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Software tools used for visualizing biological data range from simple, standalone programs to complex, integrated systems. An emerging trend is the blurring of boundaries between the visualization of 3D structures at atomic resolution, the visualization of larger complexes by cryo-electron microscopy , and the visualization of the location of ...
Complex cells receive inputs from a number of simple cells. Their receptive field is therefore a summation and integration of the receptive fields of many input simple cells, although some input is directly received from the LGN. [4] The manner through which simple cells are able to make up complex cells is not fully understood.
Models can range from the simple to the highly complex, and can represent a mixture of experimental data and purely theoretical assumptions. The Virtual Cell can be used as a distributed application over the Internet or as a standalone application. The graphical user interface allows construction of complex models in biologically relevant terms ...
Drawing by Camillo Golgi of a hippocampus stained with the silver nitrate method Drawing of a Purkinje cell in the cerebellum cortex done by Santiago Ramón y Cajal, clearly demonstrating the power of Golgi's staining method to reveal fine detail. Golgi's method is a silver staining technique that is used to visualize nervous tissue under light ...
Some tools also support CellML, a standard used for representing physiological processes. The advantage of using standard formats is that even though a particular software application may eventually become unsupported and even unusable, the models developed by that application can be easily transferred to more modern equivalents.
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A regular CW complex is a CW complex whose gluing maps are homeomorphisms. Accordingly, the partition of X is also called a regular cellulation. A loopless graph is represented by a regular 1-dimensional CW-complex. A closed 2-cell graph embedding on a surface is a regular 2-dimensional CW-complex.
These cells were referred to as complex cells, and consisted of several orientation selective simple cells inputting into a single Complex cell. This was believed to result in a cell selective for direction and motion input. These receptive fields were called simple cell receptive fields, and were believed consist of single center-surround LGN ...