This thesis is in the field of computer vision, focusing on the problems of optical flow estimation. Optical flow is a notoriously difficult 2D problem since it’s inherently underconstrained. To introduce the concept of cyclopean optical flow, we will downgrade the 2D into 1D to make it more accessible. It proposes a new approach based on a "cyclopean" frame of reference. We apply a constrained gradient-based technique to solve 1D optical flow, for which the constraints are gradient behavior and correlation score. This thesis focuses on the fundamental problem of ensuring that the gradient remains usable in an interval large enough to cover the spatial displacement of motion. The proposed "cyclopean" approach does not enforce optical measurements over a fixed grid, which results in more reliable results. To further increase the allowed motion interval, we propose a pyramidal constraint that allows solving over a coarse-to-fine approach. We solved over aerial imagery, Sintel data-set, and Sintel data-set when artificially displaced 10% of the ground truth. This work is developed in the "continuous" framework commonly used for small motion optical flow. Our results showed good management of false positives while maintaining a good amount of convergence density. However, our method isn’t as precise as the current state-of-the-art benchmarks, as it specializes in very small motions. Also, it’s important to mention versatility comes with the concept of "continuous" representation. This allows us to select regions to be solved, opening the possibility of adapting to the spectrum of sparse or dense optical flow. From this study point of view, we can highlight traditional methods have relevance even in the deep learning era, offering a new set of tools to exploit on the pursue of solving optical flow. / Ce mémoire s’intéresse au domaine de la vision par ordinateur, et plus particulièrement l’estimation du flux optique. Le flux optique est un problème 2D notoirement difficile, car il est intrinsèquement sous-contraint. Pour introduire la notion de flux optique cyclopéen, nous allons considérer le problème en 1D pour éliminer le problème d’ouverture lié au mouvement 2D. Nous proposons une nouvelle approche basée sur un référentiel « cyclopéen », basée sur gradient calculé dans un espace continu pour résoudre le flux optique 1D. Ce mémoire se concentre a garantir que le gradient reste utilisable dans un intervalle suffisamment grand pour couvrir le déplacement spatial du mouvement. Lors de la résolution sur une approche coarse-to-fine, une représentation pyramidale est utilisée. Les résultats sur des images aériennes ainsi que des données synthétiques sont prometteurs. Ce travail se distingue des tendances actuelles en flux optique parle fait qu’il se spécialise pour les flux optiques à faible mouvement. Nos résultats ont montré une bonne gestion des faux positifs tout en conservant une bonne densité. Nous considérons que la fiabilité des mesures de mouvement est très élevée, ce qui est au moins aussi important que la précision elle-même dans beaucoup d’applications. Ainsi, la polyvalence de la représentation "continue" permet de mieux contrôler la densité obtenue en fonction de la scène analysée. À notre avis, cette approche, qui complète les méthodes traditionnelles, ouvrira la voie à de nouvelles approches en apprentissage profond.

Le Syndrome de l’X Fragile (SXF) est la forme héréditaire de retard mental la plus fréquente et la cause la mieux caractérisée de troubles du spectre autistique (TSA). Elle est causée par une mutation causant l’inactivation du gène Fmr1 (codant pour la protéine FMRP). La sensibilité accrue aux stimuli sensoriels est une caractéristique importante du SXF et des TSA, mais les mécanismes sous-jacents sont encore mal compris. Nous avons constaté que la suppression du gène Fmr1 entrainait une hyperexcitabilité sensorielle dans le modèle murin du SXF. Les souris Fmr1KO nécessitaient significativement moins d'informations tactiles pour l'exploration haptique, et les représentations évoquées par les informations tactiles provenant des vibrisses dans le cortex somatosensoriel primaire (S1) se propageaient à une vitesse plus élevée chez les souris Fmr1KO par rapport aux souris témoins sauvages.Au niveau cellulaire, il a été montré que les ARNm de plusieurs sous-unités de canaux ioniques (par exemple HCN1, KCNMA1) jouant un rôle clé dans le traitement de l'information dendritique / neuronale étaient des cibles de la protéine FMRP (Liao et al, 2008; Darnell et al, 2011). Sur la base de ces observations, nous avons étudié les canalopathies comme une caractéristique importante du SXF. Nous avons testé de possibles dysfonctionnement des canaux ioniques, et leurs conséquences sur le traitement de l'information dendritique dans les neurones pyramidaux du néocortex de la couche 5 chez les souris Fmr1KO, en utilisant une combinaison d’approches électrophysiologiques et d’imagerie calcique bi-photonique. Nos résultats ont montré que les dendrites des neurones pyramidaux du S1 étaient hyperexcitables, facilitant ainsi le couplage des entrées d’information synaptique à la génération de potentiel d'action en sortie dans les neurones. Cette altération était, au moins en partie, attribuable à un dysfonctionnement des canaux Ih et BKCa et a été partiellement restaurée par l'activation pharmacologique des canaux BKCa. Ces résultats plaident en faveur d'un rôle nouveau et crucial des canalopathies dans l'expression de l'hyperexcitabilité sensorielle dans le SXF. / Fragile X Syndrome (FXS) is the most common form of inherited mental retardation syndrome and most well characterized cause of Autism Spectrum Disorders (ASD), and it is caused by a silencing mutation of the gene Fmr1 (encoding the protein FMRP). Increased sensitivity to sensory stimuli is a prominent feature of FXS and ASD, but its underlying mechanisms are poorly understood. We found that deletion of the Fmr1 gene results in somatosensory hyper-excitability in a mouse model for FXS. Fmr1 knockout (Fmr1KO) mice required significantly less tactile information for haptic exploration, and touch-evoked whisker representations in the primary somatosensory cortex (S1) spread with increased velocity in Fmr1KO mice compared to wild-type control. At the cellular level, it has been shown that the mRNAs of several ion channel subunits (e.g. HCN1, KCNMA1) playing key roles in dendritic/neuronal information processing are regulated by FMRP (Liao et al., 2008; Darnell et al., 2011). Based on these observations, we investigated channelopathies as a prominent feature of FXS. We probed ion channel dysfunction, and its consequence for dendritic information processing in neocortical pyramidal neurons of layer 5 in Fmr1KO mice, using a combination of electrophysiological and 2-photon calcium imaging approaches. Our results showed that dendrites of S1 pyramidal neurons were hyper-excitable, facilitating the coupling of synaptic input to the generation of action potential output in these neurons. This defect was, at least in part, attributable to a dysfunction of Ih channels and BKCa channels and was partially rescued by pharmacological activation of BKCa channels. These findings argue for a novel and critical role for channelopathies in the expression of sensory hyper-excitability in FXS.

Weather radar imagery is important for several remote sensing applications including tracking of storm fronts and radar echo classification. In particular, tracking of precipitation events is useful for both forecasting and classification of rain/non-rain events since non-rain events usually appear to be static compared to rain events. Recent weather radar imaging-based forecasting approaches [3] consider that precipitation events can be modeled as a combination of localized functions using Radial Basis Function Neural Networks (RBFNNs). Tracking of rain events can be performed by tracking the parameters of these localized functions. The RBFNN-based techniques used in forecasting are not only computationally expensive, but also moderately effective in modeling small size precipitation events. In this thesis, an existing RBFNN technique [3] was implemented to verify its computational efficiency and forecasting effectiveness. The feasibility of modeling precipitation events using RBFNN effectively was evaluated, and several modifications to the existing technique have been proposed.

The foundation stone of this thesis is to perform a financial analysis of Czech non-financial companies for the years from 2007 to 2009 in order to evaluate development of the basic groups of financial analysis ratios before and after the outbreak of the financial crisis. Based on this analysis, I analyze the changes of the selected ratios in relation with the macroeconomic development. This is carried out by means of the description in words and for some significant changes using correlation analysis with GDP. The analysis results in the findings that the changes of ratios of return on assets and return on equity were negative in the analyzed period and for each year the factors of these changes are tracked using the pyramidal decomposition. In the statistical part of my thesis I partially succeeded in proving linear correlation between return on assets and GDP and a lower confidence level linear correlation between personnel cost to revenues ratio and GDP. Also, there were some correlations between individual ratios found to be significant.

Im Hippokampus gibt es verschiedene Netzwerkoszillationen mit unterschiedlichen Frequenzen. Ein Typ dieser Oszillationen sind die ”Ripple” mit einer Frequenz von etwa 200 Hz, welche in Komplexen mit einer Aktivitätswelle, der ”Sharp wave” auftreten. Sharp wave-ripple Komplexe (SWR) werden mit der Konsolidierung von Gedächtnis in Zusammenhang gebracht. Das Netzwerk, das den SWR unterliegt, hat bestimmte Mechanismen, von denen einige in der vorliegenden Arbeit näher untersucht werden. Im ersten Teil wird untersucht, wie ein hemmendes Interneuron in der hippokampalen Region CA1, das ”oriens-lacunosum moleculare” (O-LM) Interneuron, während der SWR in das Netzwerk eingebunden ist. Wir konnten zeigen, dass O-LM Zellen während der SWR starke synaptische Exzitation erhalten. Die Exzitation tritt spät während des Ripples im lokalen Feldpotential (LFP) auf und zeigt eine Phasenankopplung an die Ripple. In etwa der Hälfte der O-LM Zellen konnten wir Aktionspotentiale während der SWR zeigen, die an die Ripple-Phase im LFP gebunden sind und nach dem Ripple-Maximum auftreten. Der zweite Teil der Arbeit bezieht sich auf die hippokampale Region CA1 und vergleicht während SWR den synaptischen Eingang in zwei Untertypen von Pyramidenzellen, die tiefen und die oberflächlichen Pyramidenzellen. Beide Untertypen bekommen synaptische Eingänge während der SWR. Diese Eingänge sind eine Mischung aus exzitatorischen und inhibitorischen Eingängen, die in den Untertypen in ihrer Stärke vergleichbar sind. Im dritten Teil untersuchen wir die SWR in der Region CA2 des Hippokampus und zeigen, dass Pyramidenzellen in CA2 in das Netzwerk während SWR eingebunden sind. Wir können sowohl exzitatorische als auch inhibitorische synaptische Eingänge in den Pyramidenzellen darstellen und konnten eine Phasenkopplung der synaptischen Eingänge an die SWR im LFP zeigen. Aufgrund der Phasenverschiebung bei verschiedenen Haltepotentialen vermuten wir einen Oszillator für die Exzitation und einen für die Hemmung. / In the hippocampus there are different patterns of activity also known as network oscillations. These oscillations express different frequencies, and one oscillation is the ripple oscillation at around 200 Hz. It is associated with an activity wave called sharp wave and form a so-called sharp wave-ripple complex (SWR). SWRs are implicated in memory consolidation. In this thesis we investigate mechanisms underlying sharp wave-ripple complexes. In the first part of this thesis I examine one type of inhibitory neurons in the region CA1 of the hippocampus during SWR. Oriens-lacunosum moleculare (O-LM) interneurons receive strong excitatory synaptic input during ripples. This input arrives after the ripple maximum and is phase locked with the ripple cycles. Around half of the probed O-LM cells fire during the SWR and thereby show an active participation during SWR. The magnitude of excitation in O-LM cells and the ratio between excitation and inhibition determine if an O-LM cell is active during the SWR. Action potentials in these cells occur late during the SWR and are phase locked. In the second part the synaptic input onto excitatory pyramidal cells were investigated during ripple oscillations. Previous work has identified two different types of pyramidal cells in area CA1. We recorded from deep and superficial pyramidal cells. For both types of pyramidal cells the inhibitory and excitatory synaptic inputs temporally associated with ripples express comparable strength. In the last and third part, I recorded SWR in the CA2 region of the hippocampus and showed incidence, frequency and amplitude of ripples and SWR. Pyramidal cells in the CA2 region are integrated into the network during SWR. They receive SWR associated synaptic input during SWR. The excitatory and inhibitory synaptic inputs in CA2 pyramidal cells were investigated in detail. Phase analysis show phase locking of local field potential ripples and synaptic inputs to the ascending phase of the ripple cycle.

Unter Spikelets versteht man kleine Depolarisationen mit einer Spike-ähnlichen Wellenform, die man in intrazellulären Ableitungen von verschiedenen Neuronentypen messen kann. In kortikalen Pyramidenzellen wurde ausgeprägte Spikelet-Aktivität nachgewiesen, die erheblich das Membranpotential beeinflussen kann (Crochet et al., 2004; Epsztein et al., 2010; Chorev and Brecht, 2012). Nichtsdestotrotz bleibt der Ursprung von Spikelets in diesen Neuronen unbekannt. In der vorgelegten Arbeit nutzte ich theoretische Modellierung um die Mechanismen von Spikelet-Erzeugung in Pyramidenzellen zu untersuchen. Zuerst sah ich die verschiedenen Hypothesen über den Ursprung von Spikelets durch. In der Literatur entdeckte ich zwei verschiedene Typen von Spikelets. Diese Arbeit konzentriert sich auf den häufiger vorkommenden Typ von Spikelets, welcher durch relativ große Amplituden gekennzeichnet ist. Die Eigenschaften dieser Spikelets passen am besten zu einem axonal Erzeugungsmechanismus. Im zweiten Kapitel widmete ich mich der Hypothese, dass somatische Spikelets axonalen Ursprungs mit somato-dendritischen Inputs hervorgerufen werden können. Ich identifizierte Bedingungen, die es erlauben ein Aktionspotential (AP) am Initialsegment vom Axon (AIS) zu initiieren, welches sich entlang des Axons ausbreitet, aber kein AP im Soma auslöst. Schließlich simulierte ich extrazelluläre Wellenformen von APs und Spikelets und verglich sie mit experimentellen Daten (Chorev and Brecht, 2012). Dieser Vergleich zeigte auf, dass die extrazellulären Wellenformen von Spikelets, die innerhalb einer Zellen am AIS erzeugt werden, gut zu den Daten passen. Zusammenfassend unterstützen meine Ergebnisse die Hypothese, dass Spikelets in Pyramidenzellen am AIS entstehen. Dieser Mechanismus könnte ein Mittel zum Energiesparen bei der Erzeugung von Output-APs sein. Außerdem könnte dadurch die dendritische Plastizität, die auf der Rückwärtspropagierung von APs beruht, reguliert werden. / Spikelets are transient spike-like depolarizations of small amplitudes that can be measured in somatic intracellular recordings of many neuron types. Pronounced spikelet activity has been demonstrated in cortical pyramidal neurons in vivo (Crochet et al., 2004; Epsztein et al., 2010; Chorev and Brecht, 2012), influencing membrane voltage dynamics including action potential initiation. Nevertheless, the origin of spikelets in these neurons remains elusive. In thi thesis, I used computational modeling to examine the mechanisms of spikelet generation in pyramidal neurons. First, I reviewed the hypotheses previously suggested to explain spikelet origin. I discovered two qualitatively different spikelet types described in the experimental literature. This thesis focuses on the more commonly reported spikelet type, characterized by relatively large amplitudes of up to 20 mV. I found that the properties of these spikelets fit best to an axonal generation mechanism. Second, I explored the hypothesis that somatic spikelets of axonal origin can be evoked with somato-dendritic inputs. I identified the conditions allowing these orthodromic inputs to trigger an action potential at the axon initial segment, which propagates along the axon to the postsynaptic targets, but fails to elicit an action potential in the soma and the dendrites. Third, I simulated extracellular waveforms of action potentials and spikelets and compared them to experimental data (Chorev and Brecht, 2012). This comparison demonstrated that the extracellular waveforms of single-cell spikelets of axonal origin are consistent with the data. Together, my results suggest that spikelets in pyramidal neurons might originate at the axon initial segment within a single cell. Such a mechanism might be a way of reducing the energetic costs associated with the generation of output action potentials. Moreover, it might allow to control the dendritic plasticity by backpropagating action potentials.

No description available.

Le traitement de l'information sensorielle par le cortex cérébral requiert l'activation harmonieuse de micro-circuits neuronaux excitateurs et inhibiteurs interconnectés, ciblant les neurones pyramidaux de couche 5. Ces derniers élaborent les signaux de sortie corticaux et reçoivent un ratio de 20% d'excitation (E) et 80% d'inhibition (I). La dérégulation de cette balance E-I ou du système sérotoninergique conduit à des neuropathologies telles la dépression et la schizophrénie mais les interrelations entre la sérotonine et la balance E-I sont inconnues. Nous avons montré que la 5-HT endogène module la balance E-I en fonction du type de récepteur 5-HT recruté (1A, 2A, 3, 4, 7) et de sa localisation spécifique dans la colonne corticale. Ces données électrophysiologiques constituent la première évidence pour une action modulatrice fine de la sérotonine corticale sur la balance E-I et révèle la ségrégation fonctionnelle des récepteurs 5-HT dans les réseaux de neurones sensoriels.

Electronic imaging technologies are faced with the challenge of power consumption when transmitting large amounts of image data from the acquisition imager to the display or processing devices. This is especially a concern for portable applications, and becomes more prominent in increasingly high-resolution, high-frame rate imagers. Therefore, new sampling techniques are needed to minimize transmitted data, while maximizing the conveyed image information. <br /><br /> From this point of view, two approaches have been proposed and implemented in this thesis: <ol> <li> A system-level approach, in which the classical 1D row sampling CMOS imager is modified to a 2D ring sampling pyramidal architecture, using the same standard three transistor (3T) active pixel sensor (APS). </li> <li> A device-level approach, in which the classical orthogonal architecture has been preserved while altering the APS device structure, to design an expandable multiresolution image sensor. </li> </ol> A new scanning scheme has been suggested for the pyramidal image sensor, resulting in an intrascene foveated dynamic range (FDR) similar in profile to that of the human eye. In this scheme, the inner rings of the imager have a higher dynamic range than the outer rings. The pyramidal imager transmits the sampled image through 8 parallel output channels, allowing higher frame rates. The human eye is known to have less sensitivity to oblique contrast. Using this fact on the typical oblique distribution of fixed pattern noise, we demonstrate lower perception of this noise than the orthogonal FPN distribution of classical CMOS imagers. <br /><br /> The multiresolution image sensor principle is based on averaging regions of low interest from frame-sampled image kernels. One pixel is read from each kernel while keeping pixels in the region of interest at their high resolution. This significantly reduces the transferred data and increases the frame rate. Such architecture allows for programmability and expandability of multiresolution imaging applications.

Electronic imaging technologies are faced with the challenge of power consumption when transmitting large amounts of image data from the acquisition imager to the display or processing devices. This is especially a concern for portable applications, and becomes more prominent in increasingly high-resolution, high-frame rate imagers. Therefore, new sampling techniques are needed to minimize transmitted data, while maximizing the conveyed image information. <br /><br /> From this point of view, two approaches have been proposed and implemented in this thesis: <ol> <li> A system-level approach, in which the classical 1D row sampling CMOS imager is modified to a 2D ring sampling pyramidal architecture, using the same standard three transistor (3T) active pixel sensor (APS). </li> <li> A device-level approach, in which the classical orthogonal architecture has been preserved while altering the APS device structure, to design an expandable multiresolution image sensor. </li> </ol> A new scanning scheme has been suggested for the pyramidal image sensor, resulting in an intrascene foveated dynamic range (FDR) similar in profile to that of the human eye. In this scheme, the inner rings of the imager have a higher dynamic range than the outer rings. The pyramidal imager transmits the sampled image through 8 parallel output channels, allowing higher frame rates. The human eye is known to have less sensitivity to oblique contrast. Using this fact on the typical oblique distribution of fixed pattern noise, we demonstrate lower perception of this noise than the orthogonal FPN distribution of classical CMOS imagers. <br /><br /> The multiresolution image sensor principle is based on averaging regions of low interest from frame-sampled image kernels. One pixel is read from each kernel while keeping pixels in the region of interest at their high resolution. This significantly reduces the transferred data and increases the frame rate. Such architecture allows for programmability and expandability of multiresolution imaging applications.