Mesmo a isquemia sendo a terceira causa de morte em países industrializados, os mecanismos relacionados a esta doença ainda continuam polêmicos e obscuros. Utilizou-se a técnica de privação de oxigênio e glicose (OGD) em fatias do hipocampo de rato para investigar parâmetros mitocondriais, neurais, astrogliais e metabólicos no período de isquemia e durante o período de reoxigenação. Os resultados mostraram uma diminuição na atividade mitocondrial durante o período isquêmico que foi mantido durante todo o período de reoxigenação. Analisando o sobrenadante destas fatias submetidas à OGD, foi observado que os níveis de LDH, NSE e GFAP se elevaram. Com relação aos níveis de lactato, verificou-se sua diminuição durante todos os períodos. Os níveis de S100B estavam elevados somente durante o período de reoxigenação. Este aumento pode ser tanto um mecanismo de neuroproteção desta proteína frente ao insulto ou ainda uma liberação por dano celular astrocitário. Além disso, foi observado um grande aumento nos níveis de glutamato durante a isquemia e este aumento retornou no período de reoxigenação. Por fim, houve uma diminuição na captação de glutamato somente no período de reoxigenação. Todos estes resultados podem ser conseqüência de uma hiper-estimulação dos receptores glutamatérgicos devido ao insulto isquêmico. Em resumo, nosso estudo mostrou alterações em diversos parâmetros neuroquímicos específicos tanto no período isquêmico quanto na reoxigenação, mostrando que cada tipo celular, reage diferentemente frente ao insulto isquêmico na técnica de OGD in vitro. / Stroke is the third cause of mortality in industrialized countries, and the mechanisms related to this disease are polemic and unclear. Oxygen and glucose deprivation (OGD) in acute rat hippocampal slices was performed to investigate mitochondrial, neural, astroglial and metabolic neurochemical parameters at different ischemic and reoxygenation periods. Results showed the mitochondrial activity decrease due energy failure during ischemic insult and reoxygenation time. In the supernatant medium, LDH, NSE and glutamate levels were increased and the lactate decrease by the lack of energy observed in the ischemic period. Parameters such as GFAP, S100B and glutamate uptake suffered alterations only at the reoxygenation period. These results have shown the vulnerability of neurons facing ischemic insult. Meanwhile, it was also observed a delayed injure of astrocytes only at reoxygenation time, which demonstrate the difference between cell types at OGD. In summary, our finding has shown altered at specific neurochemical parameters in OGD in vitro which features the ischemic episodes and reoxygenation periods.

The theme of the thesis is to make a list few fundamental modern methods which can be used in computerized physics. The thesis describes parallel computing, neural networks,genetic algorithms, fuzzy logic. Every chapter include theoretical description, simplified mathematical expression, proposals of technical solution. Applications are briefly mentioned here too. The printed matter is completed with a few simple examples. The closing part of the thesis acquired information about these methods and outlines their future development.

Made available in DSpace on 2016-06-02T20:13:10Z (GMT). No. of bitstreams: 1 2606.pdf: 930592 bytes, checksum: f4756c2d671b859733477486438959b2 (MD5) Previous issue date: 2009-03-06 / The research is an investigation about the phenomenon of the Laugh, from the studies of Henri Bergson and Sigmund Freud up to today's research on neuroscience, gelotology and several other studies on human behaviour. In order to better understand the Laugh, an accurate evaluation of the book " Laughter: An Essay on the Meaning of the Comic", by Henri Bergson is made as an attempt to better understand the main considerations set by the author, in his interpretation of this phenomenon as a Social Gesture and all the implications originated by such fact. In the second chapter of this study, Jokes and their Relation to the Unconscious , by Sigmund Freud, are closely analyzed in details, comparing Freud s and Bergson s approaches and analyzing the mechanisms proposed by Freud concerning the way the Joke works, pointing out the reasons why they would be told to others. The reading and analysis of this book are directed specifically to the study of the Laugh, not approaching any other aspect, relevant to the reading of Freud s work as a whole, which however, would deviate the focus of this work. All the efforts were dedicated to the comprehension of the jokes mechanisms studied by Freud as well as ways to obtain pleasure through them. At the end updated research is verified, such as the one from Richard Wiseman s Laugh Laboratory, that accomplished a worldwide research selecting which would be considered the funniest jokes by people. Also as an object of study there is the role of the mirror-neurones, an important finding that allows a clearer vision about primates and human s social behaviors. The possibility of the laughter to be a behaviour similar to the grooming of the primates is also raised, since both would be related to the exchange of pleasure among individuals viewing the benefit of the group. Following this line, a study is presented defining the laughter as a specific characteristic of the male gender, who would use this feature as an approach aiming at attracting a mate. There isn't a conclusive result, there is not a final word about the laughter because it is clear that in many circumstances the term ranges similar phenomena, which are not exactly the same. In the same way that there is multiple laughter, there are multiple areas that study the distinct variations of the Laugh. / A pesquisa é uma investigação sobre o fenômeno do Riso, partindo dos estudos de Henri Bergson e Sigmund Freud até as pesquisas atuais da neurociência, da gelotologia e dos variados estudos sobre o comportamento humano. Para compreender melhor o Riso, é feita uma avaliação detalhada do livro O Riso , de Henri Bergson, buscando compreender as considerações fundamentais estabelecidas pelo autor, na sua interpretação deste fenômeno como um Gesto Social e todas as implicações que derivam deste fato. No segundo capítulo deste estudo é analisado com detalhes O Chiste e sua relação com o Inconsciente , de Sigmund Freud, comparando as abordagens de Freud e Bergson e analisando os mecanismos propostos por Freud para o funcionamento do chiste e quais as razões pelas quais eles seriam contados. A leitura e análise deste livro são dirigidas especificamente ao estudo do Riso, deixando de abordar outros aspectos, importantes para a leitura da obra de Freud como um todo, mas que desviariam o foco deste trabalho. Todo o esforço foi dedicado à compreensão dos mecanismos do chiste estudados por Freud e das formas de obtenção de prazer através deles. Ao final, pesquisas atuais são estudadas, como as do Laboratório do Riso de Richard Wiseman, que realizou uma pesquisa mundial sobre quais seriam as piadas consideradas mais engraçadas pelas pessoas. Investiga-se também o papel dos neurônios-espelho, importante descoberta que permite uma visão mais clara sobre comportamentos sociais de humanos e primatas. A possibilidade de o riso ser um comportamento semelhante ao grooming dos primatas também é levantada, já que ambas seriam trocas de prazer entre indivíduos visando um benefício dentro do grupo. Nesta linha, é apresentado um estudo que define o riso como uma característica específica do gênero masculino, que usaria o recurso para aproximação da fêmea visando acasalamento. Não há um resultado conclusivo, não há uma palavra final sobre o Riso, pois se torna claro que em muitas circunstâncias o termo abarca fenômenos semelhantes, mas não exatamente iguais. Da mesma maneira que existem múltiplos risos, também existem múltiplas áreas que estudam as distintas variações do Riso.

Mesmo a isquemia sendo a terceira causa de morte em países industrializados, os mecanismos relacionados a esta doença ainda continuam polêmicos e obscuros. Utilizou-se a técnica de privação de oxigênio e glicose (OGD) em fatias do hipocampo de rato para investigar parâmetros mitocondriais, neurais, astrogliais e metabólicos no período de isquemia e durante o período de reoxigenação. Os resultados mostraram uma diminuição na atividade mitocondrial durante o período isquêmico que foi mantido durante todo o período de reoxigenação. Analisando o sobrenadante destas fatias submetidas à OGD, foi observado que os níveis de LDH, NSE e GFAP se elevaram. Com relação aos níveis de lactato, verificou-se sua diminuição durante todos os períodos. Os níveis de S100B estavam elevados somente durante o período de reoxigenação. Este aumento pode ser tanto um mecanismo de neuroproteção desta proteína frente ao insulto ou ainda uma liberação por dano celular astrocitário. Além disso, foi observado um grande aumento nos níveis de glutamato durante a isquemia e este aumento retornou no período de reoxigenação. Por fim, houve uma diminuição na captação de glutamato somente no período de reoxigenação. Todos estes resultados podem ser conseqüência de uma hiper-estimulação dos receptores glutamatérgicos devido ao insulto isquêmico. Em resumo, nosso estudo mostrou alterações em diversos parâmetros neuroquímicos específicos tanto no período isquêmico quanto na reoxigenação, mostrando que cada tipo celular, reage diferentemente frente ao insulto isquêmico na técnica de OGD in vitro. / Stroke is the third cause of mortality in industrialized countries, and the mechanisms related to this disease are polemic and unclear. Oxygen and glucose deprivation (OGD) in acute rat hippocampal slices was performed to investigate mitochondrial, neural, astroglial and metabolic neurochemical parameters at different ischemic and reoxygenation periods. Results showed the mitochondrial activity decrease due energy failure during ischemic insult and reoxygenation time. In the supernatant medium, LDH, NSE and glutamate levels were increased and the lactate decrease by the lack of energy observed in the ischemic period. Parameters such as GFAP, S100B and glutamate uptake suffered alterations only at the reoxygenation period. These results have shown the vulnerability of neurons facing ischemic insult. Meanwhile, it was also observed a delayed injure of astrocytes only at reoxygenation time, which demonstrate the difference between cell types at OGD. In summary, our finding has shown altered at specific neurochemical parameters in OGD in vitro which features the ischemic episodes and reoxygenation periods.

Parkinson’s disease (PD) is a debilitating movement disorder. The cardinal symptoms of PD are bradykinesia, resting tremors and rigidity. PD is characterized by degeneration of dopaminergic neurons of A9 region, substantia nigra pars compacta (SNpc) and loss of dopaminergic terminals in striatum while the dopaminergic neurons of A10 region, ventral tegmental area (VTA) are relatively protected. Putative mechanisms, such as mitochondrial dysfunction, dysregulation of the ubiquitin proteasome system and increased oxidative stress have been hypothesized to mediate PD pathology. However, precise mechanisms that underlie selective vulnerability of SNpc dopaminergic neurons to degeneration are unknown. The aim of this thesis was to evaluate the pathological mechanisms that may contribute to degeneration of SNpc dopaminergic neurons in PD. Dopaminergic neurons of SNpc are pacemakers and constant calcium entry through L-type calcium channel, Cav1.3 has been reported in these neurons during pacemaking. In addition, these neurons have poor calcium buffering capacity. Together, this leads to dysregulation of calcium homeostasis in the SNpc dopaminergic neurons leading to increased oxidative stress. Gene expression of the full length channel and the variant was investigated in the mouse midbrain and further their presence was verified in mouse SNpc and VTA and also in SNpc and VTA in the MPTP mouse model of PD. Gene expression of Cav1.3 -42 and its variant was also studied in SNpc from autopsy tissue from PD patients and age matched controls. Having studied differential expression of the calcium channels, global changes in gene expression in SNpc from the MPTP mouse model of PD and PD autopsy tissues were next examined. This is the first report of transcriptome profile alterations from SNpc in mouse model and PD tissue performed using RNA-seq. Gene expression profiles were examined from SNpc 1 day post single exposure to MPTP, in which case there is no neuronal death and 14 days after daily MPTP treatment where SNpc has undergone ~50% cell death. Further, RNA- seq was performed to study gene expression alterations in SNpc from human PD patients and age- matched controls. The RNA-seq data was taken through extensive analyses; analysed for differential gene expression, gene-set enrichment analysis, pathway analysis and network analysis. Glutaredoxin 1 (Grx1) is a thiol disulfide oxidoreductase that catalyses the deglutathionylation of proteins and is important for regulation of cellular protein thiol redox homeostasis. Down-regulation of Grx1 has been established to exacerbate neurodegeneration through impairment of cell survival signalling. Previous work from our laboratory has demonstrated that perturbation of protein thiol redox homeostasis through diamide injection into SNpc leads to development of PD pathology and motor deficits. It was therefore investigated if Grx1 down-regulation in vivo, leading to increased glutathionylation and protein thiol oxidation, could result in PD pathology. This work is thus the first study of RNA-seq based transcriptomic profile alterations in SNpc from human PD patients. This work also highlights several differences between mouse model and human PD tissue indicating that the underlying mechanisms of PD pathogenesis differ from mouse to humans in addition to developing a novel model for PD.

Ces travaux de thèse, réalisés dans une équipe concevant des circuits analogiques neuromimétiques suivant le modèle d’Hodgkin-Huxley, concernent la modélisation de neurones biologiques, plus précisément, l’estimation des paramètres de modèles de neurones. Une première partie de ce manuscrit s’attache à faire le lien entre la modélisation neuronale et l’optimisation. L’accent est mis sur le modèle d’Hodgkin- Huxley pour lequel il existait déjà une méthode d’extraction des paramètres associée à une technique de mesures électrophysiologiques (le voltage-clamp) mais dont les approximations successives rendaient impossible la détermination précise de certains paramètres. Nous proposons dans une seconde partie une méthode alternative d’estimation des paramètres du modèle d’Hodgkin-Huxley s’appuyant sur l’algorithme d’évolution différentielle et qui pallie les limitations de la méthode classique. Cette alternative permet d’estimer conjointement tous les paramètres d’un même canal ionique. Le troisième chapitre est divisé en trois sections. Dans les deux premières, nous appliquons notre nouvelle technique à l’estimation des paramètres du même modèle à partir de données biologiques, puis développons un protocole automatisé de réglage de circuits neuromimétiques, canal ionique par canal ionique. La troisième section présente une méthode d’estimation des paramètres à partir d’enregistrements de la tension de membrane d’un neurone, données dont l’acquisition est plus aisée que celle des courants ioniques. Le quatrième et dernier chapitre, quant à lui, est une ouverture vers l’utilisation de petits réseaux d’une centaine de neurones électroniques : nous réalisons une étude logicielle de l’influence des propriétés intrinsèques de la cellule sur le comportement global du réseau dans le cadre des oscillations gamma. / These works, which were conducted in a research group designing neuromimetic integrated circuits based on the Hodgkin-Huxley model, deal with the parameter estimation of biological neuron models. The first part of the manuscript tries to bridge the gap between neuron modeling and optimization. We focus our interest on the Hodgkin-Huxley model because it is used in the group. There already existed an estimation method associated to the voltage-clamp technique. Nevertheless, this classical estimation method does not allow to extract precisely all parameters of the model, so in the second part, we propose an alternative method to jointly estimate all parameters of one ionic channel avoiding the usual approximations. This method is based on the differential evolution algorithm. The third chaper is divided into three sections : the first two sections present the application of our new estimation method to two different problems, model fitting from biological data and development of an automated tuning of neuromimetic chips. In the third section, we propose an estimation technique using only membrane voltage recordings – easier to mesure than ionic currents. Finally, the fourth and last chapter is a theoretical study preparing the implementation of small neural networks on neuromimetic chips. More specifically, we try to study the influence of cellular intrinsic properties on the global behavior of a neural network in the context of gamma oscillations.

Fundamentação: O acidente vascular cerebral (AVC) é uma das principais causas de morte em todo o mundo e a maioria dos sobreviventes permanece com alguma sequela neurológica após o evento agudo. O presente estudo objetiva investigar a associação de alguns biomarcadores sanguíneos com as escalas de AVC, bem como avaliar a capacidade dos biomarcadores selecionados na predição de desfechos neurológicos durante o tempo de acompanhamento. Material e Métodos: Incluímos nesse estudo 60 pacientes com AVC agudo admitidos na unidade neurovascular da emergência ou na unidade de medicina intensiva do Hospital de Clínicas de Porto Alegre, nas primeiras 24 horas do início dos sintomas. Foram coletas amostras sanguíneas nas primeiras 24 horas, no terceiro e no quinto dias após o AVC para dosagem de enolase neurônio específica (ENS), proteína S100ß (S100ß), interleucina 6 (IL-6), proteína C reativa (PCR) e fator neurotrófico derivado do cérebro (BDNF). A gravidade do AVC e o grau de dependência funcional dos pacientes após o AVC foram mensurados através das escalas do National Institutes of Health Stroke Scale (NIHSS) e modified Rankin Scale (mRS) nos três momentos das coletas sanguíneas e na alta hospitalar. Resultados: Os níveis séricos de S100ß, IL-6 e PCR mostraram-se o melhor painel de biomarcadores após o AVC nesse estudo. Quando os pacientes foram subdivididos em dois grupos para a avaliação de desfechos neurológicos, usando as escalas do NIHSS (NIHSS ≤ 6 e NHISS > 6) e mRS (mRS ≤ 3 e mRS > 3), ambas as escalas apresentaram boa associação entre as concentrações de S100ß e de IL-6 em todas as medidas e as escalas de AVC para bom prognóstico (NIHSS ≤ 6 e mRS ≤ 3) na alta hospitalar. Dentre os biomarcadores selecionados para o estudo, foram os três citados acima que apresentaram as melhores correlações com as escalas de AVC e com o prognóstico pós AVC durante o tempo de acompanhamento. Conclusão: Os biomarcadores séricos podem ser úteis na avaliação da gravidade e do prognóstico após o AVC. A associação de S100ß, IL-6 e PCR parece acrescentar pouco às escalas validadas de AVC na capacidade de predizer desfechos após o evento agudo. / Background and Purpose: Stroke is an important cause of death worldwide, and the majority of stroke survivors suffer from some form of residual disability. This study aimed to investigate the association of blood biomarkers with stroke scales and their predictive value after acute stroke at the time of admission until hospital discharge. Design and Methods: We investigated 60 patients with acute stroke who were admitted within 24 h of event onset at the intensive care unit or neurovascular emergency unit of Clínicas Hospital. All patients provided venous blood samples for the measurement of neuron-specific enolase (NSE), S100ß protein (S100ß), interleukin-6 (IL-6), C-reactive protein (CRP) and brain-derived neurotrophic factor (BDNF) within 24 h of the acute event, on the third day and on the fifth day after the stroke. Neurological stroke severity and global disability were determined with the National Institutes of Health Stroke Scale (NIHSS) and modified Rankin Scale (mRS) at the same three times of blood collection and at the time of hospital discharge. Results: The serum levels of the S100ß protein, IL-6 and CRP seem to constitute the best panel of biomarkers after acute stroke in this study. When patients were subdivided into two groups according to the NIHSS (NIHSS ≤ 6 and NIHSS > 6) and mRS (mRS ≤ 3 and mRS > 3) scores, which were used as neurological outcome measures, both neurologic scores for good outcome (NIHSS ≤ 6 and mRS ≤ 3) at hospital discharge were significantly related to the S100ß protein and IL-6 levels at all of the measured time points. Among the analyzed blood markers, S100ß, IL-6 and PCR levels significanttly correlated with the stroke scales and prognostic value. Conclusion: Blood biomarkers may be useful in acute stroke either by suggesting stroke severity or providing a prognostic value. The addition of the S100ß protein, IL-6 and CRP to previously validated stroke scales slightly improves the ability of these scales to predict outcome.

La représentation de l’information mnésique est toujours une question d’intérêt majeur en neurobiologie, mais également, du point de vue informatique, en apprentissage artificiel. Dans certains modèles de réseaux de neurones artificiels, nous sommes confrontés au dilemme de la récupération de l’information sachant, sur la base de la performance du modèle, que cette information est effectivement stockée mais sous une forme inconnue ou trop complexe pour être facilement accessible. C’est le dilemme qui se pose pour les grands réseaux de neurones et auquel tente de répondre le paradigme du « reservoir computing ».Le « reservoir computing » est un courant de modèles qui a émergé en même temps que le modèle que nous présentons ici. Il s’agit de décomposer un réseau de neurones en (1) une couche d’entrée qui permet d’injecter les exemples d’apprentissage, (2) un « réservoir » composé de neurones connectés avec ou sans organisation particulière définie, et dans lequel il peut y avoir des mécanismes d’adaptation, (3) une couche de sortie, les « readout », sur laquelle un apprentissage supervisé est opéré. Nous apportons toutefois une particularité, qui est celle d’utiliser les délais axonaux, temps de propagation d’une information d’un neurone à un autre. Leur mise en oeuvre est un apport computationnel en même temps qu’un argument biologique pour la représentation de l’information. Nous montrons que notre modèle est capable d’un apprentissage artificiel efficace et prometteur même si encore perfectible. Sur la base de ce constat et dans le but d’améliorer les performances nous cherchons à comprendre les dynamiques internes du modèle. Plus précisément nous étudions comment la topologie du réservoir peut influencer sa dynamique. Nous nous aidons pour cela de la théorie des groupes polychrones. Nous avons développé, pour l’occasion, des algorithmes permettant de détecter ces structures topologico-dynamiques dans un réseau, et dans l’activité d’un réseau de topologie donnée.Si nous comprenons les liens entre topologie et dynamique, nous pourrons en tirer parti pour créer des réservoirs adaptés aux besoins de l’apprentissage. Finalement, nous avons mené une étude exhaustive de l’expressivité d’un réseau en termes de groupes polychrones, en fonction de différents types de topologies (aléatoire, régulière, petit-monde) et de nombreux paramètres (nombre de neurones, connectivité, etc.). Nous pouvons enfin formuler un certain nombre de recommandations pour créer un réseau dont la topologie peut être un support riche en représentations possibles. Nous tentons également de faire le lien avec la théorie cognitive de la mémoire à traces multiples qui peut, en principe, être implémentée et étudiée par le prisme des groupes polychrones. / How memory information is represented is still an open question in neurobiology, but also, from the computer science point of view, in machine learning. Some artificial neuron networks models have to face the problem of retrieving information, knowing that, in regard to the model performance, this information is actually stored but in an unknown form or too complex to be easily accessible. This is one of the problems met in large neuron networks and which « reservoir computing » intends to answer.« Reservoir computing » is a category of models that has emerged at the same period as, and has propoerties similar to the model we present here. It is composed of three parts that are (1) an input layer that allows to inject learning examples, (2) a « reservoir » composed of neurons connected with or without a particular predefined, and where there can be adaptation mecanisms, (3) an output layer, called « readout », on which a supervised learning if performed. We bring a particularity that consists in using axonal delays, the propagation time of information from one neuron to another through an axonal connexion. Using delays is a computational improvement in the light of machin learning but also a biological argument for information representation.We show that our model is capable of a improvable but efficient and promising artificial learning. Based on this observation and in the aim of improving performance we seek to understand the internal dynamics of the model. More precisely we study how the topology of the reservoir can influence the dynamics. To do so, we make use of the theory of polychronous groups. We have developped complexe algorithms allowing us to detect those topologicodynamic structures in a network, and in a network activity having a given topology.If we succeed in understanding the links between topology and dynamics, we may take advantage of it to be able to create reservoir with specific properties, suited for learning. Finally, we have conducted an exhaustive study of network expressivness in terms of polychronous groups, based on various types of topologies (random, regular, small-world) and different parameters (number of neurones, conectivity, etc.). We are able to formulate some recommandations to create a network whose topology can be rich in terms of possible representations. We propose to link with the cognitive theory of multiple trace memory that can, in principle, be implemented and studied in the light of polychronous groups.

Este trabalho descreve as pesquisas e desenvolvimentos em instrumentação eletrônica computacional, realizados para viabilizar experiências na área de neurobiofísica, tendo como objetivos principais a geração de estímulos visuais para invertebrados e a captação de sinais eletrofisiológicos gerados por sistemas biológicos sensoriais submetidos a estímulos. Trata-se de um conjunto de equipamentos que, operando de maneira integrada, são capazes de fornecer e sincronizar estímulos, realizar a aquisição dos dados de sinais neurais a serem utilizados para controle e análise em experiências in vivo\" nos estudos da visão de invertebrados no Laboratório de Neurobiofísica - DipteraLab do IFSC. A integração desta instrumentação eletrônica visa facilitar a sua utilização durante os experimentos, permitindo o acompanhamento das aquisições de dados neurais, viabilizando a realização de experimentos com alterações dos estímulos através de realimentação em tempo real. / This work describes the research and development of computational instrumentation to be used in experimental neurobiophysics. The developed electronic modules operate in an integrated manner and are used to generate visual stimuli for invertebrates and capture electrophysiological signals generated by biological systems subjected to sensory stimuli. They are able to provide synchronized stimuli and perform data acquisition of neural signals events to be used for control and analysis of vision experiments with invertebrates at the Laboratory of Neurobiophysics Dipteralab Laboratory, at the IFSC. The integration of electronic instrumentation facilitate its use during experiments allowing, through its monitoring capabilities of the neural data acquisition, the realization of experiments with real time stimuli changes through feedback. The possibility to perform pre-analyses of neural responses in behavioral closed loop experiments is also implemented.

Desenvolvemos um protocolo experimental para estudar a codificação do movimento horizontal pelo neurônio H1 de moscas varejeiras Chrysomya megacephala durante o voo. Tradicionalmente, o neurônio H1 é considerado puramente sensorial, e a maioria dos trabalhos tem utilizado o trem de potenciais de ação deste neurônio para explorar o código neural visual da mosca enquanto esta se encontra imobilizada (cabeça, asas, patas) e observa passivamente uma imagem que se move de maneira controlada. Nosso laboratório já dispunha de um aparato para registrar de maneira adequada a atividade do H1, enquanto a mosca imobilizada observava um padrão de barras verticais se movendo de acordo com uma sequência de velocidades previamente escolhidas pelo experimentador. Por meio de um novo suporte, especialmente desenvolvido neste trabalho, pudemos obter as medidas eletrofisiológicas quando apenas parte do corpo do inseto se encontra fixo. Além disso, conseguimos encontrar uma maneira de estimular a mosca para que esta apresentasse períodos de atividade, com batimentos de asa, similares ao voo. Utilizamos estes períodos de atividade de voo para registrar a atividade dos músculos que controlam a direção do voo. Também utilizamos microfones que captam pequenas diferenças de pressão do batimento das asas para inferir quando a mosca quer mudar a direção do voo e validamos estas medidas com o auxílio de um pequeno acelerômetro adaptado à haste de fixação da mosca. Mostramos que a taxa média de disparo do H1 é mais alta quando a mosca está voando do que quando está com as asas paradas. Além disso, a resposta ao estímulo visual é mais rápida e mais intensa quando a mosca está voando. Estes resultados são evidências de que a codificação da informação visual é diferente nos dois casos. Nossos experimentos com registro da atividade de controle motor do voo através de microfones permitiram encontrar padrões que podem ser usados para inferir a tentativa do inseto de mudar a direção do voo, em um intervalo de poucas batidas de asas e de maneira não invasiva. Esta informação poderá ser utilizada no futuro para produzir um equipamento em que a própria mosca controle o movimento da imagem em tempo real. / We developed a protocol do address the movement information coding in flying Chrysomya Megacephala by the horizontal sensitive H1neuron. H1 is traditionally considered a purely sensory neuron and his sequence of action potentials is used to explore the visual neural code while an immobilized fly passively watch a movie generated by the experimenter. We improved an apparatus to perform such experiments, that was already working in our laboratory, by developing a new holder for the fly and electrode that allowed to record from H1 while only part of the fly was fixed, keeping wings and legs free to move. Moreover we found a protocol to stimulate the fly to present long periods of wing beating activity, very similar to the insect flying. During these flying periods of activity, we also recorded from the steering muscles that control fly direction as well as from small microphones sensitive to subtle pressure variations of the beating wings when the fly try to change direction. These recordings were validated by using an accelerometer adapted to the fly fixation rod. According to our results, the firing rate of H1 increases during the flying periods. Moreover, the response to visual stimuli is faster and more intense during the flying than the response when the wings are not beating. These are evidences that the information coding is different in both cases. We could also find some patterns in the time series of the microphones recordings that allowed us to infer, in a small number of wing beatings, when the insect tries to turn and what is the turning direction. This information can be useful to perform new experiments in the future, were the fly controls in real-time the image movement.