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Imposing structure on odor representations during learning in the prefrontal cortexWang, Yiliu January 2019 (has links)
Animals have evolved sensory systems that afford innate and adaptive responses to stimuli in the environment. Innate behaviors are likely to be mediated by hardwired circuits that respond to invariant predictive cues over long periods of evolutionary time. However, most stimuli do not have innate value. Over the lifetime of an animal, learning provides a mechanism for animals to update the predictive value of cues through experience. Sensory systems must therefore generate neuronal representations that are able to acquire value through learning. A fundamental challenge in neuroscience is to understand how and where value is imposed in brain during learning.
The olfactory system is an attractive sensory modality to study learning because the anatomical organization is concise in that there are relatively few synapses separating the sense organ from brain areas implicated in learning. Thus, the circuits for learned olfactory behaviors appear to be relatively shallow and therefore more experimentally accessible than other sensory systems. The goal of this thesis is to characterize the representation and function of neural circuits involved in olfactory associative learning. Odor perception is initiated by the binding of odors onto olfactory receptors expressed in the sensory epithelium. Each olfactory receptor neuron (ORN) expresses one of 1500 different receptor genes, the expression of which pushes the ORN to project with spatial specificity onto a defined loci within the olfactory bulb, the olfactory glomeruli. Therefore, each and every odor evokes a stereotyped map of glomerular activity in the bulb.
The projection neurons of the olfactory bulb, mitral and tufted (M/T) cells, send axons to higher brain areas, including a significant input to the primary olfactory cortex, the piriform cortex. Axons from M/T cells project diffusely to the piriform without apparent spatial preference; as a consequence, the spatial order of the bulb is discarded in the piriform. In agreement with anatomical data, electrophysiological and optical imaging studies also demonstrate that individual odorants activate sparse subsets of neurons across the piriform without any spatial order. Moreover, individual piriform neurons exhibit discontinuous receptive fields that defy chemical or perceptual categorization. These observations suggests that piriform neurons receive random subsets of glomerular input. Therefore, odor representations in piriform are unlikely to be hardwired to drive specific behaviors. Rather, this model suggests that value must be imposed upon the piriform through learning. Indeed, the piriform has been shown to be both sufficient and necessary for aversive olfactory learning without affecting innate odor responses. However, how value is imposed on odor representations in the piriform and downstream associational areas remain largely unknown.
We first developed a strategy to track neural activity in a population of neurons across multiple days in deep brain areas using 2-photon endoscopic imaging. This allowed us to assay changes in neural responses to odors during learning in piriform and in downstream associative areas. Using this technique, we first observe that piriform odor responses are unaffected by learning, so learning must therefore impose discernable changes in neural activity downstream of piriform. Piriform projects to multiple downstream areas that are implicated in appetitive associative learning, such as the orbitofrontal cortex (OFC). Imaging of neural activity in the OFC reveal that OFC neurons acquire strong responses to conditioned odors (CS+) during learning. Moreover, multiple and distinct CS+ odors activatethe same population of OFC neurons, and these responses are gated by context and internal state. Together, our imaging data shows that an external and sensory representation in the piriform is transformed into an internal and cognitive representation of value in the OFC. Moreover, we found that optogenetic silencing of the OFC impaired the ability of mice to acquire learned associations. Therefore, the robust representation of expected value of the odor cues is necessary for the formation of appetitive associations.
We made an important observation: once the task has been learned with a set of odors, the OFC representation decays after learning has plateaued and remains silent even when mice encounter novel odors they haven’t previously experienced. Moreover, silencing the OFC when it was not actively engaged during the subsequent learning of new odors had no effect on learning. These sets of imaging and silencing experiments reveal that the OFC is only important during initial learning; once task structure has been acquired, it is no longer needed. Task performance after initial task acquisition must therefore be accommodated by other brain regions that can store the learned association for long durations.
We therefore searched for other brain regions that held learned associations long-term. In the medial prefrontal cortex (mPFC), we observe that the learned representation persists throughout the entire course of training. Unlike the OFC, not only does this representation encode the positive expected value of CS+ odors, it also encodes the negative expected value of CS- odors in a non-overlapping ensemble of neurons. We further show through optogenetic silencing that this representation is necessary for task performance after the task structure has already been acquired. Therefore, while the OFC representation is required for initial task acquisition, the mPFC representation is required for subsequent appetitive learning and performance. Why would a learned representation vanish in the OFC and betransfered elsewhere? We hypothesize that the brain may allocate a portion of its real estate to be a cognitive playground where experimentation and hypothesis testing takes place. Once this area solves a task, it may unload what it has learned to storage units located elsewhere to free up space to learn new tasks.
We further imaged another associative area, the basolateral amygdala (BLA), and found a representation of positive value that appears to be generated from a Hebbian learning mechanism. However, the silencing of this representation during learning had no effect. This suggests that while multiple and distributed brain areas encode cues that predict the reward, not all may be necessary for the learning process or for task performance.
In summary, we have described a series of experiments that map the representation and function of different associational areas that underlie learning. The data and the techniques employed have the potential to significantly advance the understanding of learned behavior.
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Are there any differences between private and non-private back operation patientsDai, Deliang January 2010 (has links)
<p>It has been claimed that there are considerable differences between pri-vate and non-private patients with regard to the outcome of back surgery.This can be found in the yearly report from the register concerning backsurgery in Sweden. However, the results seem doubtful and the referencescould not be found. Therefore, we analyze the data about nearly 1200patients from the clinic of back surgery in Str¨angn¨as (CSS). It includesthree time periods with somewhat different questionnaires from 1986 to2007 with both private and non-private patients. In the third period,the patients have been evaluated using the SF-36 questionnaire. The re-sults show that most of the differences between private and non-privatepatients are minor and not statistically significant.</p>
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Are there any differences between private and non-private back operation patientsDai, Deliang January 2010 (has links)
It has been claimed that there are considerable differences between pri-vate and non-private patients with regard to the outcome of back surgery.This can be found in the yearly report from the register concerning backsurgery in Sweden. However, the results seem doubtful and the referencescould not be found. Therefore, we analyze the data about nearly 1200patients from the clinic of back surgery in Str¨angn¨as (CSS). It includesthree time periods with somewhat different questionnaires from 1986 to2007 with both private and non-private patients. In the third period,the patients have been evaluated using the SF-36 questionnaire. The re-sults show that most of the differences between private and non-privatepatients are minor and not statistically significant.
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Problems related to the Zermelo and Extended Zermelo Model /Webb, Ben, January 2004 (has links) (PDF)
Thesis (M.S.)--Brigham Young University. Dept. of Mathematics, 2004. / Includes bibliographical references (p. 65).
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Involvement of dopamine in the nucleus accumbens and prefrontal cortex in cocaine-associative learningIkegami, Aiko 28 August 2008 (has links)
Not available / text
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Secure paired domination in graphsKang, Jian 31 August 2010 (has links)
This thesis introduces a new strategy of defending the vertices of a graph - secure
paired domination, where guards are required to be paired and, when a vertex is
attacked, one or two guards move to defend the attacked vertex, while keeping the
graph dominated and the guards paired after the move. We propose nine possible
definitions of secure paired domination, compare and contrast each with the others,
and obtain properties and inequalities of the secure paired domination (SPD) numbers associated with the definitions. Based on each of the nine definitions, the SPD numbers of five types of special graphs, namely paths, cycles, spiders, ladders and grid graphs, are studied.
We then compare the SPD number of an arbitrary isolate-free graph to various
other parameters such as clique partition number, independence number, vertex-
covering number, secure domination number and paired domination number. We
establish that, for any graph without isolated vertices, its SPD number does not
exceed twice the value of any of its other parameters mentioned above. Also, we give classes of trees for which some of the bounds are achieved. As conclusion, some open problems and directions for further studies regarding secure paired domination are listed.
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Effects of training in repetition and mediation on paired-associate learning and practical memory in the agedDeLeon, Jean Louise Murphy January 1974 (has links)
Typescript. / Thesis (Ph. D.)--University of Hawaii at Manoa, 1974. / Bibliography: leaves 74-79. / viii, 79 leaves ill
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Response rate or number of repetitions which aspect of drill and practice testing most contributes to paired-associate learning /Davis, Scott January 2008 (has links)
Thesis (Ed. D.)--West Virginia University, 2008. / Title from document title page. Document formatted into pages; contains viii, 201 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 34-39).
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Comparing a discriminative stimulus procedure to a pairing procedure conditioning neutral social stimuli to function as conditioned reinforcers /Koelker, Rachel Lee. Ellis, Janet, January 2009 (has links)
Thesis (M.S.)--University of North Texas, Dec., 2009. / Title from title page display. Includes bibliographical references.
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Effects of verbal pretraining, idea checklists, and cognitive styles upon creativity,Roweton, William E. January 1969 (has links)
Thesis (Ph. D.)--University of Wisconsin--Madison, 1969. / Vita. Typescript. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references.
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