Fig. 1: Overview of BiœmuS, a real-time hardware-based SNN for biophysically detailed emulation and biohybrid experiments. | Nature Communications

Fig. 1: Overview of BiœmuS, a real-time hardware-based SNN for biophysically detailed emulation and biohybrid experiments.

From: BiœmuS: A new tool for neurological disorders studies through real-time emulation and hybridization using biomimetic Spiking Neural Network

Fig. 1

A BiœmuS corresponds to a platform integrating a hardware SNN allowing user to monitor and configure. the system through Python scripts and Qt-based GUI. The fully configurable network allows real-time emulation of custom network configurations that can be integrated in a biohybrid experimental setup acting as a versatile biomimetic artificial neural network easily interfaced with standard biological recording units. Network configurations displayed are exported from BiœmuS software. B BiœmuS runs on a carrier board integrating a System-on-Module featuring CPU in a Processing System part (PS) and FPGA in a Programmable Logic part (PL). The real-time hardware biomimetic SNN is implemented in PL part and controlled through a C++ application running in the PS part. The PS part runs a Canonical Ubuntu allowing standard interfacing and operation. Monitoring is performed by a Qt-based GUI and setup by Python scripts ran either on-board or on another computer.

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