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Multi-regional Interactions support memory formation: modulation of the Rhinal cortices by the Amygdala and the mPFC

Lecture
Date:
Monday, January 8, 2007
Hour: 12:00
Location:
Nella and Leon Benoziyo Building for Brain Research
Prof. Rony Paz,Prof. Rony Paz
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Center for Molecular & Behavioral Neuroscience, Rutgert University, New-Jersey

When is it worth working: Behavioral, physiological, genetic, and modeling experiments investigating motivation and reward expectancy

Lecture
Date:
Sunday, January 7, 2007
Hour: 10:00 - 11:00
Location:
Nella and Leon Benoziyo Building for Brain Research
Dr. Barry J. Richmond
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Chief, Section on Neural Coding and Computation Laboratory of Neuropsychology, National Institute of Mental Health, NIH, DHHS, USA

The intensity or vigor of goal-directed behavior is a correlate of the motivation underlying it. Motivation is related to the subjective value of rewards and is moderated, or even completely dissipated, if the perceived effort or discomfort seems too great. Under what circumstances do we seek a goal or a reward? To study motivated behavior in monkeys, we use several variants of a task in which monkeys must perform some work, in this case detecting when a target spot turns from red-to-green, to obtain a drop of juice. We use another visual stimulus, a cue, to indicate how much discomfort must be endured, e.g., the number of trials to be worked, to obtain the reward. The monkeys learn about the cues quickly, often after just a few trials. The number of errors becomes proportional to amount of work remaining before reward, achieving our goal of manipulating motivation. This is a behavior in which the monkeys decrease their performance in response to an increased predicted workload. Temporal difference models have provided an important framework for interpreting goal directed-behavior, and in economics, game theory has been used to model choice behavior. A key concept in these models is to determine how the value of the reward is modulated by some parameter of the experiment, such as changing the reward size, or the amount of time needed to obtain the reward. In learning or adaptation the TD algorithm predicts that behavior should be (and in artificial systems is) adapted to maximize long-term reward. By examining the influence of reward size, waiting time, and amount of work, we can examine in what ways different model succeed and fail. Our data show that performances depend on work completed since preceding reward (sunk cost effect), and accumulated reward (over whole sessions) and work. In addition this behavior can be used to learn about categorization and rule learning. Using single neuronal recording, regional ablation, and molecular ablation of the D2 receptor we show that dopamine-rich brain regions have signals related to the balance between reward and work.

Stress and the Brain – a Molecular View

Lecture
Date:
Tuesday, January 2, 2007
Hour: 12:00 - 13:15
Location:
Nella and Leon Benoziyo Building for Brain Research
Dr. Daniela Kaufer
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Department of Integrative Biology Helen Wills Neuroscience Institute, University of California Berkeley, CA

My lab studies the molecular basis of neural and hormonal mechanisms of stress responses. Using interdisciplinary multilevel approach we look at the plasticity of the brain in dealing with physiological and pathological events. In this talk I will describe three current projects: Hormonal Regulation of Neural Stem Cells. Determining the environmental and internal cues that control the proliferation and fate choices of stem cells in the adult hippocampus, and their role in functional plasticity. RNA Regulatory Mechanisms in Neural Stress Responses. RNA regulation, specifically, alternative splicing and microRNA expression as a fine tuning neural stress mechanism. The Molecular Mechanisms of post-trauma Epileptogenesis. Determine the mechanism underlying epileptogenesis following blood brain barrier damage.

Synaptic maintenance - Insights from live imaging experiments

Lecture
Date:
Monday, January 1, 2007
Hour: 12:00
Location:
Nella and Leon Benoziyo Building for Brain Research
Dr. Noam Ziv
|
Dept of Physiology, Faculty of Medicine, Technion

Recent studies suggest that central nervous system (CNS) synapses persist for many weeks, months and even lifetimes, yet little is known on the mechanisms that allow these structures to persist for so long despite the many deconstructive processes acting at biological systems and neurons in particular. As a step toward a better understanding of synaptic maintenance we set out to examine some of the deconstructive and reconstructive forces acting at individual CNS synapses. To that end we studied the molecular dynamics of several presynaptic and postsynaptic cytomatrix molecules. Fluorescence recovery after photobleaching (FRAP) and photoactivation experiments revealed that these molecules are continuously incorporated into and lost from individual synaptic structures within tens of minutes. Moreover, these dynamics can be accelerated by synaptic activity. Finally, we find that synaptic molecules are continuously exchanged between nearby synaptic structures at similar rates and that these rates greatly exceed the rates at which synapses are replenished with molecules arriving from somatic sources. Our findings indicate that the dynamics of key synaptic matrix molecules may be dominated by local protein exchange and redistribution, whereas protein synthesis and degradation serve to maintain and regulate the sizes of local, shared pools of these proteins. The nature of these dynamics raises intriguing questions as to how synapses manage to maintain their individual, use-dependent structural and functional characteristics over long durations.

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