Virtual digital brain construction method and system and intelligent robot control system

A construction method and digital technology, applied in the direction of instruments, sensors, artificial life, etc., can solve the problems of large differences in model prediction data, inaccurate data support, inability to popularize and use, and achieve the effect of intelligent control and accurate operation.

Active Publication Date: 2020-08-14
SHANDONG FIRST MEDICAL UNIV & SHANDONG ACADEMY OF MEDICAL SCI
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to the relatively fixed brain structure network, the structural network prediction model constructed has defects. After testing, it is found that the model prediction data is too different from the actual data to be popularized and utilized in practical applications, thus failing to provide

Method used

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  • Virtual digital brain construction method and system and intelligent robot control system
  • Virtual digital brain construction method and system and intelligent robot control system
  • Virtual digital brain construction method and system and intelligent robot control system

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Experimental program
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Embodiment 1

[0033] In the technical solutions disclosed in one or more embodiments, such as figure 1 As shown, a virtual digital brain construction method includes the following steps:

[0034] Step 1. Construct a virtual digital brain to obtain the causal connection network of brain function in resting state and task state;

[0035] Step 2. Obtain the diffusion tensor imaging data of the brain, and use the mixed fiber tract tracking method combining deterministic and probabilistic algorithms to construct a brain structural network;

[0036] Step 3. Comparing the structural network and the brain function causal connection network, deleting the causal connection that does not have a direct structural connection between the brain regions, and obtaining the causal connection network in the resting state and task state after deletion is the improved virtual digital brain;

[0037] Step 4. Taking the resting state as the baseline, obtain the activation state of the brain area stimulated by th...

Embodiment 2

[0084] This embodiment provides a virtual digital brain construction system, such as image 3 shown, including:

[0085] Brain function causal connection network construction module: configured to obtain magnetic resonance imaging data in resting state and task state, and use entropy connection to construct a virtual digital brain to obtain brain function causal connection network in resting state and task state;

[0086] Brain structure network building block: configured to acquire diffusion tensor imaging (DTI) data of the brain, using a hybrid fiber tract tracking method combining deterministic and probabilistic algorithms to construct a brain structure network;

[0087] Deletion module: configured to compare the structural network and brain function causal connection network, delete the causal connection that does not have a direct structural connection between brain regions, and obtain the causal connection network in the resting state and task state after deletion is the...

Embodiment 3

[0090] This embodiment provides an intelligent robot control system, using the final virtual digital brain obtained by a virtual digital brain construction method described in Embodiment 1 as a training model for intelligent robot control, and inputting the training data of the intelligent robot to the final The virtual digital brain generates the control model of the trained intelligent robot.

[0091] In the present disclosure, the virtual digital brain established through the combined use of functional and structural information is used as a training model for an intelligent robot, making the control of the robot more intelligent and the operations performed more accurately.

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Abstract

The invention provides a virtual digital brain construction method and system and an intelligent robot control system. The virtual digital brain construction method comprises the following steps of: constructing a virtual digital brain to obtain a brain function causal connection network in a resting state and a task state; constructing a brain structure network by using a hybrid fiber bundle tracking method combining a deterministic algorithm and a probabilistic algorithm; comparing the structure network with the brain function causal connection network, and deleting causal connection withoutdirect structure connection in the brain interval to obtain an improved virtual digital brain; and taking the resting state as a base line, acquiring an activation state of a brain region under tasksignal stimulation, and establishing a node neural activity signal prediction model, namely a final virtual digital brain. According to the invention, the brain function causal connection network is improved through the structure network, and the causal connection without direct structure connection in the brain interval is deleted and the influence of indirect connection is removed by jointly using the function and structure information, so that the establishment of a more effective node neural activity signal prediction model in subsequent processing is facilitated.

Description

technical field [0001] The present disclosure relates to the technical fields related to brain networks and brain-inspired artificial intelligence. Specifically, it relates to a virtual digital brain construction method and system and an intelligent robot control system. The virtual digital brain constructed by the virtual digital brain construction method of the present disclosure can be used for the control of intelligent robots. Background technique [0002] The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art. [0003] Brain science mainly studies the structure and function of the brain, and understands the mechanism of consciousness such as cognition, memory, and thinking. The analysis of various brain function mechanisms in brain science has important clinical significance for the effective diagnosis and treatment of brain diseases. Brain-like artificial intelligence is to ...

Claims

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Application Information

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IPC IPC(8): G06N3/00G06N7/00A61B5/055
CPCG06N3/008A61B5/055A61B5/0033G06N7/01Y02A90/10
Inventor 王晓艳张光玉程运福王鹏程
Owner SHANDONG FIRST MEDICAL UNIV & SHANDONG ACADEMY OF MEDICAL SCI
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