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Center for Computational Biology
1 Lewis Hall
Montana State University
Bozeman, MT  59717

phone:  406-994-7330
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> Center for Computational Biology

Research

The ultimate goals of the coordinated research programs being carried out within the CCB are to understand the neural basis of perception and cognition. The specific goals of current research are to develop a novel unified theoretical and experimental approach to decipher the natural language used by nerve cells to represent information about the outside sensory world, and to apply that approach toward the analysis of sensory processing and cognition in several test systems.

A common focus across all research programs in the CCB is the study of the manner in which information about the outside sensory world is represented in nervous systems.

Within the last few years, biomedical researchers around the world have mapped the human genome. We now have a blueprint of the genetic information with which human beings are constructed. This knowledge is expected to bring about a revolution in health care, and will have a variety of larger societal implications. This revolution was enabled by our understanding of the genetic code with which information is represented in chromosomes. Unfortunately, neuroscience researchers do not have an equivalent understanding of the neural code, i.e., the language with which information is represented by the activity of nerve cells in our own brains. Although the relationships between sensory stimuli and the responses of nerve cells are understood at a rudimentary level, we are still far from having a detailed understanding of the neural code. That is, a neuroscientist cannot decipher a nerve cell's activity pattern with a level of confidence equivalent to that with which a molecular biologist can decipher a DNA sequence.

As a consequence, neuroscientists are at a critical juncture in their research. The development of unified theories for nervous system function will require a more rigorous theoretical framework for deciphering and interpreting activity patterns in nervous systems. This will, in turn, require the development of technologies for monitoring and modifying the activity of large ensembles of neurons at multiple sites within nervous systems, so that those theories can be tested, refined, and applied to the development of effective new strategies for the diagnosis and treatment of perceptual and cognitive disorders.

Although commercially-available data recording systems allow the collection and storage of massive streams of neural activity patterns at high rates, no systems provide the capability for deciphering the 'meaning' imbedded within the neural signals on a time scale that enables interactive or prosthetic control. One major goal of our research is to develop the means to record and decipher encoded information rapidly enough that neural activity can be manipulated in real time. In essence, we are developing hardware, software and information-theoretic algorithms capable of 'reading and writing the neural code' in real time, in a manner that allows controlled manipulation of neurobiological data streams.

Over the last 10 years, the researchers that are now associated with the CCB have independently developed several new theoretical and experimental tools that, when integrated together, will enable a major advancement toward the goals stated above. The first new tool is, essentially, a novel analytical framework for deciphering the variety of neural coding schemes used in different nervous systems. The second tool is an advanced set of hardware devices enabling multi-unit recording from extremely large ensembles of nerve cells. The third tool is a neuroinformatics software system enabling the management and analysis of the massive data sets generated by the experimental and analytical tools.

The specific objectives of current research are a) to continue the development and refinement of these tools, b) to integrate them as an effective, comprehensive and practical research tool, and c) to characterize three test preparations using this new integrated framework. Ongoing experiments involve recording the activity patterns from large groups of nerve cells during the presentation of complex sensory stimuli to three biological test preparations: the visual systems of macaque monkeys and cats, and the cercal sensory system of the cricket. The cricket has proven to be a very valuable preparation, in much the same way that a great deal of studies in genetics and molecular biology are carried out on fruit flies.

One major research thrust in the CCB is focused on elucidating the neuronal interactions among cortical areas that underlie and contribute to visual perception and cognition. To this end, Dr. Gray and his colleagues conduct experiments in macaque monkeys in which neuronal activity is monitored at multiple cortical locations while the animals perform specific perceptual and cognitive tasks. The goals are to identify the neural correlates of inter-area interactions that underlie these behaviors, and ultimately to understand the neuronal mechanisms that mediate those interactions. This enterprise involves the close cooperation of neuroscientists, engineers, computer scientists and computational theorists. The long-term goal is to develop an integrative theory of perceptual and cognitive function in humans, the outcome of which may lead to advances in the diagnosis and treatment of psychiatric disorders.

View Text-only Version Text-only Updated: 1/15/2008
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