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Balance-Controlling Mechanism and Fall-Prevention Strategy
  • Language: en
  • Pages: 102
The Computing Dendrite
  • Language: en
  • Pages: 519

The Computing Dendrite

Neuronal dendritic trees are complex structures that endow the cell with powerful computing capabilities and allow for high neural interconnectivity. Studying the function of dendritic structures has a long tradition in theoretical neuroscience, starting with the pioneering work by Wilfrid Rall in the 1950s. Recent advances in experimental techniques allow us to study dendrites with a new perspective and in greater detail. The goal of this volume is to provide a résumé of the state-of-the-art in experimental, computational, and mathematical investigations into the functions of dendrites in a variety of neural systems. The book first looks at morphological properties of dendrites and summar...

Computational Neuroscience
  • Language: en
  • Pages: 1114

Computational Neuroscience

  • Type: Book
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  • Published: 1999-07-08
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  • Publisher: Elsevier

This volume includes papers originally presented at the 7th annual Computational Neuroscience Meeting (CNS'98) held in July of 1998 at the Fess Parker Doubletree Inn in Santa Barbara, California. The CNS meetings bring together computational neuroscientists representing many different fields and backgrounds as well as many different experimental preparations and theoretical approaches. The papers published here range from pure experimental neurobiology, to neuro-ethology, mathematics, physics, and engineering. In all cases the research described is focused on understanding how nervous systems compute. The actual subjects of the research include a highly diverse number of preparations, modeling approaches, and analysis techniques. Accordingly, this volume reflects the breadth and depth of current research in computational neuroscience taking place throughout the world.

Towards an Integrated Approach to Measurement, Analysis and Modeling of Cortical Networks
  • Language: en
  • Pages: 266

Towards an Integrated Approach to Measurement, Analysis and Modeling of Cortical Networks

The amount of data being produced by neuroscientists is increasing rapidly, driven by advances in neuroimaging and recording techniques spanning multiple scales of resolution. The availability of such data poses significant challenges for their processing and interpretation. To gain a deeper understanding of the surrounding issues, the Editors of this e-Book reached out to an interdisciplinary community, and formed the Cortical Networks Working Group, and the genesis of this e-Book thus began with the formation of this Working Group, which was supported by the National Institute for Mathematical and Biological Synthesis in the USA. The Group consisted of scientists from neuroscience, physics...

Practicing Food Studies
  • Language: en
  • Pages: 256

Practicing Food Studies

  • Type: Book
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  • Published: 2024-03-26
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  • Publisher: NYU Press

An introduction to the burgeoning field of food studies Popular and intellectual interest in food is on the rise. The breadth of concerns surrounding food ranges from animal welfare and climate change’s impact on food production to debates on the healthfulness of carbohydrates and fats, and fair compensation for restaurant and farm workers. Not only is there an expanding conversation about the ways in which we produce and consume our food, but there is growing attention being placed on the myriad ways in which food expresses and shapes shifting identities. Practicing Food Studies details the turn of the twenty-first century development and flourishing of food studies as a multidisciplinary...

Computational Neuroscience
  • Language: en
  • Pages: 897

Computational Neuroscience

This volume includes papers presented at the Fifth Annual Computational Neurosci ence meeting (CNS*96) held in Boston, Massachusetts, July 14 - 17, 1996. This collection includes 148 of the 234 papers presented at the meeting. Acceptance for mceting presenta tion was based on the peer review of preliminary papers originally submitted in May of 1996. The papers in this volume represent final versions of this work submitted in January of 1997. As represented by this volume, computational neuroscience continues to expand in quality, size and breadth of focus as increasing numbers of neuroscientists are taking a computational approach to understanding nervous system function. Defining computa tional neuroscience as the exploration of how brains compute, it is clear that there is al most no subject or area of modern neuroscience research that is not appropriate for computational studies. The CNS meetings as well as this volume reflect this scope and di versity.

Reproducibility and Rigour in Computational Neuroscience
  • Language: en
  • Pages: 279
Intelligent Data Engineering and Automated Learning -- IDEAL 2012
  • Language: en
  • Pages: 882

Intelligent Data Engineering and Automated Learning -- IDEAL 2012

  • Type: Book
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  • Published: 2012-08-01
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  • Publisher: Springer

This book constitutes the refereed proceedings of the 13th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2012, held in Natal, Brazil, in August 2012. The 100 revised full papers presented were carefully reviewed and selected from more than 200 submissions for inclusion in the book and present the latest theoretical advances and real-world applications in computational intelligence.

Recent Advances and the Future Generation of Neuroinformatics Infrastructure
  • Language: en
  • Pages: 390

Recent Advances and the Future Generation of Neuroinformatics Infrastructure

The huge volume of multi-modal neuroimaging data across different neuroscience communities has posed a daunting challenge to traditional methods of data sharing, data archiving, data processing and data analysis. Neuroinformatics plays a crucial role in creating advanced methodologies and tools for the handling of varied and heterogeneous datasets in order to better understand the structure and function of the brain. These tools and methodologies not only enhance data collection, analysis, integration, interpretation, modeling, and dissemination of data, but also promote data sharing and collaboration. This Neuroinformatics Research Topic aims to summarize the state-of-art of the current ach...

Trends in Biomathematics: Modeling Epidemiological, Neuronal, and Social Dynamics
  • Language: en
  • Pages: 394

Trends in Biomathematics: Modeling Epidemiological, Neuronal, and Social Dynamics

This volume gathers together selected peer-reviewed works presented at the BIOMAT 2022 International Symposium, which was virtually held on November 7-11, 2022, with an organization staff based in Rio de Janeiro, Brazil. Topics touched on in this volume include infection spread in a population described by an agent-based approach; the study of gene essentiality via network-based computational modeling; stochastic models of neuronal dynamics; and the modeling of a statistical distribution of amino acids in protein domain families. The reader will also find texts in epidemic models with dynamic social distancing; with no vertical transmission; and with general incidence rates. Aspects of COVID...