Events

Designed to emphasize higher cognitive functions and their underlying neural circuit mechanisms, the course aims at training talented and highly motivated students and postdoctoral fellows from Asia and other countries in the world.

Through a combination of lectures and hands-on experience with MATLAB-based computer tutorials and projects, this intensive course will examine visual information processing from the retina to higher cortical areas, spatial pattern analysis, motion analysis, neuronal coding and decoding, attention, and decision-making. Applications due: March 31

The sessions within the 2018 Gordon Conference for the Neurobiology of Cognition span areas of cognitive neuroscience most relevant for understanding how circuits in the brain give rise to important elements of how we think, feel, act, decide, plan, and learn. The conference casts a wide net and is designed to spark new avenues for discussion among participants whose paths might not normally cross. Application deadline: June 24, 2018

This course introduces students to the computational and mathematical techniques that are used to address how the brain solves these problems at levels of neural organization ranging from single membrane channels to operations of the entire brain. Deadline: March 20, 2018

This intensive two-week, project-based interdisciplinary course aims to give advanced students in neuroscience, biology, physics, engineering and computer science a rapid introduction to the current state of understanding of the neurobiology of sensory processing, coding, and neural population dynamics. In addition, the course makes extensive use of data science tools for team-based projects and computational tools for analysis of large-scale and multimodal neural datasets. Application deadline: April 1, 2018

CCN is a forum for discussion among cognitive science, neuroscience, and artificial intelligence researchers dedicated to understanding the computations that underlie complex behavior. The paper submission deadline: May 25, 2018.

Presentations will highlight advances in the development and use of new genetic reagents for the exogenous control of neural circuit activity, including naturally evolved light-gated ion channels and pumps, mutagenized temperature-sensitive synaptic transmission components, rationally designed photo-switches, "orthogonal" drug/receptor pairs and others. Application deadline: May 16, 2018

A major goal of this school is to serve as a bridge between experimental and theoretical neuroscientists addressing system-level questions. The school is intended for graduate students and postdocs, primarily from the Middle East and the Mediterranean region either working in their home countries or abroad. Deadline: April 30th, 2018

We will showcase the development of cutting-edge tools and technology for imaging, from cells to intact animals. Sessions will cover the design and discovery of new fluorescent proteins (and intriguing alternatives), and their incorporation into sensors for signaling molecules and cellular states.
Application deadline: May 23, 2018

This workshop is intended as a "by the students, for the students" meeting. Participants will include only students and postdocs doing theoretical neuroscience research. Attendees will present their own work, as well as a more in depth tutorial on the techniques used in their research. The goal is to encourage uninhibited and detailed technical discussion among young theoreticians, a deeper understanding of the diverse techniques used in modern theoretical neuroscience, and hopefully a stronger sense of community. Application deadline: June 8, 2018

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.