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.
