6 results about "Conditioning operant" patented technology

The present invention discloses a memristive neural network circuit with partially reinforced operant conditioning, comprising a pressure module, a satiety module, a reward module, and a synaptic module; the synaptic module and the reward module are connected, and the reward module includes the pressure module and the satiety module. The technical solution of the present invention enables the circuit to control the rate of reinforcement and inhibition of behavior in operant conditioning with rewards of different frequencies, and also achieves a certain degree of adaptability to multiple reward stimuli during the process of behavioral reinforcement and inhibition.

The application provides a multi-functional operant conditioning reflex neural network circuit with blocking and competition effect, wherein a stimulating signal is connected with an input end of a hippocampus module, an exciting signal and an output signal are connected with input ends of a cerebellum module, the exciting signal, the hippocampus module and the cerebellum module are connected with an input end of a voltage control module, an output end of the voltage control module is connected with an experience module and a feedback module respectively, an output end of the experience module is connected with a decision module and the feedback module respectively, an output end of the feedback module is connected with the voltage control module and the experience module respectively, and an output end of the decision module is connected with the feedback module and obtains the output signal. The application realizes learning of operant conditioning reflex under multiple input signals, can simulate decision judgment of animals in a complex natural environment, and widens the possibility of the existing operant conditioning reflex circuit.

The invention discloses an electroencephalogram response type nerve stimulation training system for dogs and a control method, and relates to the technical field of brain-computer interface application. A time-space alignment module; a feature extraction and identification module; a judgment and parameter self-adaption module; a nerve stimulation module; and a man-machine interaction module. Repeatable and low-time-delay alignment potential data are generated through real-time tracking and global clock alignment of the position of the dog head electrode in combination with high-quality electroencephalogram collection and pane-level feature extraction. Based on the judgment of the data, the real neural activity of the dog can be accurately corresponding in time and space, it is guaranteed that when the expected physiological event of the dog occurs, the award stimulation generated by the nerve stimulation module is accurate and in place, and the consistency and reliability of the stimulation-dog reaction time sequence in training are improved. The operating conditioned reflex principle is applied, and stimulation of the nerve stimulation module can be triggered by the remote controller when the dog has expected behaviors.

A method for providing real-time music stimuli to urge a subject having a time-varying mental state to attain a target state includes receiving a first physiological-signal that carries information that represents the time-varying mental state, using the physiological signal and information about the target state to generate a music stimulus in real time and transmitting the music stimulus for exposure thereof to the subject.

The application provides an operant conditioning reflex neural network circuit with bridging and conditional reinforcement, comprising a memory module, a delay module, a prefrontal cortex module, an experience module and a generalization module, the bridging function in the operant conditioning reflex is realized through the delay module and the prefrontal cortex module, the conditional reinforcement function in the operant conditioning reflex is realized by the memory module and the prefrontal cortex module, and the generalization function of the operant conditioning reflex is realized through the generalization module and the experience module. The application considers the situation that the classical conditioning reflex and the operant conditioning reflex occur simultaneously in the actual training scene, realizes the learning, forgetting and delay learning in the classical conditioning reflex and the bridging, conditional reinforcement and generalization functions in the operant conditioning reflex respectively. The circuit designed by the application is more in line with the biological characteristics and more comprehensive, and is helpful to build a more intelligent neural network circuit.