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Handbook of Neural Activity Measurement
  • Language: en
  • Pages: 493

Handbook of Neural Activity Measurement

Underlying principles of the various techniques are explained, enabling neuroscientists to extract meaningful information from their measurements.

Reproducibility and Rigour in Computational Neuroscience
  • Language: en
  • Pages: 279
Electric Brain Signals
  • Language: en
  • Pages: 403

Electric Brain Signals

Presents biophysical theory and computer code for modelling and interpreting extracellular electric and magnetic brain signals.

Dynamics of Complex Interconnected Systems: Networks and Bioprocesses
  • Language: en
  • Pages: 222

Dynamics of Complex Interconnected Systems: Networks and Bioprocesses

This book reviews the synergism between various fields of research that are confronted with networks, such as genetic and metabolic networks, social networks, the Internet and ecological systems. In many cases, the interacting networks manifest so-called emergent properties that are not possessed by any of the individual components. Knowledge gained from the study of complex non-biological systems can be applied to the intricate braided relationships that govern cellular functions.

Computational Physiology
  • Language: en
  • Pages: 120

Computational Physiology

This open access volume compiles student reports from the 2023 Simula Summer School in Computational Physiology. The reports provide an overview of some tools available to model physiology in excitable tissues across scales and scientific questions. In 2023, Simula held the ninth annual Summer School in Computational Physiology in collaboration with the University of Oslo (UiO) and the University of California, San Diego (UCSD). Each year, the course focuses on modeling excitable tissues, with a special interest in cardiac physiology and neuroscience. Group research projects conducted by graduate students from around the world result in reports addressing problems of physiological importance. Reports may not necessarily represent new scientific results; rather, they can reproduce or supplement earlier studies. Reports from seven of the summer projects are included as separate chapters. The topics represented include multiscale mechanics, electrophysiology, pharmacology, and machine learning. This is an open access book.

Machine Learning in Natural Complex Systems
  • Language: en
  • Pages: 171

Machine Learning in Natural Complex Systems

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Hippocampal Microcircuits
  • Language: en
  • Pages: 886

Hippocampal Microcircuits

  • Type: Book
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  • Published: 2019-02-04
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  • Publisher: Springer

This is the 2nd edition of a very well received and popular book that reflects the current state-of-the-art of the ongoing research avenues concerning the hippocampus and processing units bridging the gap between single cell activity, network activity and global brain function. It aims to provide a methodology to anyone interested in developing microcircuit level models of the hippocampus. The book is divided into two thematic areas: (I) Experimental background and (II) Computational analysis. In part I, leading experimental neuroscientists discuss the morphological, physiological and molecular characteristics as well as the connectivity and synaptic properties of the various cell types foun...

Neural Metabolism In Vivo
  • Language: en
  • Pages: 1168

Neural Metabolism In Vivo

From the preface: “Neural Metabolism In Vivo aims to provide a comprehensive overview of neurobiology by presenting the basic principles of up-to-date and cutting-edge technology, as well as their application in assessing the functional, morphological and metabolic aspects of the brain. Investigation of neural activity of the living brain via neurovascular coupling using multimodal imaging techniques extended our understanding of fundamental neurophysiological mechanisms, regulation of cerebral blood flow in connection to neural activity and the interplay between neurons, astrocytes and blood vessels. Constant delivery of glucose and oxygen for energy metabolism is vital for brain function...

Frontiers in neuroinformatics editor’s pick 2021
  • Language: en
  • Pages: 352

Frontiers in neuroinformatics editor’s pick 2021

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A Computational Model of Grid Cells based on a Recursive Growing Neural Gas
  • Language: en
  • Pages: 278

A Computational Model of Grid Cells based on a Recursive Growing Neural Gas

The entorhinal cortex of rat contains neurons, called "grid cells", that exhibit a very peculiar behavior. Discovered about a decade ago, the activity of these cells was found to correlate with the allocentric position of the animal by forming a regular, hexagonal lattice of firing fields across the entire environment. Due to this unusual behavior and the proximity of the entorhinal cortex to other brain regions that also contain cells with spatially correlated activity grid cells are commonly recognized as an important element of a neuronal system for navigation. Existing computational models of grid cells share this view and typically describe the behavior of grid cells as a path integrati...