Events
Past Events
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.
- Related
Methods in Computational Neuroscience introduces students to the computational and mathematical techniques that are used to address how the brain solves complex problems at levels of neural organization ranging from single membrane channels to operations of the entire brain. This course is appropriate for graduate students, postdocs and faculty in a variety of fields, from zoology, ethology, and neurobiology, to physics, engineering, and mathematics.
- Related
This workshop, held in affiliation with the CNS*2019 conference, will bring together a diverse panel to discuss new advances and unanswered questions related to the identification and computational role of neural manifolds. The workshop will be split into two sessions. In the first, we will focus on theoretical and experimental work exploring the role of manifolds in neural computation. In the second session we will begin to merge the theory with mathematical and methodological considerations.
- Related
This is a 3-week course in which we aim to 1) teach students the theoretical foundation of the techniques (weeks 1 and 2), 2) provide them with sufficient practical experience to design an experimental miniproject (week1) which will be carried out (weeks 2 and 3) so that they will be able to establish these approaches when they return to their laboratories.
- Related
This course is designed to help neuroscience practitioners to develop the conceptual and practical capabilities to meet the challenges posed by the analysis of these hard-won and large data-sets. We will emphasize statistical issues such as the pre-processing of data, sampling biases, estimation methods and hypothesis testing as well as data wrangling (in MATLAB). We will work with data from a variety of recording technologies including single- and multi-electrode extracellular recordings, local field potentials and EEG as well as two-photon and wide-field optical imaging. Application Deadline: April 1, 2019
- Related
The purpose of the Organization for Computational Neurosciences is to create a scientific and educational forum for students, scientists, other professionals and the general public to learn about, to share, to contribute to, and to advance the state of knowledge in computational neuroscience. The Annual CNS Meeting which serves as a forum for young scientists to present their work and to interact with senior leaders in the field.
- Related
- Previous Page
- Viewing
- Next Page