375 research outputs found
Circuits for active vision : parallel tectothalamocortical visual pathways in the mouse.
Vision is a critical sensation for the interaction between humans and their surrounding environment. The eyes connect with the brain via retinal ganglion cell axons, which transmit visual sensory information from the periphery into the central nervous system for further processing, eventually leading to visual perception and the visual guidance of movement. Two main targets of retinal axons are the superior colliculus (SC) and the dorsal thalamus. From the SC, visual information is conveyed to the dorsal thalamus, and from the dorsal thalamus visual information is conveyed to the cortex, striatum and amygdala. This dissertation is focused on the functional properties of two parallel pathways from the SC to the dorsal thalamus: a pathway from the SC to the retinorecipient dorsolateral geniculate nucleus (dLGN) to the cortex, and a pathway from the SC to the pulvinar nucleus to the cortex. The experiments described in this dissertation used viral vector injections, tract tracing, in vitro whole cell patch clamp, optogenetics, electron and confocal microscopy, transgenic mouse lines and immunohistochemical staining techniques to elucidate the roles of the SC-dLGN-cortex pathway and SC-pulvinar-cortex pathway in visual coding. The first series of experiments revealed that SC and retinal inputs converge to innervate the proximal dendrites of cells in the dorsolateral shell of the dLGN that project to layer I of the striate cortex. The second series of experiments revealed the organization of subdivisions of the pulvinar nucleus in relation to inputs from the SC. The final series of experiments revealed the distribution and ultrastructure of pulvinocortical terminals, and identified the cell types activated by pulvinocortical synapses. Major targets of pulvinocortical terminals were identified as corticostriatal cells, suggesting that pulvinar acts as a hub connecting the SC, cortex and striatum
COMPUTATIONAL MODELING OF MULITSENSORY PROCESSING USING NETWORK OF SPIKING NEURONS
Multisensory processing in the brain underlies a wide variety of perceptual phenomena, but little is known about the underlying mechanisms of how multisensory neurons are generated and how the neurons integrate sensory information from environmental events. This lack of knowledge is due to the difficulty of biological experiments to manipulate and test the characteristics of multisensory processing. By using a computational model of multisensory processing this research seeks to provide insight into the mechanisms of multisensory processing. From a computational perspective, modeling of brain functions involves not only the computational model itself but also the conceptual definition of the brain functions, the analysis of correspondence between the model and the brain, and the generation of new biologically plausible insights and hypotheses. In this research, the multisensory processing is conceptually defined as the effect of multisensory convergence on the generation of multisensory neurons and their integrated response products, i.e., multisensory integration. Thus, the computational model is the implementation of the multisensory convergence and the simulation of the neural processing acting upon the convergence. Next, the most important step in the modeling is analysis of how well the model represents the target, i.e., brain function. It is also related to validation of the model. One of the intuitive and powerful ways of validating the model is to apply methods standard to neuroscience for analyzing the results obtained from the model. In addition, methods such as statistical and graph-theoretical analyses are used to confirm the similarity between the model and the brain. This research takes both approaches to provide analyses from many different perspectives. Finally, the model and its simulations provide insight into multisensory processing, generating plausible hypotheses, which will need to be confirmed by real experimentation
Towards building a more complex view of the lateral geniculate nucleus: Recent advances in understanding its role
The lateral geniculate nucleus (LGN) has often been treated in the past as a linear filter that adds little to retinal processing of visual inputs. Here we review anatomical, neurophysiological, brain imaging, and modeling studies that have in recent years built up a much more complex view of LGN . These include effects related to nonlinear dendritic processing, cortical feedback, synchrony and oscillations across LGN populations, as well as involvement of LGN in higher level cognitive processing. Although recent studies have provided valuable insights into early visual processing including the role of LGN, a unified model of LGN responses to real-world objects has not yet been developed. In the light of recent data, we suggest that the role of LGN deserves more careful consideration in developing models of high-level visual processing
From locomotor behavior to cerebellum evolution and development in squamate models
Locomotor behavior, the entire set of movements an individual utilizes to modify its spatial location in time, is a crucial attribute of an organism’s life. Though not responsible for movement initiation or rhythmic locomotor pattern generation, the cerebellum, an ancient and functionally conserved feature of the vertebrate brain, plays a key role in many aspects of motor performance. Variations in its morphology, relative size and cortical organization, likely resulting from divergent developmental programs, have been observed even in closely related vertebrate species, often reflecting a tight linkage between cerebellar organization and functional demands associated with ecologically relevant factors and distinct behavioral traits.
Taking advantage of the extraordinary ecomorphological diversity of squamates (lizards and snakes) and adopting a multidisciplinary approach, this thesis explores the impact of locomotor behavior on squamate brain, particularly on different levels of cerebellar biological organization, and investigates cerebellar morphogenesis in two squamate species to gain insights on the developmental mechanisms potentially responsible for squamate cerebellar divergence.
Along with significant variations in cerebellar morphology and relative size across squamates, this thesis first highlights a wide heterogeneity in Purkinje cell (PC) spatial layout as well as in gene expression pattern, all correlating with specific locomotor behaviors, unveiling unique relationships between a major evolutionary transition and organ specialization in vertebrates. At the developmental level, the thesis indicates that developmental features considered, so far, exclusive hallmarks of avian and mammalian cerebellogenesis characterize squamate cerebellar morphogenesis. Furthermore, the thesis suggests that variations in the spatiotemporal patterning of different cerebellar neurons could be, at least partially, at the base of the large phenotypic diversification of the squamate cerebellum.
Finally, this thesis reveals that squamates provide an important framework to expand our knowledge on organ system-ecology relationships and central nervous system (CNS) development and evolution in vertebrates.Eliöiden toimintaan liittyy oleellisena osana niiden kyky liikkua, eli siirtyä paikasta toiseen erilaisten ruuminosien liikkeiden avulla. Pikkuaivot (cerebellum) ovat hyvin oleellinen osa selkärankaisten liikkeen säätelyä, ja niiden toiminta onkin säilynyt peruspiirteiltään samana selkärankaisten evoluution aikana. Vaikka pikkuaivojen rooliin ei kuulu liikkeen aloittaminen tai rytmisen liikkeen tahdin säätely, niillä on huomattava rooli muussa liikkeen säätelyssä. Tähän lukeutuvat esimerkiksi liikkeiden oppiminen ja korjaaminen. Pikkuaivoissa esiintyy hyvin paljon lajien välistä vaihtelua, mikä johtuu todennäköisesti yksilönkehityksen ja sen säätelyn eroavaisuuksista eri lajeilla. Eroja on havaittavissa niin pikkuaivojen morfologiassa, suhteellisessa koossa kuin myös niiden kuorikerroksen rakenteessa, usein jopa lähisukuisten lajien välillä. Nämä eroavaisuudet heijastelevatkin usein eläinten erilaisia toiminnallisia tarpeita, liittyen varsinkin käyttäytymispiirteisiin sekä muihin niiden ekologiaan linkittyviin tekijöihin.
Suomumatelijoilla (liskoilla ja käärmeillä) on huomattava laaja kirjos erilaisia ekomorfologioita ja liikkumistapoja. Tämä väitöskirja keskittyykin selvittämään liikkumistapojen vaikutusta suomumatelijoiden aivoihin sekä yleisesti että erityisesti pikkuaivoja tarkastellen. Huomio keskittyy pikkuaivoissa sekä kokonaiskuvan muodostamiseen niiden rakenteesta että niiden yksilönkehitykseen. Yksilönkehityksen suhteen vertailussa ovat kaksi eri suomumatelijoiden edustajaa mahdollisten yksilönkehityksen muutosten mekanismien selvittämiseksi.
Väitöskirjatyössä havaittiin suomumatelijoilla merkittävää pikkuaivojen morfologian ja suhteellisen koon lajienvälistä vaihtelua. Tämän lisäksi työn aikana havaittiin huomattavia eroja pikkuaivojen niin sanottujen Purkinjen solujen järjestäytymisessä sekä eri geenien luennassa erilaista liikkumistyyppiä edustavien lajien välillä. Purkinjen solujen järjestäytymisen ja geeniluennan havaittiin myös korreloivan erilaisten liikkumistyyppien kanssa, tuoden esiin mielenkiintoisen yhteyden evolutiivisten muutosten ja elinten erikoistumisen välillä. Samoin tulokset viittaavat siihen, että linnuille ja nisäkkäille ainutlaatuisiksi luultuja pikkuaivojen muodostumisen piirteitä löytyy myös suomumatelijoilta. Väitöskirjatyössä havaittiin lisäksi viitteitä suomumatelijoiden pikkuaivojen monimuotoisuuden taustalla olevista yksilönkehityksen muutoksista. Tulosten valossa on mahdollista, että pikkuaivojen neuronien kaavoituksen ajoituksen ja sijainnin muutokset voisivat ainakin osin olla syy suomumatelijoiden pikkuaivojen monimuotoisuuteen.
Laajemmassa mielessä tulokset tuovat esiin myös suomumatelijoiden erittäin oleellisen roolin selkärankaisten evoluution tutkimuksessa kahdesta oleellisesta tulokulmasta: selkärankaisten keskushermoston yksilönkehityksen ja evoluution tutkimus sekä yleisemmällä tasolla elinsysteemien ja ekologian yhteyden selvittäminen
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Genetic dissection of circuits underlying the modular structure of the Superior Colliculus
In order to successfully interact with the environment, animals need to produce accurate movements towards specific positions in space. A crucial region of the brain that guides such goal-oriented movements is the superior colliculus (SC), an evolutionary conserved structure of the midbrain. While several lines of research in different model organisms have confirmed that the SC contributes to the initiation of orienting movements, how functionally distinct neuronal groups within the SC are organized to support the production of such motor outputs is poorly understood.
One of the reasons why the intrinsic circuit organization of the SC remains elusive is the lack of genetic characterization of the neuronal populations of the motor SC. Here, we performed RNAseq to screen for genetic markers for neuronal subpopulations in the motor SC. We identified a transcription factor, Pitx2, which is exclusively expressed in a subpopulation of glutamatergic neurons in the motor domain of the SC. Strikingly, this population of neurons displays a non-homogenous distribution within the motor layer of the SC, being organised in clusters along the mediolateral and anteroposterior axis. We mapped the pre-synaptic network and the post-synaptic targets of Pitx2ON neurons, unveiling that this modular population receives direct inputs from motor and sensory cortical regions, as well as several midbrain nuclei involved in movement control, and sends projection along the cephalomotor pathway. We then asked whether these modules may act as functional units, each integrating multimodal sensory information and encoding a specific feature of head movement, the main ethologically relevant orienting behaviour in rodents. Optogenetic activation of this modular population in freely moving animals produced a stereotyped, robust head motion characterised by a pronounced quantal nature; furthermore, the amplitude of the elicited head movement varied based on the modular unit activated. Our results suggest that distinct clusters of genetically defined neurons produce head displacement along a characteristic vector.
In conclusion, we found that a population of premotor neurons in the SC is organised in a modular conformation and we suggest that such modularity may represent a physical implementation of a discontinuous motor map for orienting movements encoded in the mouse SC. Our work complements previous observations of periodicity in SC circuitry, as well as its afferent and efferent systems. Exploiting the genetic toolkit available in the mouse, our work begins to address the functional relevance of this modularity and paves the way for future experiments to investigate principles of sensorimotor integration in SC circuits.MR
The Mechanisms and Roles of Neural Feedback Loops for Visual Processing
Feedback pathways are widely present in various sensory systems transmitting time-delayed and partly-processed information from higher to lower visual centers. Although feedback loops are abundant in visual systems, investigations focusing on the mechanisms and roles of feedback in terms of micro-circuitry and system dynamics have been largely ignored. Here, we investigate the cellular, synaptic and circuit level properties of a cholinergic isthmic neuron: Ipc) to understand the role of isthmotectal feedback loop in visual processing of red-ear turtles, Trachemys scripta elegans. Turtle isthmotectal complex contains two distinct nuclei, Ipc and Imc, which interact exclusively with the optic tectum, but are otherwise isolated from other brain areas. The cholinergic Ipc neurons receive topographic glutamatergic inputs from tectal SGP neurons and project back to upper tectal layers in a topographic manner while GABAergic Imc neurons, which also get inputs from the SGP neurons project back non-topographically to both the tectum and Ipc nucleus. We have used an isolated eye-attached whole-brain preparation for our investigations of turtle isthmotectal feedback loop. We have investigated the cellular properties of the Ipc neurons by whole-cell blind-patch recordings and found that all Ipc neurons exhibit tonic firing responses to somatic current injections that are well-modeled by a leaky integrate-and-fire neuron with spike rate adaptation. Further investigations reveal that the optic nerve stimulations generate balanced excitatory and inhibitory synaptic currents in the Ipc neurons. We have also found that synaptic connection between the Imc to Ipc neuron is inhibitory. The visual response properties of the Ipc neurons to a range of computer-generated stimuli are investigated using extracellular recordings. We have found that the Ipc neurons have a localized excitatory receptive field and show stimulus selectivity and stimulus-size tuning. We also investigate lateral interactions in the Ipc neurons in response to multiple stimuli within the visual field. Finally, we quantify the oscillatory bursts observed in Ipc responses under visual stimulations
Role of Inhibition in Binaural Processing
The medial and lateral superior olives (MSO, LSO) are the lowest order cell groups in the mammalian auditory circuit to receive massive binaural input. The MSO functions in part to encode interaural time differences (ITD), the predominant cue for localization of low frequency sounds. Binaural inputs to the MSO consist of excitatory projections from the cochlear nuclei (CN) and inhibitory projections from both the medial nucleus of the trapezoid body (MNTB) and lateral nucleus of the trapezoid body (LNTB). The interaction of excitatory and inhibitory currents within an MSO cell\u27s soma and dendrites over the backdrop of its intrinsic ionic conductances imbues ITD sensitivity to these neurons. Lloyd Jeffress proposed a coincidence detection circuit in which arrays of neurons receive sub-threshold excitatory inputs via delay lines that represent sound location as a place code of activity patterns within the cell group (Jeffress, 1948). The Jeffress place code model later found a neural instantiation in the MSO. Recent in vivo (McAlpine et al., 2001; Brand et al., 2002) studies have shown that peak discharge rates do not fall within the ecological range as the Jeffress model predicts but instead ITD is coded by changes in discharge rate. The timing of inhibition relative to excitation modulates the discharge rates of MSO cells (Brand et al., 2002; Chirila et al., 2007); however, the details of this circuit, such as the onset time of inhibition, are not well known. Although the MNTB and LNTB have been investigated in vivo and in vitro , they have not been well characterized with respect to their function in ITD processing in larger mammals. Additionally, inhibition is modulated by anesthesia and confounds in vivo experiments that examine the careful interplay of excitatory and inhibitory effects in the MSO. For this reason, these physiological experiments were performed on decerebrate unanaesthetized animals. Further investigation of the anatomical organization of inhibitory inputs was carried out as the basis for a comprehensive model of the MSO that incorporates the effects of binaural inhibiting projections to MSO neurons.;Unbiased stereological counts of the MNTB, MSO and subdivisions of the LNTB showed that the MSO and MNTB contain approximately the same number of cells. The main (m)LNTB, posteroventral (pv)LNTB and the hilus (h)LNTB are estimated to contain 3800, 1400, and 200 neurons respectively. Tonotopic organization of the MNTB and MSO show that in the low frequency area, MSO cells outnumber MNTB cells 2 to 1, suggesting a divergent innervation of the MSO from the MNTB. Injection of the retrograde tracer, biotinylated dextrane amine, in the MSO, labeled cells in the MNTB, pvLNTB and mLNTB and defines the important role that these sub-nuclei, and in particular the pvLNTB, have in ITD coding. Computational modeling of a single MSO cell suggests that when two sources of inhibition temporally frame excitation the coincidence detection window is refined and less sensitive to temporal fluctuations that otherwise might degrade ITD sensitivity. Finally, physiological properties of MNTB cells reveal a heterogeneous population of responses and less precise temporal coding than are found in their inputs, globular bushy cells
Neural Models of Subcortical Auditory Processing
An important feature of the auditory system is its ability to distinguish many simultaneous
sound sources. The primary goal of this work was to understand how a robust, preattentive
analysis of the auditory scene is accomplished by the subcortical auditory system.
Reasonably accurate modelling of the morphology and organisation of the relevant auditory
nuclei, was seen as being of great importance. The formulation of plausible models and their
subsequent simulation was found to be invaluable in elucidating biological processes and in
highlighting areas of uncertainty.
In the thesis, a review of important aspects of mammalian auditory processing is presented
and used as a basis for the subsequent modelling work. For each aspect of auditory
processing modelled, psychophysical results are described and existing models reviewed,
before the models used here are described and simulated. Auditory processes which are
modelled include the peripheral system, and the production of tonotopic maps of the
spectral content of complex acoustic stimuli, and of modulation frequency or periodicity. A
model of the formation of sequential associations between successive sounds is described,
and the model is shown to be capable of emulating a wide range of psychophysical
behaviour. The grouping of related spectral components and the development of pitch
perception is also investigated. Finally a critical assessment of the work and ideas for future
developments are presented.
The principal contributions of this work are the further development of a model for pitch
perception and the development of a novel architecture for the sequential association of
those groups. In the process of developing these ideas, further insights into subcortical
auditory processing were gained, and explanations for a number of puzzling psychophysical
characteristics suggested.Royal Naval Engineering College, Manadon, Plymout
Looking back: corticothalamic feedback and early visual processing
[Abstract] Although once regarded as a simple sensory relay on the way to the cortex, it is increasingly apparent that the thalamus has a role in the ongoing moment-by-moment processing of sensory input and in cognition. This involves extensive corticofugal feedback connections and the interplay of these with the local thalamic circuitry and the other converging inputs. Here, using the feline visual system as the primary model, some of the latest developments in this field are reviewed and placed in the perspective of an integrated view of system function. Cortical feedback mediated by ionotropic and metabotropic glutamate receptors, and effects mediated by the neuromodulator nitric oxide, all have a role in integrating the thalamic mechanism into the cortical circuit. The essential point is that the perspective of higher-level sensory mechanisms shifts and modulates the thalamic circuitry in ways that optimize abstraction of a meaningful representation of the external world. This review is part of the TINS special issue on The Neural Substrates of Cognition.Ministerio de Ciencia y TecnologĂa; BFI2002–320
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