Neural Model
Neural Model - Related Videos
08:23
In Vitro Modeling of Cancerous Neural Invasion: The Dorsal Root Ganglion Model
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Cited by 10 •
2016
This video article shows the use of the dorsal root ganglia (DRG)/cancer cell model in pancreatic ductal adenocarcinoma.
08:58
A Human Cerebral Organoid Model of Neural Cell Transplantation
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Cited by 3 •
2023
Here, we describe a protocol for the transplantation and tracking of labeled neural cells into human cerebral organoids.
10:32
Enumeration of Neural Stem Cells Using Clonal Assays
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Cited by 5 •
2016
Neural stem cells (NSCs) refer to cells which can self-renew and differentiate into the three neural lineages. Here, we describe a protocol to determine NSC frequency in a given cell population using neurosphere formation and differentiation under clonal conditions.
08:16
Intra-Operative Neural Monitoring of Thyroid Surgery in a Porcine Model
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Cited by 19 •
2019
This study aims to develop a standard protocol of intra-operative neural monitoring of thyroid surgery in a porcine model. Here, we present a protocol to demonstrate general anesthesia, to compare different types of electrodes, and to investigate the electrophysiological characteristics of the normal and injured recurrent laryngeal nerves.
06:17
Engineered 3D Silk-collagen-based Model of Polarized Neural Tissue
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Cited by 30 •
2015
Insight into the complex actions of the brain requires advanced research tools. Here we demonstrate a novel silk-collagen-based 3D engineered model of neural tissue resembling brain-like architecture. The model can be used to study neuronal network assembly, axonal guidance, cell-cell interactions and electrical activity.
FAQs
At the cellular level, a neural model can track changes in membrane potential, the electrical state of a neuron’s membrane, and represent the conditions under which an action potential occurs. This makes it possible to examine how changing neural activity unfolds over time and to connect cellular electrical events with larger patterns of signaling.
In a unit-based representation, inputs are combined through weighted connections, so different inputs can contribute unequally to the resulting signal. The model then produces an output when its activation conditions are met. This arrangement provides a way to examine how connected neurons transform incoming information into activity that can propagate through a circuit.
Models that emphasize membrane-potential changes and action potentials address cellular activity, whereas models built from integrating units emphasize input-output relationships across connected elements. Neither level replaces the other. Choosing between them depends on whether the question concerns electrical events in individual cells, information flow through circuits, or links between circuit activity and behavior.
Researchers first select a representation suited to the biological question, such as cellular electrical activity or interactions among connected units. They then use the representation to test a hypothesis or interpret observations, examining the resulting activity in relation to synaptic signaling, sensory processing, learning, or circuit dynamics. The workflow supports inference where every event cannot be measured directly.
They can help investigate how synaptic signaling shapes activity, how sensory information is processed, how learning-related changes may be represented, and how activity evolves within neural circuits. By allowing these processes to be examined in a controlled representation, the models help researchers test hypotheses and organize interpretations of experimental findings.
By linking cellular activity with circuit behavior, a neural model provides a framework for studying both normal neurological function and altered function. It can also support interpretation of experimental data and exploration of potential interventions, without requiring direct measurement of every event in the nervous system. Its value lies in testing explanatory possibilities against observed biology.