October 27, 2014
Dr. Beth Cabrera
Researchers in the field of positive psychology have discovered a number of benefits associated with positive emotions. Dr. Cabrera will discuss how these benefits contribute to success and well-being and will highlight specific strategies that can be used to create a more positive workplace where employees can thrive. She will also present a second dimension, in addition to positive emotions, that scientists believe is essential for our well-being.
November 3, 2014
Dr. Robert U. Ayres
I want to present four theses of possible interest. First, that economic theory today has not caught up with the changes in the world since Adam Smith and David Ricardo. Then externalities were comparatively rare and unusual. Today they are pervasive, thanks to urbanization, networking and globalization. The financial externalities associated with bubbles now far exceed in damage the profits to the bubble-makers. Second, economic growth since that time has been demand driven because energy prices kept falling,– on average — until the beginning of this century. Future growth is not guaranteed in a world of “peak oil”, and oil price bubbles. It is not certain that our grandchildren will be much richer than we are. Secular stagnation May be caused by energy constraints. Third, the policy response by central banks – low and lower interest rates, creates the condition for the next bubble. This cannot continue. Fourth, there is a profit opportunity approaching with a huge payoff If grasped it will kickstart growth, reduce unemployment, ameliorate the Greenhouse effect and help solve the problems of the pension funds.
November 10, 2014
Dr. Pascal Fua
Electron microscopes (EM) can now provide the nanometer resolution that is needed to image synapses, and therefore connections, while Light Microscopes (LM) see at the micrometer resolution required to
In this talk, I will therefore present our approach to building the dendritic arborescence, to segmenting intra-neuronal structures from EM images, and to registering the resulting models. I will also argue that the techniques that are in wide usage in the Computer Vision and Machine Learning community are just as applicable in this context.
November 24, 2014
Michelle Harris-Love, PhD, PT
Assistant Professor, Georgetown University Medical Center Department of Rehabilitation Medicine, Interdisciplinary Program in Neuroscience, and Center for Brain Plasticity and Recovery
Research Scientist, MedStar National Rehabilitation Hospital Neuroscience Research Center and Mechanisms of Therapeutic Rehabilitation Laboratory
For over 2 decades, the neural mechanisms of motor recovery in mildly impaired stroke patients with full or partial recovery of hand movements have been widely studied. Comparatively little is known about more severely impaired patients who have little or no voluntary hand movement but retain some voluntary movement of the shoulder and elbow. The latter group is large and represents those in particular need of interventions to enhance recovery. The mechanisms of recovery in upper arm muscles of more severely impaired patients are likely to differ from those identified in recovery of hand movements in patients with mild impairment. The results of recent studies aimed at identifying mechanisms of reaching movement recovery in severely impaired stroke patients will be discussed.
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