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 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.

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.

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.

A Mediterranean, Middle Eastern Summer School in Neuroscience. This ten-day summer school will primarily consider the neural basis and computational principles underlying decision making in sensory-motor tasks, in which the agent chooses from a small number of actions based on sensory and operant cues. Students will attend lectures delivered by leading neuroscientists and will work in groups on small research projects. The school is intended for graduate students and postdocs, primarily (but not only) from the Middle East and the Mediterranean region, either working in their home countries or abroad. We will consider applicants with some background in related fields in neuroscience or cognitive psychology. Deadline May 5, 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.

IBRO aims to promote neuroscience research and communication among researchers around the world. One of its foremost emphasis is on supporting education of young investigators in developing countries. Deadline to submit and abstract: May 15, 2019

SfN's 49th annual meeting is the premier venue for neuroscientists to present emerging science, learn from experts, forge collaborations with peers, explore new tools and technologies, and advance careers. Deadline to submit abstracts: May 2 5pm EDT.

Interested in cutting-edge neuroscience tools & technology? Come ‘talk shop’ with some of the leading toolmakers funded by the US BRAIN Initiative. Through the BRAIN Initiative, a broad array of these tools and resources are becoming available to the research community. This informal and interactive social is open to all SfN attendees. For a list of confirmed featured scientists and other updates visit: www.braininitiative.org/events/sfn-social/ Funded by the BRAIN Initiative Alliance.

This workshop is intended as a "by the students, for the students" meeting. Participants will include only students and postdocs doing theoretical neuroscience research. Over the course of the week, attendees will give 20-minute research talks on their work, as well as in-depth 45-minute tutorials on theoretical techniques relevant to their research. Deadline to apply: July 12, 2019

ISi-CNI is an opportunity for African and international students to learn about cutting edge research techniques in computational neuroscience. This school aims to promote computational neuroscience in Africa by bringing together international and local students under the tutelage of world-leading experts in the field. The format will be a combination of intensive lectures on advanced topics in computational and theoretical neuroscience as well as practical exercises in simulation and data analysis. Deadline to apply: July 1, 2019