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Confocal microscopy is the microscopic procedure of choice for examining neuron structures as it produces sharp images with improved resolution and decreased signal-to-noise ratio. The specific way this microscopy works allows one to look at one confocal plane at a time, which is optimal when viewing neuronal structures.
Digital reconstruction or tracing of neuron morphology is a fundamental task in computational neuroscience. [1] [2] [3] It is also critical for mapping neuronal circuits based on advanced microscope images, usually based on light microscopy (e.g. laser scanning microscopy, bright field imaging) or electron microscopy or other methods. Due to ...
Images (3D, 4D) Various No Neuroelectro.org Electrophysiology of neurons Human, others Neuron Electrophysiological properties and data Healthy No [33] Neuromorpho.org 3D models of real neurons Human, rat, mouse, monkey, others Neuron Images and 3D data Healthy No [34] Neuromorphometrics.com: Manually labeled MRI Brain Scans Human Macroscopic
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The response of whole neuron model i.e. soma and dendrites, can be written in closed form. The response of the spatially extended model to periodic forcing is described by stroboscopic map. A Arnol'd tongue quasi-active model can be constructed with a linear stability analysis of the map with carefully treating the non-differentiability of soma ...
The resulting model had more than 140,000 neurons with over 50 million synapses. [21] From the model, research expect to identify how the brain creates new connections for functions such as vision, creating digital twin equivalents to track how segments of the neuron connection map interact to external signals, including the nervous system. [22]
The soma of a neuron (i.e., the main part of the neuron in which the dendrites branch off of) contains many organelles, including granules called Nissl granules, which are composed largely of rough endoplasmic reticulum and free polyribosomes. [5] The cell nucleus is a key feature of the soma.
A brainbow of mouse neurons from Smith, 2007. Brainbow was initially developed by Jeff W. Lichtman and Joshua R. Sanes at Washington University in St. Louis. [1] The team constructed Brainbow using a two-step process: first, a specific genetic construct was generated that could be recombined in multiple arrangements to produce one of either three or four colors based on the particular ...
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