Global Brain

Seth W. Egger
Postdoctoral Associate at McGovern Institute for Brain Research, MIT
Internal models of sensorimotor integration regulate cortical dynamics

SueYeon Chung
BCS Fellow in Computation, MIT
Classification and geometry of neural manifolds, and the application to deep networks

The annual Cosyne meeting provides an inclusive forum for the exchange of experimental and theoretical/computational approaches to problems in systems neuroscience.

Main meeting: 28 February-03 March 2019 in Lisbon, Portugal

Workshops: 04 March-05 March 2019 in Cascais, Portugal

Deep insights into neuromodulation are not only critical to understand the neural basis of intelligence and behavior but also to understand brain dysfunctions underlying disease. The conference will bring together scientists with diverse backgrounds to discuss current concepts and exciting new results in this broad field. Application deadline April 28, 2019

This conference will explore experimental and theoretical approaches to understand the underpinnings of neural dynamics and their relevance for computation in the brain.

Sculpted Light in the Brain is a recurring conference (founded in 2017) aimed at fostering collaborations between neuroscientists, computer scientists, optics researchers, and other scientists who share the common interest of using and developing novel technologies to observe and control neural activity in the awake, behaving brain. “Sculpted Light” refers to a broad class of methods where light is shaped to probe neural function.

This course will provide participants with an in-depth understanding of the principles behind the design and application of these tools, and enable hands-on experience with optogenetic and chemogenetic actuators and with genetically encoded reporters of calcium, voltage and metabolism. Experimental work will span a wide range of systems and experimental preparations, utilizing standard microscopy methods as well as advanced hardware for parallel excitation and imaging of neuronal circuits. In addition to the practical aspects of utilizing these powerful tools, the course will cover the conceptual issues of data analysis and interpretation.

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.

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.

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.

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.