Global Brain

Neuropixels probes are transforming neurophysiology, with over 265 laboratories worldwide adopting them in 2019 alone. The probes have 1,000 sites closely spaced on a 1 cm shank, yielding recordings of up to 500 neurons per probe. This practical course aims to train students and postdocs to use these probes and to spike sort using Kilosort and Phy. To apply please fill out this form before January 24, 2020.

TENSS concentrates top-level international expertise to teach a dozen students techniques and concepts in experimental systems neuroscience. We focus on modern optical and electrophysiological methods to study the connectivity and function of neuronal circuits. The course is designed to be intensive and highly interactive, including both lab sessions and theoretical lectures. Coursework will take place in a land of myth and legend, beyond large forests (Transylvania), on the shores of a picturesque natural reserve called Pike Lake. Applications are welcome from interested (and interesting) graduate students and postdocs. Application deadline: March 1st 2020

Neuropixels probes represent a major advance in neural recording technology. The workshop will consist of both interactive seminars and hands-on training sessions, with the goal of teaching you the skills required to set up Neuropixels experiments in your lab. Emphasis will be placed on multi-probe recordings, which take advantage of the unique capabilities of Neuropixels technology. Applications are due by April 1, 2020

Linking Brain Circuits to Behavior: Novel Methods and Biological Insights Derived from Optogenetic Approaches: Optogenetics has revolutionized neurobiology by providing methods to monitor and manipulate the activity of genetically and functionally identified brain cells with light, thus enable testing of the causality of activity to behavior. Although optogenetics is nearly universally used, the proper design and interpretation of optogenetics-based experiments is still challenging. We bring together experts who are providing new innovations in ontogenetic approaches -- such as new sensors, effectors, and microscopes -- with those who are using the approaches to discover the circuit underpinnings of behavior. Application deadline: June 21, 2020

Methods in Computational Neuroscience introduces students to the computational and mathematical techniques that are used to address how the brain solves 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. Students are expected to have a strong background in one discipline, and to have made some effort to introduce themselves to a complementary discipline. Deadline: March 16, 2020 | Apply Here

The Summer Workshop on the Dynamic Brain is an intensive, project-based residential course with a focus on the neurobiology of sensory processing, coding, and neural population dynamics. This program is intended for researchers at the graduate and postdoctoral level with an interest in developing the intersection of their scientific knowledge and their computational skills. Applications are due Thursday, March 19, 2020.

This meeting will gather researchers to discuss how various sensory pathways interface with the neural circuits controlling states: where in brain and body they converge, the dynamics of those interactions and the consequences for behavioral outcomes. Work in diverse species, including mouse, fruit fly and human, will be covered. Deadline to apply: May 20, 2020

UPDATE:
Postponed: COVID-19: Because of the ongoing COVID-19/SARS-CoV-2 outbreak, CSHL and the organizers have reached the difficult decision to postpone the meeting on From Neuroscience to Artificially Intelligent Systems originally scheduled for March 24-28, 2020 until November 8-12, 2020.
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Artificial intelligence (AI) and neural networks have long drawn on neuroscience for inspiration. However, in spite of tremendous recent advances in AI, natural intelligence is still far more adept at interacting with the real world in real-time, adapting to changes, and doing so under significant physical and energetic constraints. The goal of this meeting is to bring together researchers at the intersection of AI and neuroscience, and to identify insights from neuroscience that can help catalyze the development of next-generation artificial systems.