Events

The NWB:N User Days will be devoted to helping users understand and adopt NWB:N, a data standard for neurophysiology that provides neuroscientists with a common standard to share, archive, use, and build common analysis tools for neurophysiology. We encourage anyone interested in using NWB:N in their research to register. More information about the event here. Please register here if you would like to attend. Lodging will be provided by the HHMI Janelia campus and travel will be reimbursable through the Kavli Foundation. Please email Ben Dichter (bdichter@lbl.gov) and Oliver Ruebel (oruebel@lbl.gov) with any questions. NWB:N User Days will be followed by the NWB:N Developer Hackathon.

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

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. Application deadline – 3rd March 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.

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 around the world. We welcome both applicants with quantitative backgrounds (including Physics, Mathematics, Engineering and Computer Science) and those with experimental backgrounds.

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 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

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.

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. Applications are due April 1, 2019.

CCN is a forum for discussion among cognitive science, neuroscience, and artificial intelligence researchers dedicated to understanding the computations that underlie complex behavior. More information on organizers' vision for CCN is available in this TICS commentary paper.