Society for Neuroscience 2016

Society for Neuroscience 2016

Meet scientists from the Allen Institute for Brain Science at this year's Society for Neuroscience conference. Vist us at booth #402, attend our talks and events, keep up with us on social media (#sfn16), and stop by one of our many posters. You will also have an opportunity to preview Semantic Scholar, a new tool from the Allen Institute for Artificial Intelligence, at our booth.

Visit our booth

Come see us at booth #402 where we will host demonstrations of our resources and provide a helpful platform for you to learn about how our tools can help advance your science.

SfN 2015

View a slideshow of photos from our booth at SfN 2015 above.


Satellite SymposiumSAT33 - Human Brain Project Collaborative Neuroscience and Enabling Infrastructure 
Speaker: Terri Gilbert, "Worldwide initiatives complementary to the HBP platform"
Date & Time: Friday, November 11, 1:00-5:00pm 
Location: Manchester Grand Hyatt San Diego: Cortez Hill 
This symposium brings together researchers and engineers from the Human Brain Project (HBP) with the larger neuroscience community to discuss how the HBP Platforms can help and accelerate the expansion and utilisation of the HBP scaffold brain models by the community. We will provide an introduction to the Human Brain Project web-based platforms. Register and view more information on the HBP website.  

Session: SPC07B - Meet-the-Expert, Session 2: Hongkui Zeng - Decoding Cellular Diversity in the Brain
Date & Time: Saturday, November 12, 9:30-10:45am
Location: Manchester Grand Hyatt San Diego: Mission Beach
In this session, Hongkui Zeng will discuss her research team’s experience in developing cell type-specific mouse genetic tools; in using these tools to profile single cell properties at different levels and to determine how these properties correlate with each other; and in mapping their interconnections at both anatomical and physiological levels. Zeng will highlight the features of the Allen Institute for Brain Science’s large-scale databases, which collectively provide an integrated resource to the neuroscience community to facilitate the investigation of the cellular diversity, circuit composition, and circuit function.

Session: 019 - Genetic Techniques
Chair and Speaker: Lu Li, "An automated platform for single-cell electrophysiology and perturbation In vivo"
Date & Time: Saturday, November 12, 1:00-4:15pm
Location: SDCC 25A

Social: SOC09 - Neuroinformatics Social
Special Guest: Hongkui Zeng
Date & TIme: Sunday, November 13, 6:45-845pm
Location: Marriott Marquis San Diego Marina: Grand Ballroom 13
A web of interconnecting connectomes! Interested in macro-, meso-, or micro-connectivity? Synaptomes and projectomes might not be scale-free networks, but it’s still a small-world: from electron microscopy to resting state fMRI, neuroinformatics can help! Join us for a pleasant evening to find and recommend the latest resources, tools, datasets, and standards. Don't miss this opportunity to network with connectomics leaders, connect with network experts, and start new collaborations!

Session: 277 - Human Brain Development and Maturation: Animal Brain Mapping, Human Brain Imaging, and Computer Simulation
Speaker: Jeremy Miller, "Transcriptomic features of primate brain development"
Date & Time: Monday, November 14, 8:30-11:00am
Location: SDCC 28A
The fundamental goal of neuroscience is to understand the human brain. With this goal in mind, comprehensive data collection and analysis have begun in each scientific area and in countries around the world. However, these datasets need to be connected to one another beyond the methodological principles to reach the final goal. This session will discuss a proposal for a symposium in which investigators from representative nation-level projects can meet and discuss how to work together for the future of neuroscience.

Session: 279 - Mesoscale Imaging of Cortical Function and Dysfunction in Mice
Chair and Speaker: Jack Waters, "Mesoscale imaging of cortical visual areas and visually-guided behaviors"
Speaker: Jennifer Whitesell, "Functional and structural connectivity of the default mode network in wild type and Alzheimer’s mice"
Date & Time: Monday, November 14, 8:30-11:00am
Location: SDCC 29D
The skulls of mice are relatively transparent, permitting relatively non-invasive optical access to the neocortex. This minisymposium presents six recent studies that have leveraged optical access and activity-dependent indicators and opsins to probe the function and dysfunction of the neocortex at the "mesoscale" recording and modulating the activities of cortical areas in mice performing behavioral tasks.

Session: PDW14 - Teaching Neuroscience With Big Data
Speaker: Terri Gilbert
Date & Time: Monday, November 14, 9:00-11:00am
Location: SDCC 31C
Neuroscience has entered the realm of big data with "neuroinformatics," the study of the brain and nervous system using massive datasets. Although many of these data collections began as closed repositories of research data, a number of them are now open for use in teaching. The workshop will introduce four examples of neuroscience "big data" collections, and demonstrate how these open datasets have been used to teach students. The collections are the Allen Brain Atlas, the Mouse Brain Library and Gene Network, the Open Connectome Project, and Open fMRI. The workshop will conclude by discussing general resources and curricula for teaching neuroinformatics, which is a new and developing area of expertise for most faculty.

Session: 376 - Mammalian Nervous System Cell Types: CNS Diversity Through the Lens of Single-Cell RNA Sequencing (RNA-seq)
Chair and Speaker: Bosiljka Tasic, "Cellular taxonomy of visual thalamus and cortex by single cell transcriptomics"
Date & Time: Monday, November 14, 1:30-4:00pm
Location: SDCC 6E
The brain contains a myriad of highly specialized cells, but comprehension of the gene expression programs that produce this cell-type diversity is incomplete at best. This session highlights pioneering work from multiple groups using single-cell RNA-seq approaches to characterize cells from the developing and adult CNS in mice and humans. These studies lay the groundwork for a new taxonomy of nervous system cells and create new opportunities for investigating CNS function and development.

Session: 477 - Multiscale Connectomics: Maps, Models, and Mechanisms
Speaker: Julie Harris, "The Allen mouse connectivity atlas: A comprehensive map of long distance cell type-specific projections"
Date & Time: Tuesday, November 15, 8:30-11:00am
Location: SDCC 6E
Neural networks are organized over resolution scales that span several orders of magnitude. A comprehensive understanding of the brain is thus contingent on integrating information across scales. This session will present the latest findings from studies of brain connectivity at scales ranging from the micro (<1 µm) to macro (>1 mm). The session will focus on methods for network mapping, models of brain network structure and dynamics, and the molecular mechanisms that drive network organization.

Session: 763 - Nanoscale Neurocartography: Approaches and Theory for Inference and Analysis of Synaptomes and Connectomes
Speaker: Forrest Collman, "Mapping synapses with conjugate light-electron array tomography"
Date & Time: Wednesday, November 16, 1:30-4:00pm
Location: SDCC 6E
Neurocartography at the resolution of individual neurons and their synapses is now possible in state-of-the-art datasets. Although much is known about individual brain cells and low-resolution cortical circuits, research to create and explore biofidelic maps of mesoscale cortical circuitry is still in its infancy. This session will provide theory and tools to help address these challenges, and motivate researchers interested in this topic through both methodological and scientific progress.

Semantic Scholar

With millions of research papers published every year, there is a huge information overload in scientific literature search. Semantic Scholar leverages artificial intelligence expertise to help researchers find the most relevant information efficiently. Developed by the Allen Institute for Artificial Intelligence, Semantic Scholar utilizes methods from data mining, natural-language processing, and computer vision to create powerful new search and discovery experiences for researchers.

At the Society for Neuroscience conference, the Allen Institute for Artificial Intelligence will launch the first collection of neuroscience research on Semantic Scholar. With more than 7.7 million academic articles in the database, neuroscience and computer science researchers are able to quickly find the research that they need, ultimately leading to breakthrough discoveries.

Visit Semantic Scholar to use this resource for your own research.

11/12/2016 to 11/16/2016


Stop by one of our more than 45 posters to learn about the latest research taking place at the Allen Institute.