The amazing successes of deep learning applications should not mask the fact that little progresses towards an Artificial General Intelligence have been made since the beginning of Al research in the 60s. This is despite the huge amount of tested ideas over the past 30 years (over 3 million publications), ranging from logic modeling (Bayesian networks for instance) to biologically inspired system (Artificial neural networks for instance), and all in-between systems. Many reasons for this stagnation have been proposed. Among them are the lack of computing power (Ray Kurzweil) and the over-simplified biological models used for simulations (Jeff Hawkins). We envision there is now a solution to overcome those two specific issues: using Biological Neural Networks instead of Artificial Neural Networks.
…using Biological Neural Networks instead of Artificial Neural Networks.
…develop a whole new area of applications for
“in vitro neural circuits”…
Indeed, in its review on the rise of three-dimensional human brain cultures, January 25 2018 issue of Nature, S. Pasca from the Department of Psychiatry and Behavioral Sciences at Stanford University highlighted how the combination of recent advances in a diversity of research fields such as pluripotent stem cells in biotechnology, probing tools such as neuronal electrophysiology in microelectronics, and hydrogels and bio-scaffolds in biomaterials has the potential to develop a whole new area of applications for “in vitro neural circuits”, and calling for multidisciplinary developments to take this technology into the “plateau of productivity” beyond the early hype. This is exactly what bioserver.net addresses.
…develop a whole new area of applications for
“in vitro neural circuits”…
Therefore, given those advances, we believe that using biological human neurons in Vitro has now become an interesting alternative compared to having to understand and afterwards simulate them on a computer in Silico. It may not be intellectually as satisfying as understanding how things work, but it is probably a more pragmatic approach if the purpose is to successfully handle higher level cognitive tasks.
Our plan is to propose a remote access to our biological computing resources. Our Biological Neural Networks are stored in automatically monitored incubators which make sure that we always keep them in optimal environmental conditions (100% humidity / 5% CO2). Our expert team takes care of media changes and parameters monitoring. Neurons are digitally interfaced using state-of-the-art Multi-Electrode Arrays (MEA) and ultra-low noise analog-digital converters. These electrodes enable you to input signals directly into the Biological Neural Network and read its outputs using a dedicated Application Programming Interface (API). Once your access will be granted, you will be able to immediately start experimenting and training the network.
In September 2020, we were invited to the Intelligent Health conference in order to present our vision of the future AI. The video of our presentation has just been authorized for public broadcasting. Here it is…
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What is a neuronal spike? Neuronal spike is an electrical signal generated by a neuron. Neuronal cells have a membrane potential which means that the electric charge (expressed in voltage) is not the same on both side of its membrane. This is due to the difference in ion concentrations on external versus internal side of …
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Signalling between neurons allows the storage and processing of information. Further, this information can flow to other living tissues or, ex vivo, to devices which are connected to neurons. The understanding of these processes can be used in two main directions: 1. In vivo: To explain how our brains perceives the environment and controls all …
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