Science Use Cases: Session 1
- Richard Gonzalez (University of Michigan)
Science Use Cases: Session 2
- Mariana Carrasco-Teja (University of Michigan)
Science Use Cases: Session 3
- Brian Arbic (University of Michigan)
Brain machine interfaces or neural prosthetics have the potential to restore movement to people with paralysis or amputation, bridging gaps in the nervous system with an artificial device. Microelectrode arrays can record from hundreds of individual neurons in motor cortex, and machine learning signals can be used to generate useful control signals from this neural activity. Performance can...
Neuroscience is engaging at the forefront of science by dissolving disciplinary boundaries and promoting transdisciplinary research. This is a process that, in principle, can facilitate discovery by convergent efforts from theoretical, experimental and cognitive neuroscience, as well as computer science and engineering. To assure the success of this process the current lack of established...
In this talk I will discuss the storage challenges of ocean modeling, using Navy and NASA ocean models as examples.
This talk will explore how computational science and evolving network
and storage capabilities, together with ongoing improvements in remote
and in-situ sensing, may be poised, possibly like never before, to
have significant impacts on global ocean research. Simultaneous improvements
across network, storage, computation and sensing technologies are beginning
to create a new lens through...
This abstract to be updated shortly
The brain routinely integrates polymodal sensory inputs into a coherent representation of events, which is subsequently stored in memory. A long-standing question in neuroscience is how fleeting experiences can modify neural networks to produce memories that are long-lasting, stable, and robust to interference. The advent of new recording technologies allows investigators to monitor and...