ELSC is one of the few places in the world that approaches brain science by integrating different disciplines into a theoretical framework that encompasses all areas of research under investigation.
Incorporating knowledge from a variety of seemingly unrelated academic and scientific specialties – biology, life sciences, physics, computer science, mathematics, statistics, psychology and medicine – ELSC’s multidisciplinary teams assimilate the disparate components into an overall schematic.
ELSC’s distinctive Theoretical and Computational Model is at core of this concept, guiding innovative and interactive research into mechanisms of human behavior; genetic, molecular and cellular mechanisms, neuronal circuit mechanisms and the brain network as the basis of behavior.
This discipline – a combination of theoretical physics, advanced mathematics and sophisticated computer technology – assists ELSC scientists in their research by creating powerful models of working neural networks.
ELSC focuses on studying computation in neuronal circuits, bolstered by the belief that a high-resolution understanding of local neuronal circuits – from genes to neurons and synapses – combined with a global theory of the brain’s computational principles could lead to a comprehensive understanding of brain mechanisms. These approaches are particularly useful for bridging the different levels and scales of description, from the molecular scale, through single neurons, to local circuits, large-scale neural networks and behavior.
ELSC focuses on synergistic interactive studies, using theoretical, computational approaches intertwined with experimental studies at four levels:
Genetic, Molecular and Cellular Mechanisms
The interdisciplinary methodologies that integrate genomics, proteomics and bioinformatics are a relatively new and powerful approach to unraveling the molecular mechanisms underlying neural structure and function and to determining the genetic coding, development, function and plasticity of the nervous system. In view of the worldwide initiatives, vast investments and major developments in these fields, it is evident that the future of neuroscience will incorporate and expand these revolutionary methodologies in brain studies.
Mechanisms of Human Behavior
Characterized by an interest in forming a unified neuronal and computational conceptualization of high-level cognitive processes – perception, working memory, language – cognitive neuroscience is vital to making the link between animal studies and human perception and cognition. Using a broad range of advanced technologies to monitor human brain activity, ELSC teams are developing pioneering methods to characterize cognitive and behavioral phenomena. The close collaboration between researchers of systems neuroscience and researchers of computational approaches enhances their investigations. As interdisciplinary interactions increase, ELSC believes that the golden age of sophisticated use of various imaging technologies is just beginning.
The Brain Network as the Basis of Behavior
Experiments that provide the link between understanding the basic circuits of neural networks and the complex behavior of whole organisms, in general – and the behavioral processes in humans, in particular – are essential to ELSC’s integrative effort. While smaller animals are best suited for the study of local circuits, non-human primate (NHP) models provide a better understanding of the link between the circuit and behavior because the neural systems that control behavior of humans and non-human primates have the same structure and function. NHP studies are an important component in translating new discoveries to clinical applications because they can bridge the gap between human clinical and non-clinical studies and research.
Neuronal Circuit Mechanisms
Impressive technological and methodological advances in genetic, molecular and imaging methods have made studies of local neuronal circuits an exciting area of brain research. Already involved in the use of these technologies, ELSC is dedicated to advancing their development to study the role of local neuronal circuits, assess how neuromodulators and behavior alter local neuronal circuits, and evaluate the role of non-neuronal elements in brain function in health and disease.