Fpga-Based Spiking Neural Network With Hippocampal Oscillation Dynamics Towards Biologically Meaningful Prostheses

Hippocampus plays a critical role in human cognitive functions. In this paper a FPGA-based spiking neural network with hippocampal oscillation dynamics is presented with real-time computational speed. The effects of the internal surroundings including the carbachol perfusion have been considered and realized based on FPGA. The effects of the rhythm modulation of the hippocampal neural network are considered, which provides feasibilities to investigate more biological dynamics. In addition, scalable hardware architectures are discussed in detail and provided using multiple hardware techniques. This feasible and efficient design will facilitate the study on the dynamical behaviors of the cognitive function, and is an essential step towards building real-time biologically meaningful HSNN prostheses.