Relevant bibliographies by topics / Neuronal Tree

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Neuronal Tree'

Author: Grafiati
Published: 4 June 2021
Last updated: 2 February 2022

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Journal articles on the topic "Neuronal Tree"

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FEDOR, PETER. "PRINCIPLES OF THE DESIGN OF D-NEURONAL NETWORKS II: COMPOSING SIMPLE MELODIES." International Journal of Neural Systems 03, no. 01 (1992): 75–82. http://dx.doi.org/10.1142/s0129065792000085.

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Digital computer simulation of the prediction trees introduced in Part I of this series is performed. We define the simplest prediction tree arrangements for the analysis and composition of diatonic single-lined melodies. A measure of surprise is defined as the weighted sum of the outputs of the tree surprise-evaluating units. The melody composing process is then considered as an optimization task, the goal of which is to find the tone sequences elicited in trees of as great a mean level of surprise as possible.
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Haslinger, Robert, Gordon Pipa, Laura D. Lewis, Danko Nikolić, Ziv Williams, and Emery Brown. "Encoding Through Patterns: Regression Tree–Based Neuronal Population Models." Neural Computation 25, no. 8 (2013): 1953–93. http://dx.doi.org/10.1162/neco_a_00464.

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Although the existence of correlated spiking between neurons in a population is well known, the role such correlations play in encoding stimuli is not. We address this question by constructing pattern-based encoding models that describe how time-varying stimulus drive modulates the expression probabilities of population-wide spike patterns. The challenge is that large populations may express an astronomical number of unique patterns, and so fitting a unique encoding model for each individual pattern is not feasible. We avoid this combinatorial problem using a dimensionality-reduction approach
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VAN PELT, JAAP, and ANDREAS SCHIERWAGEN. "IMPACT OF TOPOLOGICAL VARIABILITY ON DENDRITIC GEOMETRY." Journal of Biological Systems 03, no. 04 (1995): 1201–10. http://dx.doi.org/10.1142/s0218339095001088.

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The development of neuronal branching patterns mainly proceeds by branching events at terminal segments. The randomness in the occurrences of these events is the major cause of the variability that is observed in the final topological structures of neuronal trees. A general observation in neuronal trees is the existence of a branch power relation between the diameters of the segments at branch points. Because of this correlation, total area and volume will become dependent on branching pattern topology. A quantitative assessment of this finding is given. How topological variation propagates in
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Berger, Scott B., and Lewis W. Tucker. "Binary tree representation of three-dimensional, reconstructed neuronal trees: a simple, efficient algorithm." Computer Methods and Programs in Biomedicine 23, no. 3 (1986): 231–35. http://dx.doi.org/10.1016/0169-2607(86)90055-6.

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FEDOR, PETER. "PRINCIPLES OF THE DESIGN OF D-NEURONAL NETWORKS I: NET REPRESENTATION FOR COMPUTER SIMULATION OF A MELODY COMPOSITIONAL PROCESS." International Journal of Neural Systems 03, no. 01 (1992): 65–73. http://dx.doi.org/10.1142/s0129065792000073.

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We present a deterministic neural network model for the processing of temporal sequences of tones. Several types of model neural units are defined in a form suitable for the digital computer simulation of their nets. On the basis of the proposed units, we set up prediction trees which serve for recognition and prediction of pitches that emerge in single-lined diatonic melodies. The prediction tree also evaluates the surprise evoked by a processed melody in regard to the pitch sequences currently memorized in this tree.
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Li, Yanjie, Dingkang Wang, Giorgio A. Ascoli, Partha Mitra, and Yusu Wang. "Metrics for comparing neuronal tree shapes based on persistent homology." PLOS ONE 12, no. 8 (2017): e0182184. http://dx.doi.org/10.1371/journal.pone.0182184.

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Heumann, Holger, and Gabriel Wittum. "The Tree-Edit-Distance, a Measure for Quantifying Neuronal Morphology." Neuroinformatics 7, no. 3 (2009): 179–90. http://dx.doi.org/10.1007/s12021-009-9051-4.

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Gillette, Todd A., and John J. Grefenstette. "On Comparing Neuronal Morphologies with the Constrained Tree-edit-distance." Neuroinformatics 7, no. 3 (2009): 191–94. http://dx.doi.org/10.1007/s12021-009-9053-2.

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Merchant, Hugo, Alexandra Battaglia-Mayer, and Apostolos P. Georgopoulos. "Functional Organization of Parietal Neuronal Responses to Optic-Flow Stimuli." Journal of Neurophysiology 90, no. 2 (2003): 675–82. http://dx.doi.org/10.1152/jn.00331.2003.

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We analyzed the dissimilarity matrix of neuronal responses to moving visual stimuli using tree clustering and multidimensional scaling (MDS). Single-cell activity was recorded in area 7a while random dots moving coherently in eight different kinds of motion (right-, left-, up-, and downward, clockwise, counterclockwise, expansion, contraction) were presented to behaving monkeys with eyes fixated. Tree clustering analyses showed that the {rightward, leftward}, {upward, downward}, and {clockwise, counterclockwise]} motions were clustered in three separate branches (i.e., horizontal, vertical, an
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Narayanan, Rishikesh, Anusha Narayan, and Sumantra Chattarji. "A Probabilistic Framework for Region-Specific Remodeling of Dendrites in Three-Dimensional Neuronal Reconstructions." Neural Computation 17, no. 1 (2005): 75–96. http://dx.doi.org/10.1162/0899766052530811.

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Dendritic arborization is an important determinant of single-neuron function as well as the circuitry among neurons. Dendritic trees undergo remodeling during development, aging, and many pathological conditions, with many of the morphological changes being confined to certain regions of the dendritic tree. In order to analyze the functional consequences of such region-specific dendritic remodeling, it is essential to develop techniques that can systematically manipulate three-dimensional reconstructions of neurons. Hence, in this study, we develop an algorithm that uses statistics from precis
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Dissertations / Theses on the topic "Neuronal Tree"

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Adamsson, Marcus, and Aleksandar Vorkapic. "A comparison study of Kd-tree, Vp-tree and Octree for storing neuronal morphology data with respect to performance." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-187026.

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In this thesis we investigated performance of Kdtree, Vptree and Octree for storing neuronal morphology data. Two naive list structures were implemented to compare with the space partition data structures. The performance was measured with different sizes of neuronal networks and different types of test cases. A comparison with focus on cache misses, average search time and memory usage was made. Furthermore, measurements gathered quantitative data about each data structure. The results showed significant difference in performance of each data structure. It was concluded that Vptree is more su
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Rodriguez, Azrielex Andres Arias. "Modelagem estocástica de sequências de disparos de um conjunto de neurônios." Universidade de São Paulo, 2013. http://www.teses.usp.br/teses/disponiveis/45/45133/tde-09012014-000601/.

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O presente trabalho constitui um primeiro esforço por modelar disparos de neurônios usando cadeias estocásticas de memória de alcance variável. Esses modelos foram introduzidos por Rissanen (1983). A ideia principal deste tipo de modelos consiste em que a definição probabilística de cada símbolo depende somente de uma porção finita do passado e o comprimento dela é função do passado mesmo, tal porção foi chamada de \"contexto\" e o conjunto de contextos pode ser representado através de uma árvore. No passado vários métodos de estimação foram propostos, nos quais é necessário especificar alguma
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Suarez, Jose. "Data-true characterization of neuronal models." Master's thesis, University of Central Florida, 2011. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/5059.

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In this thesis, a weighted least squares approach is initially presented to estimate the parameters of an adaptive quadratic neuronal model. By casting the discontinuities in the state variables at the spiking instants as an impulse train driving the system dynamics, the neuronal output is represented as a linearly parameterized model that depends on filtered versions of the input current and the output voltage at the cell membrane. A prediction error-based weighted least squares method is formulated for the model. This method allows for rapid estimation of model parameters under a persistentl
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Šuminaite, Daumante. "Elucidating the reversibility of ataxia." Thesis, University of Edinburgh, 2017. http://hdl.handle.net/1842/28911.

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Heterozygous and recently identified homozygous mutations in the SPTBN2 gene, encoding b-III spectrin, are implicated in spinocerebellar ataxia type 5 (SCA5) and spectrin-associated autosomal recessive cerebellar ataxia type 1 (SPARCA1), respectively. Our mouse model, lacking b-III spectrin (KO), mimics the progressive human phenotype displaying motor deficiencies as well as reduced Purkinje cell firing frequency followed by dendritic tree degeneration and cell death. The aims of this study were to evaluate progression of Purkinje cell degeneration following loss of b-III spectrin function and
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Brask, Anton, and Filip Berendt. "Analyzing the scalability of R*-tree regarding the neuron touch detection task." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-279973.

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A common task within research of neuronal morphology is neuron touch detection, that is finding the points in space where two neurites approach each other to form a synapse. In order to make efficient use of cache memory, it is important to store points that are close in space close in memory. One data structure that aims to tackle this complication is the R*-tree. In this thesis, a spatial query for touch detection was implemented and the scalability of the R*-tree was estimated on realistic neuron densities and extrapolated to explore execution times on larger volumes. It was found that touc
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Xue, Cheng [Verfasser], Stefan [Akademischer Betreuer] [Gutachter] Treue, and Fred [Gutachter] Wolf. "Neuronal representation and attentional modulation of space and feature information in primate vision / Cheng Xue ; Gutachter: Stefan Treue, Fred Wolf ; Betreuer: Stefan Treue." Göttingen : Niedersächsische Staats- und Universitätsbibliothek Göttingen, 2017. http://d-nb.info/114200161X/34.

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Maamoun, Amr [Verfasser], Stefan [Akademischer Betreuer] Treue, Stefan [Gutachter] Treue, and Melanie [Gutachter] Wilke. "Receptive Field Characterization in MSTd Neurons / Amr Maamoun ; Gutachter: Stefan Treue, Melanie Wilke ; Betreuer: Stefan Treue." Göttingen : Niedersächsische Staats- und Universitätsbibliothek Göttingen, 2018. http://d-nb.info/1173974954/34.

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Smith, Robin Lee. "Fault tree analysis and diagnostics development for PI-in-a-box with neurolab sleep and respiration experiment." Thesis, Massachusetts Institute of Technology, 1997. http://hdl.handle.net/1721.1/46469.

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Bórquez, Ramírez Pedro, and Ramos Jorge Villanueva. "Predicción de signo a tres semanas de la acción caterpillar con redes neuronales." Tesis, Universidad de Chile, 2006. http://repositorio.uchile.cl/handle/2250/141061.

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Westlin, Carolina, and Andreas Mårtensson. "An estimation of scalability when using a k-d tree as the data structure for neuron touch detection." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-229789.

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To deepen our understanding of the brain and its function, a lot of effort has been put into the subject of whole brain simulation. One prerequisite problem that needs to be solved, in order to do these simulations, involves finding synapse connections between neurons to figure out the pathway of signals in the brain. Since the amount of data needed to represent a brain is quite large, consideration need to be put into the efficiency of the method of finding these connections. An algorithm using a k-d tree as a base was produced and benchmarked in order to estimate the scale of this issue. Whi
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Books on the topic "Neuronal Tree"

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René, Weber. Prognosemodelle zur Vorhersage der Fernsehnutzung: Neuronale Netze, Tree-Modelle und klassische Statistik im Vergleich. R. Fischer, 2000.

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Koch, Christof. Biophysics of Computation. Oxford University Press, 1998. http://dx.doi.org/10.1093/oso/9780195104912.001.0001.

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Neural network research often builds on the fiction that neurons are simple linear threshold units, completely neglecting the highly dynamic and complex nature of synapses, dendrites, and voltage-dependent ionic currents. Biophysics of Computation: Information Processing in Single Neurons challenges this notion, using richly detailed experimental and theoretical findings from cellular biophysics to explain the repertoire of computational functions available to single neurons. The author shows how individual nerve cells can multiply, integrate, or delay synaptic inputs and how information can b
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Ehrlich, Benjamin. Cajal’s Legacy. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780190619619.003.0001.

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This chapter looks into the legacy of Santiago Ramón y Cajal. Historians rank Cajal alongside more recognizable names such as Darwin and Pasteur among the greatest biologists of the nineteenth century and Copernicus, Galileo, and Isaac Newton among the greatest scientists of all time. In his final testament to the neuron theory, Neuron Theory or Reticular Theory? Cajal reported to have seen more than a million neurons. Cajal’s drawings of these neurons are much like portraits. “Only true artists are attracted to science,” he once said. Although the majority of his work concerns the nervous sys
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Eisen, Andrew. Motor neurone disease. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199658602.003.0009.

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In this chapter, the following ten key events in motor neurone disease, also known as amyotrophic lateral sclerosis (ALS), are considered: the first description of ALS by Cruveilhier; discovery of the first SOD1 mutation; use of the ALSFRS (functional rating scale) for determining therapeutic trial outcomes; the contentious issue of establishing the site of onset of ALS; clinical, pathological, and molecular evidence indicating that frontotemporal dementia and ALS are closely related; demonstration that ALS bears some resemblance to the transmissible spongiform encephalopathies; use of Riluzol
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Gorman, Jack M. Sadness and Depression. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190850128.003.0004.

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Two cellular processes are affected by stressful life events: dendritic remodeling and neurogenesis. Dendritic remodeling occurs when dendrites—projections from neurons that receive signals from the axons of other neurons—either grow or retract. Stress causes retraction of dendrites and disrupts brain connections. This may occur when people are depressed and is responsible for the inability of the logical brain to communicate with the emotional brain. Psychotherapy and antidepressant medications may both cause the dendritic tree to grow and restore connections. Neurogenesis is the creation of
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Anderson, James A. The Brain Works by Logic. Oxford University Press, 2018. http://dx.doi.org/10.1093/acprof:oso/9780199357789.003.0007.

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Brains and computers were twins separated at birth. In 1943, it was known that action potentials were all or none, approximating TRUE or FALSE. In that year, Walter Pitts and Warren McCulloch wrote a paper suggesting that neurons were computing logic functions and that networks of such neurons could compute any finite logic function. This was a bold and exciting large-scale theory of brain function. Around the same time, the first digital computer, the ENIAC, was being built. The McCulloch-Pitts work was well known to the scientists building ENIAC. The connection between them appeared explicit
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Gallistel, C. Randy. The Neurobiological Bases for the Computational Theory of Mind. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190464783.003.0013.

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The language of thought hypothesis is one of Fodor’s seminal contributions to cognitive science. Prominent among the objections to it has been the argument that there is no neurobiological evidence for materially realized symbols in the brain. If memory is materially realized by enduring alterations in synaptic conductances, then this is true, because the synaptic-conductance hypothesis is simply the ancient associative learning hypothesis couched in neurobiological language. Associations are not symbols and cannot readily be made to function as such, thus neurobiologists are unable to say how
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Vincent, Nicole A., Thomas Nadelhoffer, and Allan McCay, eds. Neurointerventions and the Law. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780190651145.001.0001.

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This volume makes a contribution to the field of neurolaw by investigating issues raised by the development, use, and regulation of neurointerventions. The broad range of topics covered in these chapters reflects neurolaw’s growing social import, and its rapid expansion as an academic field of inquiry. Some authors investigate the criminal justice system’s use of neurointerventions to make accused defendants fit for trial, to help reform convicted offenders, or to make condemned inmates sane enough for execution, while others interrogate the use, regulation, and social impact of cognitive enha
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Jara Orellana,, Claudia. Efectos de la proteína Tau sobre la disfunción mitocondrial y el deterioro cognitivo en el envejecimiento. Universidad Autónoma de Chile, 2018. http://dx.doi.org/10.32457/20.500.12728/87452018dcbm6.

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El envejecimiento es un proceso complejo e irreversible que afecta el funcionamiento del cerebro y se considera el principal factor de riesgo para las patologías neurodegenerativas. Las mitocondrias son organelos fundamentales para la generación de energía, el equilibrio oxidativo y la regulación del calcio. Actualmente, se considera a la disfunción mitocondrial como un factor importante que contribuye al envejecimiento cerebral y a la patogénesis de diversas enfermedades neurodegenerativas. Este daño mitocondrial se ve reflejado en una disminución del metabolismo cerebral, aumentando el daño
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Book chapters on the topic "Neuronal Tree"

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Braitenberg, Valentino, and Almut Schüz. "Length of the Dendritic Trees." In Cortex: Statistics and Geometry of Neuronal Connectivity. Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-662-03733-1_18.

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Cuntz, Hermann. "TREES Toolbox: Code for Neuronal Branching." In Encyclopedia of Computational Neuroscience. Springer New York, 2015. http://dx.doi.org/10.1007/978-1-4614-6675-8_793.

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Cuntz, Hermann. "The TREES Toolbox – Code for Neuronal Branching." In Encyclopedia of Computational Neuroscience. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-7320-6_793-2.

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Heinz, Alois P. "Yes,Trees May Have Neurons." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-36477-3_13.

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Heppelmann, B., K. Meßlinger, W. F. Neiss, and R. F. Schmidt. "The Sensory Terminal Tree of “Free Nerve Endings” in the Articular Capsule of the Knee." In The Primary Afferent Neuron. Springer US, 1990. http://dx.doi.org/10.1007/978-1-4613-0579-8_7.

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Hao, Ming, Jian Yang, Xiaoyang Liu, Zhijiang Wan, and Ning Zhong. "Fast Marching Spanning Tree: An Automatic Neuron Reconstruction Method." In Brain Informatics and Health. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47103-7_6.

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Ascoli, Giorgio. "Architects or Botanists? The Relevance of (Neuronal) Trees to Model Cognition." In Biologically Inspired Cognitive Architectures 2012. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-34274-5_3.

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Villegas, Raimundo, Cecilia Castillo, and Gloria M. Villegas. "The Origin of the Neuron: The First Neuron in the Phylogenetic Tree of Life." In Astrobiology. Springer Netherlands, 2000. http://dx.doi.org/10.1007/978-94-011-4313-4_15.

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Capowski, Joseph J. "Semiautomatic Entry of Neuron Trees from the Microscope." In Computer Techniques in Neuroanatomy. Springer US, 1989. http://dx.doi.org/10.1007/978-1-4684-5691-2_5.

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Wan, Zhijiang, Yishan He, Ming Hao, Jian Yang, and Ning Zhong. "An Automatic Neuron Tracing Method Based on Mean Shift and Minimum Spanning Tree." In Brain Informatics and Health. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47103-7_4.

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Conference papers on the topic "Neuronal Tree"

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Zhou, Hang, Shiwei Li, Ning Li, et al. "Advanced NeuroGPS-Tree achieves brain-wide reconstruction of neuronal population." In International Conference on Photonics and Imaging in Biology and Medicine. OSA, 2017. http://dx.doi.org/10.1364/pibm.2017.t2c.4.

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Pereira, João Guilherme, Matheus de Freitas Oliveira Baffa, Fabrício Henrique Simozo, Luiz Otavio Murta Junior, and Joaquim Cezar Felipe. "On The Use of Machine Learning Algorithms to Classify Focal Cortical Dysplasia on MRI." In Simpósio Brasileiro de Computação Aplicada à Saúde. Sociedade Brasileira de Computação - SBC, 2021. http://dx.doi.org/10.5753/sbcas.2021.16063.

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Refractory epilepsy is a condition characterized by epileptic seizure occurrence which cannot be controlled with antiepileptic drugs. This condition is associated with an excessive neuronal discharge produced by a group of neurons in a certain epileptogenic zone. Focal Cortical Dysplasia (FCD), usually found in these zones, was detected as one of the main causes of refractory epilepsy. In these cases, surgical intervention is necessary to minimize or eliminate the seizure occurrences. However, surgical treatment is only indicated in cases where there is complete certainty of the FCD. In order
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Fuhl, Wolfgang, Hong Gao, and Enkelejda Kasneci. "Tiny convolution, decision tree, and binary neuronal networks for robust and real time pupil outline estimation." In ETRA '20: 2020 Symposium on Eye Tracking Research and Applications. ACM, 2020. http://dx.doi.org/10.1145/3379156.3391347.

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Quan, Tingwei, Hang Zhou, Shiwei Li, et al. "Advanced NeuroGPS-Tree achieves brain-wide reconstruction of neuronal population equal to manual reconstruction level (Conference Presentation)." In Neural Imaging and Sensing 2018, edited by Qingming Luo and Jun Ding. SPIE, 2018. http://dx.doi.org/10.1117/12.2295110.

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Huang, Wenwen, and Nianli Liu. "Neuron identification by classification tree and particle swarm optimization." In 2012 2nd International Conference on Consumer Electronics, Communications and Networks (CECNet). IEEE, 2012. http://dx.doi.org/10.1109/cecnet.2012.6201506.

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Lefort, Riwal, and Francois Fleuret. "A tree-based distance between distributions: Application to classification of neurons." In ICASSP 2012 - 2012 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE, 2012. http://dx.doi.org/10.1109/icassp.2012.6288358.

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Xiao, Zhenpeng, Xia Liu, Hua Han, Qiwei Xie, and Lijun Shen. "Watershed learning merge tree used for segmenting neurons in SEM images." In 2017 IEEE International Conference on Mechatronics and Automation (ICMA). IEEE, 2017. http://dx.doi.org/10.1109/icma.2017.8016062.

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Zhang, Yian. "Latent Tree Learning with Ordered Neurons: What Parses Does It Produce?" In Proceedings of the Third BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP. Association for Computational Linguistics, 2020. http://dx.doi.org/10.18653/v1/2020.blackboxnlp-1.11.

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Wang, Si, Wenye Liu, and Chip-Hong Chang. "Fired Neuron Rate Based Decision Tree for Detection of Adversarial Examples in DNNs." In 2020 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE, 2020. http://dx.doi.org/10.1109/iscas45731.2020.9180476.

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Rowe, Stephen T., and Kim M. Zielinski. "The Use of Visualization Techniques to Plan, Design, and Permit Pipeline Projects." In 2008 7th International Pipeline Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/ipc2008-64146.

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Because pipeline routing, design, and permitting is complex and often controversial, it is advantageous to utilize new technologies to expedite the overall process. Potential pipeline routes can be modeled in a Geographic Information System (GIS) to facilitate early identification of engineering and environmental constraints. This allows time for preliminary engineering and permitting, avoiding time-consuming and costly re-routing later on. Why take the planning, design, and permitting into a virtual world? A primary advantage of a virtual GIS model is based on the way humans process informati
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Reports on the topic "Neuronal Tree"

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Biehl, María Loreto, Raquel Fernández-Coto, and Hazel Elizondo Barboza. Menos violencia, más aprendizaje: Un análisis neurocientífico de jóvenes en Honduras. Inter-American Development Bank, 2021. http://dx.doi.org/10.18235/0003229.

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La violencia en Latinoamérica forma parte de la cotidianeidad de muchos jóvenes en edad de asistir a la secundaria. Además del efecto que esto acarrea en su rendimiento y asistencia escolar, resulta de interés conocer los efectos a nivel cerebral y las implicaciones que esto puede generar en sus funciones cognitivas. Honduras se perfila como uno de los países con los mayores índices de violencia y criminalidad no solamente a nivel Latinoamericano sino también a nivel mundial. Enmarcado en el contexto anterior, el presente documento presenta los principales hallazgos del estudio neurocientífico
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