Brain enabled by next-generation neurotechnology: using multiscale and multimodal models.
IEEE Pulse
; 3(2): 31-6, 2012 Mar.
Article
en En
| MEDLINE
| ID: mdl-22481743
ABSTRACT
As many articles in this issue of IEEE Pulse demonstrate, interfacing directly with the brain presents several fundamental challenges. These challenges reside at multiple levels and span many disciplines, ranging from the need to understand brain states at the level of neural circuits to creating technological innovations to facilitate new therapeutic options. The goal of our multiuniversity research team, composed of researchers from Stanford University, Brown University, the University of California at San Francisco (UCSF), and the University College London (UCL), is to substantially elevate the fundamental understanding of brain information processing and its relationship with sensation, behavior, and injury. Our team was assembled to provide expertise ranging from neuroscience to neuroengineering and to neurological and psychiatric clinical guidance, all of which are critical to the overarching research goal. By employing a suite of innovative experimental, computational, and theoretical approaches, the Defense Advanced Research Projects Agency (DARPA) Reorganization and Plasticity to Accelerate Injury Recovery (REPAIR) team has set its sights on learning how the brain and its microcircuitry react (e.g., to sudden physiological changes) and what can be done to encourage recovery from such (reversible) injury. In this article, we summarize some of the team's technical goals, approaches, and early illustrative results.
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Encéfalo
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Neurociencias
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Ingeniería Genética
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Bioingeniería
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Modelos Neurológicos
Tipo de estudio:
Guideline
Límite:
Animals
Idioma:
En
Revista:
IEEE Pulse
Asunto de la revista:
ENGENHARIA BIOMEDICA
Año:
2012
Tipo del documento:
Article
País de afiliación:
Estados Unidos