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Dedicated systems are fundamental for neuroscience experimental protocolsthat require timing determinism and synchronous stimuli generation. Wedeveloped a data acquisition and stimuli generator system for neuroscienceresearch, optimized for recording timestamps from up to 6 spiking neurons andentirely specified in a high-level Hardware Description Language (HDL). Despitethe logic complexity penalty of synthesizing from such a language, it waspossible to implement our design in a low-cost small reconfigurable device.Under a modular framework, we explored two different memory arbitration schemesfor our system, evaluating both their logic element usage and resilience toinput activity bursts. One of them was designed with a decoupled and latencyinsensitive approach, allowing for easier code reuse, while the other adopted acentralized scheme, constructed specifically for our application. The usage ofa high-level HDL allowed straightforward and stepwise code modifications totransform one architecture into the other. The achieved modularity is veryuseful for rapidly prototyping novel electronic instrumentation systemstailored to scientific research.

Modular Acquisition and Stimulation System for Timestamp-Driven Neuroscience Experiments