Abstract: A method for constructing episodic memory model based on rat brain visual pathway and entorhinal-hippocampal structure mainly applied to environment cognition and navigation of an intelligent mobile robot to complete tasks of environment cognition map construction and target-oriented navigation is provided. The image information of the environment, the head-direction angle and speed of the robot are collected, and then the head-direction angle and speed of the robot are input into the entorhinal-hippocampal CA3 neural computational model to obtain the robot's precise position. The visual information is input into the computational model of the visual pathway to obtain the scene information in the current vision of the robot. The above two kinds of information are fused and stored in a cognitive node with the topological relationship.

Abstract: Provided are a sampling circuit and a sampling method. The circuit comprises: a generator, configured to generate a first loopback pulse signal; a loopback selection module, configured to establish a plurality of loopback links according to a pre-configured connection combination; a link loopback pulse signal transmission module, configured to receive the first loopback pulse signal, and transmit the first loopback pulse signal in the plurality of loopback links; a loopback sampling module, connected to the link loopback pulse signal transmission module and configured to determine, from the plurality of loopback links, a target loopback link on which sampling is to be performed, and sample first link data that is on the target loopback link and passes through a target sampling point, and a sampling storage module, connected to the loopback sampling module and configured to store sampling data in a random access memory.

Abstract: The present disclosure provides a delay ripple detection method and a delay ripple detection circuit. The method includes: generating a pulse signal corresponding to a transmission link to be monitored; aligning and transmitting the pulse signal corresponding to the transmission link and data corresponding to the transmission link in the transmission link; and monitoring the pulse signal after being transmitted in the transmission link, and determining whether a delay ripple anomaly is present in the transmission link according to the monitored pulse signal.

Abstract: A method for constructing episodic memory model based on rat brain visual pathway and entorhinal-hippocampal structure mainly applied to environment cognition and navigation of an intelligent mobile robot to complete tasks of environment cognition map construction and target-oriented navigation is provided. The image information of the environment, the head-direction angle and speed of the robot are collected, and then the head-direction angle and speed of the robot are input into the entorhinal-hippocampal CA3 neural computational model to obtain the robot's precise position. The visual information is input into the computational model of the visual pathway to obtain the scene information in the current vision of the robot. The above two kinds of information are fused and stored in a cognitive node with the topological relationship.