In this lecture, Mark Liberman will describe the origins and development of the ‘Common Task’ method in DARPA’s human language technology program, its broader influence on recent research and development practices, and its lessons for the future.
Advanced data generation capabilities require other enhanced abilities — with increasing data size and complexity, the development of more efficient acquisition and analysis methods is essential. In this lecture, Lawrence R. Frank will discuss how this new paradigm of imaging exploration is manifest.
Stochastic optical reconstruction microscopy (STORM), breaks the diffraction limit on light microscopy by using selective activation of photo-switchable fluorescent probes to temporally separate the spatially overlapping images of individual molecules. This approach has allowed multicolor and 3-D imaging of living cells with nanometer-scale resolution, enabling discoveries of novel sub-cellular structures. In this talk, Prof. Zhuang will discuss her group's development of STORM and its biological applications.
The Bonini laboratory focuses on applying the extraordinary power of a very simple model organism — the fruit fly Drosophila — to the complex problem of human neurodegenerative disease.
In this lecture, Michael Oppenheimer will describe the physical mechanisms causing observed increases in sea level.
In this lecture, Sonya Dyhrman will focus on photosynthetic microbes called phytoplankton, highlighting the critical and beneficial roles that phytoplankton play in marine systems.
In this lecture, Alfred V. Aho will discuss the role that software plays in the modern world.
David W. Hogg will explore how planets are discovered in the Kepler dataset, how the data are understood and how researchers can make inferences about the full population of planets in the galaxy.
This lecture will explore algorithms for estimating the unknown pose parameters. The main focus will be on algorithms that are based on semidefinite programming relaxations that can be viewed as extensions to existing approximation algorithms to max-cut and unique games, two fundamental problems in theoretical computer science.
Everything around us — everything each of us has ever experienced and virtually everything underpinning our technological society and economy — is governed by quantum mechanics. Yet this most fundamental physical theory of nature often feels like a set of somewhat eerie and counterintuitive ideas of no direct relevance to our lives. Why is this? One reason is that we cannot perceive the strangeness (and astonishing beauty) of the quantum mechanical phenomena all around us by using our own senses.
Recent studies have implicated adult-born hippocampal neurons in pattern separation, a process by which similar experiences or events are transformed into discrete non-overlapping representations. Impaired pattern separation, Dr. Hen proposes, underlies the overgeneralization often seen in age-related memory impairments and in anxiety disorders. Dr. Hen will present evidence that strategies aimed at stimulating hippocampal neurogenesis result in improved pattern separation.
This lecture explores the biological bases of critical periods in brain development. Mechanisms that open and close windows of plasticity (E/I balance and molecular brakes, respectively) are implicated in autism, suggesting mistimed maturational processes that can be strategically rescued at the circuit level.
In this lecture, Yael Niv will argue that the key to learning efficiently in real-world scenarios is to use a simplified representation of the task that includes only those dimensions of the environment that are relevant to obtaining reward.
Thursday, October 22nd – Friday, October 23rd, 2015 Download the 2015 Annual Meeting booklet (PDF). The Mathematics and Physical Sciences Annual Meeting gathered together Simons Investigators, Simons Fellows, Simons Society of Fellows and Math + X Chairs and Investigators to exchange ideas through lectures and informal discussions in a scientifically stimulating environment. Agenda Thursday, October...
In this lecture, Catherine Dulac will discuss the cellular and molecular architecture of neural circuits underlying instinctive social behaviors of mice. She will describe her group’s recent advances in uncovering the identity of sensory neurons that detect social cues and the identity of command circuits associated with specific social responses in male and female mice.
This Biotech Symposium will focus on clinical and translational genomics and the shift to precision medicine.
The study of genes and social behavior is still a young field. In this lecture, Gene E. Robinson will discuss some of the first insights to emerge that describe the relationship between them. These include the surprisingly close relationship between brain gene expression and specific behavioral states; social regulation of brain gene expression; control of social behavior by context-dependent rewiring of brain transcriptional regulatory networks; and evolutionarily conserved genetic toolkits for social behavior that span insects, fish and mammals.
In this lecture, David S. Mandell will talk about why autism interventions rarely are implemented in community practice and why they fail to achieve the same outcomes as those observed in clinical trials.
Prime numbers have intrigued mathematicians, amateur and professional alike, for thousands of years. Some of the most pertinent questions today probably stem from classical times. In this lecture, Dr. Granville will discuss some well-known patterns in the primes and explain some of the latest progress.
