Here, we report that different types of deep neural network modules may well process different kinds of features and that the integration of these submodules will show power on the representation and classification of neuron types. For SWC-format data, which are compressed but unstructured, we ...
The primary sensory system requires the integrated function of multiple cell types, although its full complexity remains unclear. We used comprehensive transcriptome analysis of 622 single mouse neurons to classify them in an unbiased manner, independent of any a priori knowledge of sensory subtypes. ...
the classification of neurones, it is proposed, is to base the classification on as many features of the cells as possible, and to regard the classification as an hypothesis, subject to testing and modification by experience, about the "functional niches" occupied by the cell types distinguished...
It is important to additionally note that neuronal classification can vary based on transcriptomics, physiology and other factors (detailed information on approximately 200 different cell types can be found at http://celltypplymouthes.brain-map.org). The spatial expression and the characteristics of ...
The neurotransmitter travels rapidly across the short gap between cells (the synapse) and acts to signal the adjacent cell. Functions and Classification Communication by neurons can be divided into four major steps. First, a neuron receives information from the external environment or from other ...
Neurotransmitter | Function, Types & Examples from Chapter 2 / Lesson 3 131K Define neurons and neurotransmitters. Learn the function and examples of neurotransmitters. Also learn about the types and classification of neurotransmitters. Related to this QuestionHow...
In these investigations, special attention was paid to cytoplasmic and nuclear characteristics in order to elucidate the ratio of GCR-/I-neurons (13:1) and the internal dLGN topography. It is still discussed if the described cytological features can be taken as basis for the classification of ...
The result shows that these types of hybrid neural network have a capability for flexible time-delay classification so as to extend the computational capability of BP neural network and provide a new type of classifying method. The proposed neural network can be generalized to other time-delay ...
Unbiased classification of sensory neuron types by large-scale single-cell RNA sequencing. Nat Neurosci 2015; 18:145–153. Article CAS Google Scholar Langfelder P, Horvath S . WGCNA: an R package for weighted correlation network analysis. BMC Bioinformatics 2008; 9:559. Article Google Scholar ...
To exploit this knowledge base, researchers relate a connectome’s structure to neuronal function, often by studying individual neuron cell types. Vast libraries of fly driver lines expressing fluorescent reporter genes in sets of neurons have been created and imaged using confocal light microscopy (...