Xie, Hui. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2008. / Includes bibliographical references (leaves 91-116). / Abstracts in English and Chinese. / CONTENTS --- p.I / ACKNOWLEDGEMENTS --- p.i / ABSTRACT --- p.ii / 中文摘要 --- p.v / Chapter CHAPTER 1 --- INTRODUCTION --- p.1 / Chapter 1.1 --- Overview of the Study --- p.1 / Chapter 1.2 --- Obstructive Sleep Apnea --- p.4 / Chapter 1.2.1 --- Epidemiology --- p.5 / Chapter 1.2.1.1 --- Prevalence --- p.5 / Chapter 1.2.1.2 --- Risk Factors --- p.6 / Chapter 1.2.2 --- Pathogenesis --- p.8 / Chapter 1.2.3 --- Pathophysiologic Consequences --- p.9 / Chapter 1.2.4 --- Diagnosis --- p.12 / Chapter 1.2.5 --- Treatment --- p.13 / Chapter 1.3 --- Memory and Long-term Potentiation --- p.15 / Chapter 1.3.1 --- Memory --- p.15 / Chapter 1.3.1.1 --- Classification of Memory --- p.15 / Chapter 1.3.1.1 --- Physiology of Memory --- p.17 / Chapter 1.3.2 --- Hippocampus --- p.18 / Chapter 1.3.2.1 --- Anatomy --- p.18 / Chapter 1.3.2.2 --- Hippocampus and Memory --- p.20 / Chapter 1.3.3 --- Long-term Potentiation (LTP) --- p.20 / Chapter 1.3.3.1 --- Discovery of LTP --- p.21 / Chapter 1.3.3.2 --- Types of LTP --- p.22 / Chapter 1.3.3.3 --- Properties of NMDA-LTP --- p.23 / Chapter 1.3.3.4 --- Early Phase LTP and Mechanism --- p.24 / Chapter 1.3.3.5 --- Late Phase LTP and Mechanism --- p.28 / Chapter 1.3.3.6 --- Important Factors in Long-term Potentiation --- p.29 / Chapter 1.4 --- Brain-derived Neurotrophic Factor (BDNF) --- p.33 / Chapter 1.4.1 --- Neurotrophins --- p.33 / Chapter 1.4.2 --- Structure and Expression of BDNF --- p.36 / Chapter 1.4.3 --- BDNF and Synaptic Plasticity --- p.37 / Chapter 1.4.3.1 --- BDNF and E-LTP --- p.38 / Chapter 1.4.3.2 --- BDNF and L-LTP --- p.39 / Chapter CHAPTER 2 --- METHODS --- p.43 / Chapter 2.1 --- Animal model of Obstructive Sleep Apnea --- p.43 / Chapter 2.1.1 --- Chronic Intermittent Hypoxia --- p.43 / Chapter 2.1.2 --- Bodyweight During Hypoxia Treatment --- p.47 / Chapter 2.2 --- Electrophysiological Experiments --- p.47 / Chapter 2.2.1 --- Brain Slice Preparation --- p.47 / Chapter 2.2.2 --- Multi-electrode Recording Setup (MED64) --- p.48 / Chapter 2.2.3 --- Slice Superfusion --- p.51 / Chapter 2.3.4 --- Field Potential Recordings --- p.53 / Chapter 2.3.5 --- LTP Induction Protocol --- p.55 / Chapter 2.3 --- Stereotaxic Surgery --- p.57 / Chapter 2.4 --- Drugs and Data Analysis --- p.58 / Chapter CHAPTER 3 --- RESULTS --- p.59 / Chapter 3.1 --- Validation of the OSA model --- p.59 / Chapter 3.2 --- Optimization for Studies of Early and Late-phase LTP by MED64 --- p.60 / Chapter 3.2.1 --- Optimization of Brain Slices --- p.60 / Chapter 3.2.2 --- Optimization of Field Potential Recording --- p.62 / Chapter 3.2.3 --- Optimization for LTP Study --- p.65 / Chapter 3.3 --- Effect of Intermittent Hypoxia on Hippocampal LTP --- p.68 / Chapter 3.3.1 --- Early-phase LTP (E-LTP) --- p.68 / Chapter 3.3.2 --- Late-phase LTP (L-LTP) --- p.71 / Chapter 3.4 --- Effect of BDNF on Intermittent Hypoxia-induced LTP Impairment --- p.75 / Chapter 3.4.1 --- BDNF Rescues LTP Impairment --- p.75 / Chapter 3.4.2 --- BDNF prevents LTP Impairment --- p.78 / Chapter CHAPTER 4 --- DISCUSSION --- p.80 / Chapter 4.1 --- Chronic Intermittent Hypoxia Model of OSA in Mice --- p.80 / Chapter 4.2 --- Impairment of LTP Induced by Intermittent Hypoxia --- p.82 / Chapter 4.3 --- The role of BDNF in IH-induced Impairment in Hippocampal Synaptic Plasticity --- p.84 / Chapter 4.4 --- Future Studies --- p.89 / REFERENCE --- p.91

Leung, Yeung Yeung. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2010. / Includes bibliographical references (leaves 134-154). / Abstracts in English and Chinese. / CONTENTS --- p.i / ACKNOWLEDGEMENTS --- p.iv / ABSTRACT --- p.v / 論文摘要 --- p.viii / LIST OF FIGURES --- p.x / LIST OF TABLES --- p.xiv / LIST OF ABBREVIATIONS --- p.xv / Chapter 1. --- INTRODUCTION --- p.1 / Chapter 1.1 --- Brain iron function and diseases --- p.1 / Chapter 1.1.1 --- Function of iron in the brain --- p.1 / Chapter 1.1.2 --- Iron involved oxidative damage --- p.2 / Chapter 1.1.3 --- Role of iron in neurodegenerative diseases --- p.6 / Chapter 1.1.4 --- Role of iron in Alzheimer's disease --- p.7 / Chapter 1.1.5 --- Deleterious effects of iron in memory function --- p.9 / Chapter 1.2 --- Iron regulation in the brain --- p.10 / Chapter 1.2.1 --- Transport and storage of brain iron --- p.10 / Chapter 1.2.2 --- Iron homeostasis in the brain --- p.14 / Chapter 1.2.3 --- Transport of iron in axon and synapse --- p.17 / Chapter 1.3 --- The hippocampus --- p.19 / Chapter 1.3.1 --- Hippocampus and memory function --- p.19 / Chapter 1.3.2 --- Structure of the hippocampus --- p.20 / Chapter 1.3.3 --- Cell composition in the hippocampus --- p.26 / Chapter 1.3.4 --- Wiring in the hippocampus --- p.28 / Chapter 1.4 --- Synaptic plasticity and long term potentiation --- p.30 / Chapter 1.4.1 --- Basic theory of synaptic plasticity --- p.30 / Chapter 1.4.2 --- Types of synaptic plasticity --- p.30 / Chapter 1.4.3 --- The discovery of long term potentiation --- p.31 / Chapter 1.4.4 --- Long term potentiation --- p.32 / Chapter 1.4.5 --- Cellular mechanism of long term potentiation --- p.33 / Chapter 1.4.6 --- Role of reactive oxygen species in long term potentiation --- p.36 / Chapter 1.5 --- Aim of the study --- p.38 / Chapter 2. --- MATERIALS AND METHODS --- p.39 / Chapter 2.1 --- Rat model of iron overload --- p.39 / Chapter 2.2 --- Multi-electrode field potential measurement --- p.40 / Chapter 2.2.1 --- Acute preparation of hippocampal slices --- p.40 / Chapter 2.2.2 --- Multi-electrode array recording system --- p.41 / Chapter 2.2.3 --- Recording of field excitatory postsynaptic potentials --- p.42 / Chapter 2.2.4 --- Induction of LTP --- p.47 / Chapter 2.2.5 --- Recording of paired-pulse ratio --- p.48 / Chapter 2.3 --- Whole cell patch-clamp recordings --- p.50 / Chapter 2.4 --- Biochemical assays --- p.57 / Chapter 2.4.1 --- Preparation of brain homogenate --- p.57 / Chapter 2.4.2 --- Total iron measurement --- p.57 / Chapter 2.4.3 --- Protein carbonyl measurement --- p.58 / Chapter 2.4.4 --- Determination of reactive oxygen species --- p.60 / Chapter 2.5 --- Drugs and data analysis --- p.61 / Chapter 3. --- RESULTS --- p.62 / Chapter 3.1 --- The acute effects of extracellular iron on synaptic transmission and long-term synaptic plasticity in the hippocampus in vitro --- p.63 / Chapter 3.1.1 --- Effects of ferric ion on basal synaptic transmission --- p.63 / Chapter 3.1.1.1 --- Effect of FAC on basal fEPSPs --- p.63 / Chapter 3.1.1.2 --- Comparison with the effect of AC on basal fEPSPs --- p.69 / Chapter 3.1.2 --- Effects of ferric ion on long-term synaptic plasticity --- p.72 / Chapter 3.1.2.1 --- Effect of acute FAC treatment on LTP --- p.72 / Chapter 3.1.2.2 --- Comparison with the effect of AC on LTP --- p.75 / Chapter 3.1.3 --- Effects of ferric chloride --- p.78 / Chapter 3.1.4 --- Effects of ascorbic acid on the action of FAC --- p.81 / Chapter 3.2 --- "The acute, in vitro effect of extracellular iron on the membrane properties and excitability of hippocampal CA1 neurons" --- p.86 / Chapter 3.2.1 --- Membrane input resistance --- p.86 / Chapter 3.2.2 --- Voltage-Current relationship --- p.88 / Chapter 3.2.3 --- Membrane excitability --- p.90 / Chapter 3.2.3.1 --- Threshold current --- p.90 / Chapter 3.2.3.2 --- Action potential firing frequency --- p.92 / Chapter 3.2.4 --- Action potential characteristics --- p.95 / Chapter 3.2.4.1 --- "Action potential amplitude, area and width" --- p.95 / Chapter 3.2.4.2 --- Rise and decay kinetics of action potential --- p.98 / Chapter 3.3 --- The chronic effects of iron-loading in the brain on hippocampal long-term synaptic plasticity --- p.100 / Chapter 3.3.1 --- Validation of the iron-overload model --- p.100 / Chapter 3.3.1.1 --- Short-term (1 week) treatment --- p.100 / Chapter 3.3.1.2 --- Long-term (4 weeks) treatment --- p.103 / Chapter 3.3.2 --- Effects of chornic iron-overloading on LTP --- p.105 / Chapter 3.3.2.1 --- Short term iron treatment --- p.105 / Chapter 3.3.2.2 --- Long term iron treatment --- p.108 / Chapter 3.3.3 --- Oxidative stress measurement --- p.111 / Chapter 3.3.3.1 --- Protein oxidation --- p.111 / Chapter 3.3.3.2 --- Reactive oxidative species level --- p.116 / Chapter 4. --- DISCUSSION --- p.120 / Chapter 4.1 --- "Acute, in vitro effects" --- p.121 / Chapter 4.2 --- "Chronic, in vivo effects" --- p.125 / Chapter 5. --- REFERENCES --- p.134

Tesi realitzada a l'Equip de Neurociència de Sistemes - IDIBAPS / The generation of cognitive maps is influenced by different senses such as vision, audition or smell. However, the tactile information system -a highly developed system in the rat- and its influence on spatial processing, has hardly been studied. The availability of precise tactile information in the hippocampus (Pereira et al., 2007) is highly suggestive of a possible influence of tactile information on spatial processing. In this study we aimed to test if somatosensory information contributes to the cognitive map creation and spatial representation. The deprivation of the tactile sense without the possibility of using other senses (total darkness, homogeneous odour and uniform white noise), should then affect the coding of spatial information and could be detected as an alteration in place cell properties such as firing rate, location and/or extension of the firing fields. These types of changes would demonstrate that somatosensory inputs are involved in the cognitive map creation. To carry out this study we developed three kinds of experiments. First, we developed a paradigm (Gener et al., 2009) to temporarily deprive the tactile input using locally applied local anaesthesia (lidocaine). In a second part, we demonstrate that this deprivation was effective in the awake animal, altering the behaviour during tactile discrimination protocols and reducing successful trials from 88% to chance (48%). Finally, we applied the deprivation technique to characterise the cognitive map creation. With that purpose, we first demonstrated that place cells recorded in a controlled environment were sensitive to tactile cues, such that the rotation of the cues induce the rotation of the firing fields. Next, when tactile information was deprived, the place cells’ fields showed changes in their compactness and size. The results of this study suggest that somatosensory input information transduced by the whiskers contributes to the cognitive map creation. Those findings respond to some of the questions about hippocampus integration’s of sensory information.

Tesi realitzada a l'Equip de Neurociència de Sistemes - IDIBAPS / Since the discovery of the place cells in 1971 by John O’Keefe and colleagues an extensive work over the hippocampus has been developed as the mammal model of spatial navigation. Place cells are rodents’ hippocampal neurons whose firing is associated to certain locations of the environment. A majority of studies have focused on how the place fields (the area where the firing of a neuron is restricted) are generated in relation to the static cues of the environment (O'Keefe and Conway, 1978; Muller et al., 1987; Gothard et al., 1996). The present work assessed a similar question but regarding the dynamic cues surrounding the subject, and with the hypothesis that the hippocampus is also representing the position of other moving objects. In order to demonstrate if that was the case, we developed a behavioural protocol in which rats learnt to discriminate the movements of a robot in order to obtain reward, an Operant Position Discrimination Task (OPDT). Once the protocol was validated, the subjects were chronically implanted with tetrodes in the CA1 region of the hippocampus. In this way the activity of single hippocampal cells could be isolated off-line and the LFP of the area stored during the recordings. Using this method, the relationship between the firing of the cells and the field activity with the spatial parameters of the robot could be evaluated. The results showed a modulation by the dynamic cue of the theta oscillation. While the locomotor activity of the subjects is directly related to the power of theta in natural conditions (Vanderwolf, 1969), during the movement of the robot such relationship was disrupted and the band power between 4-12 Hz showed a trough at this time. The analysis of the single cells’ activity showed neurons locked to several spatial features of the dynamic cue. First, the position of the rat and the robot where analysed by information content parameters. Skaggs Index and Positional information (Markus et al., 1994; Olypher et al., 2003) showed neurons locked to the position of the subject as expected in CA1 and also other neurons locked to the positions of the robot. Second, moving from the spatial analysis to the temporal one, we found responses to the movement of the robot like OFF/ON variations of the basal activity of the neurons. Such changes in the firing patterns where quantified by the Mutual Information index (Nelken and Chechik, 2007) demonstrating that a large fraction of the neurons have a significant differential pattern of activity during the movement of the robot towards one side or the other. The use of the same index, MI, for the evaluation of the static or dynamic condition of the robot, also resulted in a set of neurons spiking with significant disparity during such epochs. In conclusion, the present work has demonstrated the existence of neural correlates locked to a dynamic cue in the hippocampus. Both the field activity at the theta range, LFP between 4 and 12 Hz, and the activity of the hippocampal neurons were found to reflect and/or encode the spatial features of a dynamic cue. The present work has in this way enlarged the limited evidence present in the prior literature about the role of the hippocampus in the tracking and localization of dynamic cues with the use of a behavioural protocol where both the spatial and temporal dynamics could be assessed. / La correcta localización y seguimiento de las pistas dinámicas que se encuentran en el ambiente es una tarea crucial para el individuo. Comportamientos fundamentales como la caza, el apareamiento o el escape necesitan una correcta identificación de la posición de presas, congéneres y depredadores para su correcta realización. El sistema cerebral encargado de localizar al propio sujeto en el ambiente se sabe que se encuentra en la formación hipocampal después de que diversos estudios hayan demostrado la necesidad del mismo para una correcta orientación (Morris et al., 1982) y, aún más importante, tras el descubrimiento en roedores de neuronas que disparan únicamente en espacios restringidos del entorno, las células de lugar (O'Keefe and Dostrovsky, 1971). Si bien se conoce que estos procesos están fundados en una correcta representación de la posición de las pistas estáticas del ambiente (O'Keefe and Conway, 1978; Muller et al., 1987; Gothard et al., 1996), que sirven de referencia para la propia localización, poco se sabe acerca de cómo se integra la información relativa a los objetos y/o sujetos móviles que se encuentran en el mismo ambiente. Este trabajo tiene como objetivo principal intentar responder a esta pregunta, es decir, ¿en qué modo el hipocampo procesa la información relativa a las pistas dinámicas? Para el desarrollo del estudio, primero, se diseñó una tarea comportamental que asegurara el hecho de que la pista dinámica resultase relevante para los sujetos de forma que los mismos prestaran atención a sus movimientos. Con este fin elegimos utilizar un robot cuyos desplazamientos pueden ser finamente controlados y asociar una recompensa a determinados patrones de navegación del robot. Después de probar con diferentes tareas de discriminación se llegó a una configuración (Operant Position Discrimination Task, OPDT) que permitía a los animales seguir los movimientos del robot desde un espacio separado en el cual recibían la recompensa en caso de discernir correctamente los desplazamientos de la pista. Una vez validada la tarea comportamental, a los sujetos que alcanzaron altas tasas de rendimiento se les implantaron tetrodos en la zona CA1 del hipocampo, lugar en el que se encuentran las células de lugar más estables. Una vez hecho el implante se procedió a registrar la actividad cerebral durante la ejecución de la tarea. Por una parte se aislaron los potenciales de acción pertenecientes a neuronas únicas y el potencial de campo de la zona, LFP. Respecto a la actividad de campo, LFP, se observó una disminución significativa de la potencia en la banda theta, 4-12 Hz, relacionada generalmente con la actividad locomotora del sujeto (Vanderwolf, 1969) durante el movimiento del robot. Durante el resto del registro la relación entre velocidad y potencia de theta se mantuvo y sólo en el periodo de discriminación del movimiento del robot esta relación se vio alterada con un mínimo de potencia observado en diferentes sujetos y registros. La actividad de las neuronas se analizó en función de los parámetros espaciales y dinámicos de la rata y el robot. Mirando la especificidad espacial del disparo de las neuronas a través de los parámetros Skaggs Index y Positional information (Markus et al., 1994; Olypher et al., 2003) se encontraron células significativamente ligadas en su actividad a la posición del sujeto o del robot. La actividad de las neuronas también se analizó de forma temporal, tomando como referencia el inicio de los estímulos, es decir el movimiento del robot hacia un lado u otro. Utilizando como índice la Mutual Information (Nelken and Chechik, 2007) se encontró que una larga proporción de las neuronas tienen respuestas diferenciales durante el movimiento del robot hacia uno de los lados. A su vez, el mismo análisis, pero en esta ocasión comparando los periodos en los que la pista se encuentra inmóvil con los que está en movimiento, determinó que otra fracción de las neuronas tiene patrones de disparo diferenciales según sea la condición dinámica de la pista. El conjunto de los resultados obtenidos indica claramente que el hipocampo se encuentra involucrado activamente en la localización y el seguimiento de las pistas dinámicas, siendo esto reflejado tanto en la actividad de sus neuronas como en la actividad de campo global. Los parámetros espaciales de la pista que resultaron modulados durante la tarea fueron su posición, la dirección de su movimiento y el hecho en sí de permanecer inmóvil o en desplazamiento.

In this thesis we use computational neural network models to examine the dynamics and functionality of the CA3 region of the mammalian hippocampus. The emphasis of the project is to investigate how the dynamic control structures provided by inhibitory circuitry and cellular modification may effect the CA3 region during the recall of previously stored information. The CA3 region is commonly thought to work as a recurrent auto-associative neural network due to the neurophysiological characteristics found, such as, recurrent collaterals, strong and sparse synapses from external inputs and plasticity between coactive cells. Associative memory models have been developed using various configurations of mathematical artificial neural networks which were first developed over 40 years ago. Within these models we can store information via changes in the strength of connections between simplified model neurons (two-state). These memories can be recalled when a cue (noisy or partial) is instantiated upon the net. The type of information they can store is quite limited due to restrictions caused by the simplicity of the hard-limiting nodes which are commonly associated with a binary activation threshold. We build a much more biologically plausible model with complex spiking cell models and with realistic synaptic properties between cells. This model is based upon some of the many details we now know of the neuronal circuitry of the CA3 region. We implemented the model in computer software using Neuron and Matlab and tested it by running simulations of storage and recall in the network. By building this model we gain new insights into how different types of neurons, and the complex circuits they form, actually work. The mammalian brain consists of complex resistive-capacative electrical circuitry which is formed by the interconnection of large numbers of neurons. A principal cell type is the pyramidal cell within the cortex, which is the main information processor in our neural networks. Pyramidal cells are surrounded by diverse populations of interneurons which have proportionally smaller numbers compared to the pyramidal cells and these form connections with pyramidal cells and other inhibitory cells. By building detailed computational models of recurrent neural circuitry we explore how these microcircuits of interneurons control the flow of information through pyramidal cells and regulate the efficacy of the network. We also explore the effect of cellular modification due to neuronal activity and the effect of incorporating spatially dependent connectivity on the network during recall of previously stored information. In particular we implement a spiking neural network proposed by Sommer and Wennekers (2001). We consider methods for improving associative memory recall using methods inspired by the work by Graham and Willshaw (1995) where they apply mathematical transforms to an artificial neural network to improve the recall quality within the network. The networks tested contain either 100 or 1000 pyramidal cells with 10% connectivity applied and a partial cue instantiated, and with a global pseudo-inhibition.We investigate three methods. Firstly, applying localised disynaptic inhibition which will proportionalise the excitatory post synaptic potentials and provide a fast acting reversal potential which should help to reduce the variability in signal propagation between cells and provide further inhibition to help synchronise the network activity. Secondly, implementing a persistent sodium channel to the cell body which will act to non-linearise the activation threshold where after a given membrane potential the amplitude of the excitatory postsynaptic potential (EPSP) is boosted to push cells which receive slightly more excitation (most likely high units) over the firing threshold. Finally, implementing spatial characteristics of the dendritic tree will allow a greater probability of a modified synapse existing after 10% random connectivity has been applied throughout the network. We apply spatial characteristics by scaling the conductance weights of excitatory synapses which simulate the loss in potential in synapses found in the outer dendritic regions due to increased resistance. To further increase the biological plausibility of the network we remove the pseudo-inhibition and apply realistic basket cell models with differing configurations for a global inhibitory circuit. The networks are configured with; 1 single basket cell providing feedback inhibition, 10% basket cells providing feedback inhibition where 10 pyramidal cells connect to each basket cell and finally, 100% basket cells providing feedback inhibition. These networks are compared and contrasted for efficacy on recall quality and the effect on the network behaviour. We have found promising results from applying biologically plausible recall strategies and network configurations which suggests the role of inhibition and cellular dynamics are pivotal in learning and memory.

This study sought to determine whether the DG, CA3, and CA1 regions contain uniformly excitable populations and test the hypothesis that rapid addition of new, more excitable, granule cells in prepubescence results in a low activation probability (P1) in the DG. The immediate-early gene Homer1a was used as a neural activity marker to quantify activation in juvenile (P28) and adult (~5 mo) rats during track running. The main finding was that P1 in juveniles was substantially lower not only the DG, but also CA3 and CA1. The P1 for a DG granule cell was close to 0 in juveniles, versus 0.58 in adults. The low P1 in juveniles indicates that sparse, but non-overlapping, subpopulations participate in encoding events. Since sparse, orthogonal coding enhances a network’s ability to decorrelate input patterns (Marr, 1971; McNaughton & Morris, 1987), the findings suggest that juveniles likely possess greatly enhanced pattern separation ability. / ix, 51 leaves : ill. ; 29 cm

Development of a three dimensional (3D) HYBROT model with targeted in vivo like intact cellular circuitry in thick brain slices for multi-site stimulation and recording will provide a useful in vitro model to study neuronal dynamics at network level. In order to make this in vitro model feasible, we need to develop several associated technologies. These technologies include development of a thick organotypic brain slice culturing method, a three dimensional (3D) micro-fluidic multielectrode Neural Interface system (µNIS) and the associated electronic interfaces for stimulation and recording of/from tissue, development of targeted stimulation patterns for closed-loop interaction with a robotic body, and a deep-tissue non-invasive imaging system. To make progress towards this goal, I undertook two projects: (i) to develop a method to culture thick organotypic brain slices, and (ii) construct a multiphoton imaging system that allows long-term and deep-tissue imaging of two dimensional and three dimensional cultures. Organotypic brain slices preserve cytoarchitecture of the brain. Therefore, they make more a realistic reduced model for various network level investigations. However, current culturing methods are not successful for culturing thick brain slices due to limited supply of nutrients and oxygen to inner layers of the culture. We developed a forced-convection based perfusion method to culture viable 700µm thick brain slices. Multiphoton microscopy is ideal for imaging living 2D or 3D cultures at submicron resolution. We successfully fabricated a custom-designed high efficiency multiphoton microscope that has the desired flexibility to perform experiments using multiple technologies simultaneously. This microscope was used successfully for 3D and time-lapse imaging. Together these projects have contributed towards the progress of development of a 3D HYBROT. ----- 3D Hybrot: A hybrid system of a brain slice culture embodied with a robotic body.

Title from first page of PDF document. Includes bibliographical references (p. 22-31).

Through an exploration of both sculptural and thought processes undertaken in making my Masters exhibition, ‘Hippocampus’, I unpack some possibilities, instabilities, and limitations inherent in representation and visual perception. This thesis explores the Hippocampus as image (seahorse) and concept (brain-structure involved in cognitive mapping of space). Looking at Gilles Deleuze’s writings on representation, I will expand on the notion of the map as being that which does not define and fix a structure or meaning, but rather is open, extendable and experimental. I explore the becoming, rather than the being, of image and concept. The emphasis here is on process, non-representation, and fluidity of meaning. This is supportive of my personal affirmation of the practice and process of art-making as research. I will refer to the graphic prints of Maurits Cornelis Escher as a means to elucidate a visual contextualization of my practical work, particularly with regard to the play with two- and three-dimensional space perception. Through precisely calculated ‘experiments’ that show up the partiality of our visual perception of space, Escher alludes to things that either cannot actually exist as spatial objects or do exist, but resist representation. Similarly I will explore how my own sculptures, although existing in space resist a fixed representation and suggest ideas of other spaces, non-spaces; an in-between space that does not pin itself down and become fixed to any particular image, idea, objector representation.

Orientadores: Elenice Aparecida de Moraes Ferrari, Luiz Roberto Giorgetti Britto / Dissertação (mestrado) - Universidade Estadual de Campinas, Instituto de Biologia / Made available in DSpace on 2018-08-06T11:20:23Z (GMT). No. of bitstreams: 1 Sperandeo_MariaLuizaAntunes_M.pdf: 1329953 bytes, checksum: 9e4252fe270a020cdc4182cde457725e (MD5) Previous issue date: 2005 / Resumo: O presente estudo investigou os efeitos do antagonista do receptor NMDA, MK-801 na expressão do produto do zenk no hipocampo (Hp) de pombos, submetidos ao condicionamento clássico aversivo. Antes do treino, administrou-se MK-801, i.p, para o grupo condicionado MK (GCMK, n=6), salina para o grupo condicionado salina (GCS, n=6) e nenhum tratamento para os grupos-controle: randômico (GCR, n=6), contexto (GCC=7) e manipulação (GM=4). GCMK e GCS receberam três associações de som (1000-Hz, 83 dB,1 s) e choque (10 mA, 35ms) numa sessão de 20 min. Para GCR os estímulos foram aleatórios e o GCC não recebeu estímulos. O teste de re-exposição ao contexto ocorreu 24 h após o treino. A análise de freezing no treino mostrou maior ocorrência para o GCS em comparação ao GCC (p<0,05), com aumento gradual na sessão (p<0,01). No teste, GCS expressou maior ocorrência de freezing em comparação a todos os grupos (p<0,001). A expressão de zenk foi avaliada por imuno-histoquímica. O GCS teve maior número de núcleos ZENK-positivos no Hp ventral, especificamente no Hp ventro-medial, comparativamente aos outros grupos (p<0,01). A baixa ocorrência de freezing ao contexto no GCMK evidencia o efeito amnésico do MK-801. A análise da marcação de núcleos ZENK-positivos no Hp sugeriu sua ativação regionalizada na evocação de memória contextual aversiva em pombos. O presente estudo indica o envolvimento de receptores de glutamato do tipo NMDA em mecanismos sinápticos de plasticidade neural durante a evocação de memória aversiva ao contexto. Palavras-chave: condicionamento clássico aversivo, hipocampo, MK-801, antagonista dos receptores NMDA, recuperação da memória aversiva, zenk / Abstract: The present study investigated the effects of the antagonist of the glutamate NMDA receptor, MK- 801, in the activation of zenk in the hippocampus of pigeons (Hp) submitted to the classical aversive conditioning. Two groups of pigeons received MK-801 (MKG, n=6) or saline (SG, n=6) 30 min before training with tone-shock associations. The control groups received unpaired stimulation (RCG, n=6), exposure to the context (CCG=7) or manipulation alone (MG=4). During the 20 min training session MKG and SG received three sound (1000-Hz, 83 dB, 1 s) and shock associations (10 mA, 35ms). The test to the context occurred 24 hours after the training. During the training session SG animals showed more freezing as compared with CCG (p<0,05). During the test, SG expressed higher freezing than all the other groups (p<0,001). ZENK analysis was conducted with imunohistochemistry. The density of ZENK-positive nuclei in the ventral hippocampus, specifically in the ventromedial hippocampus, was higher for SG as compared to the other groups (p<0,01). The fact that the animals from the MKG expressed lower freezing to the context may be considered as indicative of an amnesic effect of the MK-801. The density of ZENK-positive nuclei in the hippocampus suggests a regional activation that may be related to the retrieval of contextual aversive memory. The present study indicates that synaptic mechanisms mediated by NMDA glutamate receptors participate in the neural plasticity related to the retrieval of contextual aversive memory / Mestrado / Fisiologia / Mestre em Biologia Funcional e Molecular