen interest and basic background in neurobiology, a solid foundation in mathematics, as well as some computing experience. A four-day pre-school in mathematics and programming is offered for students that want to catch up on their math and programming skills. A maximum of 24 students will be accepted. Students of any nationality can apply. We specifically encourage applications from researchers who work in the developing world. All students will be selected according to the normal submission procedure. Applications will be assessed by a selection committee, based on the following criteria: the scientific quality of the candidate (CV), evidence that the course will afford substantial benefit to the candidate (motivation letter), and the recommendation letters. Please contact our course organizer with questions: Mette Kienhorst --- mette.kienhorst@xxxxxxxxxxxxxxxxxxxxxxxxxx With kind wishes, -Maria ______________________________ Maria N. Geffen, Ph.D. (she/her) Professor Department of Otorhinolaryngology Department of Neuroscience Department of Neurology Co-Director, Computational Neuroscience Initiative Stemmler Hall G14 3450 Hamilton Walk Philadelphia PA 19104 (215)898-0782 mgeffen@xxxxxxxxxxxxxxxxxxxxxx My zoom room Follow me @geffenlab@mastodon.world http://hosting.med.upenn.edu/hearing Twitter: @neimarkgeffen |