FinalSpark has offered us an opportunity to do research in a system which would have otherwise been impossible to access due to cost, staffing, and facility requirements. Beyond creating revolutionary technology, they have been fantastic partners; they are quick to debug, open to feedback, and proactive with docs and utilities. The Neuroplatform (and FinalSpark’s support) has enabled us to focus on the science instead of the setup, and we reached meaningful results in days instead of months. FinalSpark has proven to be a credible partner for us and a great advocate for the field of biocomputing.

We have enjoyed working with the Neuroplatform team
and appreciate all the support you have provided.

Obtaining access to FinalSpark’s neuroplatform has enabled us to test the bio-inspired robotic perception algorithms we develop directly on biological organoids. This has been very valuable to us as a research group, and has granted us access to the exciting new field of biocomputing. Working with biological systems comes with its own challenges which is why it’s great to be able to work with experts in that field and focus on the machine learning and robotics aspects.

Brain organoid computing is a fascinating emerging field, but managing living neural tissue usually requires highly specialized expertise and substantial investment. By removing that barrier and providing remote access to biological neural networks from anywhere in the world, the FinalSpark Neuroplatform makes this technology truly accessible and highly promising for future research.

This fully supported, integrated electrophysiology platform, with swift, reliable, and responsive assistance, has made our organoid research far more efficient in both time and cost.

With the FinalSpark Neuroplatform, we were able to access neural activity with unprecedented ease. Using simple Python code, we could seamlessly record organoid activity, manage large volumes of data from continuous 24/7 recordings, and deliver tailored electrical stimulation to modulate connectivity patterns in living organoids.

The FinalSpark Neuroplatform has been instrumental in helping our research group move from theoretical concepts to hands-on experimentation. The ability to remotely interact with living neural tissue through an easily programmable interface has made our speculative research tangible and testable in a research environment that was previously inaccessible. It has provided a practical foundation for research that would have otherwise remained purely theoretical.

Working with the Finalspark platform has provided me with the unique opportunity to programmatically and experimentally engage directly with living neuronal networks.
This innovative platform allows for the technically rigorous and conceptually novel exploration of learning, adaptation, and computation in biological substrates.
The most promising aspect is the system’s pre-established out-of-the-box notebooks, which enable immediate initial experimentation. This capability permits me to pioneer and probe dynamic systems controls in a remote setting immediately.