Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Large-scale nerve network 3D visualization method

A neural network and multi-layer neural network technology, applied in the field of 3D visualization of large-scale bionic neural network, can solve the problems of large-scale neuron links, complex information flow transmission, etc., and achieve the effect of ensuring calculation and display speed

Active Publication Date: 2017-02-01
COMMUNICATION UNIVERSITY OF CHINA
View PDF7 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, the link scale of neurons is very large, and the conduction of information flow is very complicated.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Large-scale nerve network 3D visualization method
  • Large-scale nerve network 3D visualization method
  • Large-scale nerve network 3D visualization method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0025] The technical solutions of the present invention will be described in detail below in conjunction with the drawings and specific embodiments of the present invention.

[0026] figure 1 It is a schematic diagram of the 3D visualization structure of a large-scale neural network, which is divided into upper and lower parts. The upper part is the 3D display part, which decomposes the entire neural network into multi-layer representations ( figure 2 ); it can display the connection between layers in real time ( image 3 ); the connection between neurons ( Figure 4 ); You can choose a neuron to observe its pulse activity ( Figure 5 and Figure 6 ). The lower part is the 2D auxiliary display of the specific layer.

[0027] figure 2 It is a schematic diagram of a 3D representation of a multi-layer neural network, which decomposes a large-scale neural network into a multi-layer neural network for representation. When simulating a large-scale neural network, the prese...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention provides a large-scale nerve network 3D visualization method and relates to the field of analogue simulation of a large-scale nerve network. The large-scale nerve network is decomposed into multiple layers of nerve networks; link relation between the layers is expressed through 3D curves with arrows, and all link curves are not overlapped; link between different layers of neurons is in one-to-many stereoscopic display, and 3D dynamical representation can be carried out; and pulse activities of all neurons can realize complete dynamic display in a 3D space. A brain is a hypercomplex 3D network body formed by a lot of nerve cells through links; the link scale of the neurons is very huge, and conduction of information stream is very complex; and the method solves the technical problem of visualization in analogue simulation of the large-scale nerve network.

Description

technical field [0001] The invention relates to the simulation field of large-scale neural networks, in particular to the 3D visualization of large-scale bionic neural networks. Background technique [0002] The simulation technology of large-scale neural network is one of the important technologies in the research field of brain science and brain-inspired artificial intelligence. The brain is an ultra-complex 3D network composed of a large number of nerve cells connected through links. Most of the nerve cells in the brain have the characteristics of pulse emission, which is also the basis of brain activity. When the brain is processing information, it needs to carry out information transmission of local neurons as well as cross-layer and cross-regional transmission; it must realize both bottom-up information processing and top-down control and regulation. There are a large number of neurons in the brain, and each neuron may be connected to multiple neurons through synapses...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/04
CPCG06N3/04
Inventor 曹立宏
Owner COMMUNICATION UNIVERSITY OF CHINA
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com