Abstract: The present invention discloses a system for finding shortest pathways between neurons in a neuronal network, including a neuronal space generating device for establishing a three-dimensional or higher dimensional neuronal space database (which may be neuron image database), wherein the three dimensional or higher dimensional neuronal space database includes a plurality of neurons distributed therein. A neurons connection determining device is used for determined whether there is a connection between each of the plurality of neurons in the three-dimensional or higher dimensional neuronal space database and the others of the plurality of neurons in the three-dimensional or higher dimensional neuronal space database. A neuronal shortest pathway tables generating device is used for calculating a shortest pathway table of all of a plurality of connected neurons and then stored in a storage device.

Abstract: The present invention discloses a system for finding shortest pathways between neurons in a neural network, including a neural space generating module for establishing a three dimensional or higher dimensional neural space database (which may be neuron image database), wherein the three dimensional or higher dimensional neural space database includes a plurality of neurons distributed therein. A neurons connection determining module is used for determined whether there is a connection between each of the plurality of neurons in the three dimensional or higher dimensional neural space database and the others of the plurality of neurons in the three dimensional or higher dimensional neural space database. A neural shortest pathway tables generating module is used for calculating a shortest pathway table of all of a plurality of connected neurons and then stored in a storage device.

Abstract: The present invention discloses a method for finding shortest pathways between neurons in a neural network, including: establishing a three dimensional or higher dimensional neural space database (which may be neuron image database) by a processing device in a storage space, wherein the three dimensional or higher dimensional neural space database includes a plurality of neurons distributed therein. Then, it is determined whether there is a connection between each of the plurality of neurons in the three dimensional or higher dimensional neural space database and the others of the plurality of neurons in the three dimensional or higher dimensional neural space database by the processing device, and subsequently a shortest pathway table of all of a plurality of connected neurons is calculated via an All-pairs Shortest Paths algorithm and is stored in the storage space.

Abstract: The present invention relates to methods for searching and constructing a 3D motif image database, wherein said 3D motif image database can be used to understand the connection relationship of a 3D network, e.g. a neural network comprising biological neural networks or artificial neural networks. The searching and constructing methods are applied on the 3D motif image database, a proper computer-aided graphic platform. The database not only facilitates the management of the huge amount of categorized data but also rationally excavates the hidden information cloaked within.

Abstract: The present invention relates to methods for searching and constructing a 3D motif image database, wherein said 3D motif image database can be used to understand the connection relationship of a 3D network, e.g. a neural network comprising biological neural networks or artificial neural networks. The searching and constructing methods are applied on the 3D motif image database, a proper computer-aided graphic platform. The database not only facilitates the management of the huge amount of categorized data but also rationally excavates the hidden information cloaked within.