Basal-ganglia based FPGA (field programmable gate array) bionic intelligent control chip

A basal ganglia and intelligent control technology, which is applied in the direction of electrical program control, biological neural network model, program control in sequence/logic controller, etc., to achieve the effects of shortening the development cycle, enhancing system stability, and simplifying circuit connections

Active Publication Date: 2013-04-24
NANJING UNIV OF SCI & TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, these studies only analyzed the FPGA implementation of ordinary neural networks, not the basal ganglia, which is an important mechanism for behavior selection.

Method used

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  • Basal-ganglia based FPGA (field programmable gate array) bionic intelligent control chip
  • Basal-ganglia based FPGA (field programmable gate array) bionic intelligent control chip
  • Basal-ganglia based FPGA (field programmable gate array) bionic intelligent control chip

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Embodiment Construction

[0017] combine figure 1 , the present invention is based on the FPGA bionic intelligent control chip of the basal ganglia, the serial port receiving module 1, the calculation channel input module 2, the basal ganglia module 3, the statistics module 4, the memory module 5, the average frequency calculation module 6, the comparison module 7, The serial port sending module 8 is programmed with the hardware description language Verilog HDL and integrated into an FPGA, that is, the serial port receiving module 1 is connected to the external sensor, the calculation channel input module 2 is connected to the serial port receiving module 1, and the basal ganglia module 3 is connected to the calculation channel input The module 2 is connected, the statistical module 4 is connected with the basal ganglia module 3, the memory module 5 is connected with the statistical module 4, the average frequency calculation module 6 is connected with the memory module 5, the comparison module 7 is con...

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Abstract

The invention discloses a basal-ganglia based FPGA (field programmable gate array) bionic intelligent control chip, which is characterized in that the chip is designed to be bottom-up modular and manufactured thorough the steps of building a spike neuron module by an adder, a multiplier and a shift register on the FPGA; then, preparing five nuclei modules (comprising a striatal SD1 module, a striatal SD2 module, a subthalamic nucleus STN module, a globus pallidus external-nucleus GPe module, and a globus pallidus internal-nucleus GPi) from spike neurons and cynapses; and finally, constitutinga channel by using the neuron modules and then forming an integral basal ganglia. The chip is small in volume, high in integrated level and storing in reliability, and can be used for the behavior choice control of robots for occasions with high requirements.

Description

technical field [0001] The invention belongs to bionic intelligent control chip technology, in particular to a bionic intelligent control chip based on field programmable logic gate array (FPGA) of basal ganglia. Background technique [0002] With the development of robot research in the direction of intelligence, many current research works in this field, such as the development of robotic snakes, robotic fish, and robotic dogs AIBO, are inspired by biology. However, this type of research is usually biomimicry of the biological body, and less attention is paid to the brain, the center of intelligence. Biological research results in recent years have shown that the basal ganglia, a group of neural nuclei under the cerebral cortex, play an important role in the behavior control process of vertebrates. Therefore, qualitative and quantitative research on the role of the basal ganglia in the process of behavior selection and behavior learning will provide new ideas for robotics...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G05B19/05G06N3/063
Inventor 陈庆伟吴益飞王义萍陈威伏姜杜仁慧郭健樊卫华吴晓蓓
Owner NANJING UNIV OF SCI & TECH
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