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High-probability grants
According to our matching algorithm, Walter J. Freeman is the likely recipient of the following grants.
Years |
Recipients |
Code |
Title / Keywords |
Matching score |
1985 — 1989 |
Freeman, Walter J |
R01Activity Code Description: To support a discrete, specified, circumscribed project to be performed by the named investigator(s) in an area representing his or her specific interest and competencies. |
Correlation of Eeg and Behavior @ University of California Berkeley
This project is devoted to measurement and description of the electroencephalographic (EEG) activity of the limbic system of the vertebrate brain that occurs during goal-directed behavior. The limbic system comprises cortical parts (e.g. olfactory bulb and cortex, septum, hippocampus) and nuclear parts (e.g. amydaloid, striatum) and is responsible for the basic organization and execution of teleological behavior. The cortical parts generate well-defined fields of EEG and evoked potential, and the fields are well known to undergo changes related to behavior. Recent studies supported by this grant have shown that the olfactory EEG has prominent spectral peaks in the theta (3-7Hz) and gamma (35-80Hz) frequency ranges. We postulate that behaviorally relevant information is carried by amplitude and phase modulation of gamma waves, which are gated from bulb to cortex in bursts at theta frequencies. Behavioral testing with olfactory stimuli has shown that amplitudes of gamma activity are invariant with respect to odorous stimuli, but change with conditioning to induce the search for odors. More generally, we postulate that animals maintain and update in the limbic system in internal image of the outside world, and that limbic EEG activity reflects aspects of information contained in the image. We propose to test this hypothesis by controlling animal behavior in simple, reproducible goal-directed tasks, while recording EEG activity simultaneously from up to 64 implanted electrodes, and making precise measurements of the space-time patterns of limbic EEG activity by use of advanced computer technology. Our specific aim is to determine the precise forms in which olfactory information is encoded in the olfactory bulb and cortex, and the manner in which it is transmitted and transformed from the bulb to the cortex. Assays will be made to determine whether similar techniques can be applied to analysis of similar informational transactions between these and other parts of the limbic system. The studies may provide insight into the same or similar mechanisms that operate in the human limbic system during normal behavior.
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1990 — 1999 |
Freeman, Walter J |
R37Activity Code Description: To provide long-term grant support to investigators whose research competence and productivity are distinctly superior and who are highly likely to continue to perform in an outstanding manner. Investigators may not apply for a MERIT award. Program staff and/or members of the cognizant National Advisory Council/Board will identify candidates for the MERIT award during the course of review of competing research grant applications prepared and submitted in accordance with regular PHS requirements. |
Correlation of Eeg Behavior @ University of California Berkeley
DESCRIPTION (ADAPTED FROM THE APPLICANT'S ABSTRACT): The proposal indicates that the EEG may be the most direct, inexpensive and noninvasive physiological means by which to access the nonlinear neurodynamics of the human brain. Yet, for many years, it has been both neglected and under-utilized. The reason is that EEG waveforms are baffling in their complexity and uncontrolled variability. To most observers, they look like "noise" of the kind made by mechanical calculators or "the roar of crowds at football games". They are widely considered devoid of behaviorally significant information, and therefore unworthy of serious scientific study and analysis. Recent advances in the experimental technologies involving multichannel recording of brain activity in behaving animals have shown that behavioral information does exist in EEGs, not (as already well known) in their waveforms in time, but in the spatial patterns observed with arrays of electrodes. Recent advances in nonlinear dynamics and in the mathematical descriptions of chaos have provided a body of theory with which to predict the salient characteristics of these spatial patterns, the ways they are generated by networks of interacting neurons in the cerebral cortex, and the ways in which they are established and removed by processes of associative learning and habituation. The proposed program would test quantitative predictions from the theory about the space-time patterns of chaotic neurodynamic activities which would be extracted and measured in the EEGs recorded from the paleocortex and neocortex of rabbits. The expected outcome is anticipated to be a theory of the nonlinear neurodynamics of somesthetic, auditory, and visual neocortex in the rabbit, that might be extended subsequently to understanding human neocortical function and its sensory, motor, and cognitive malfunctions.
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