Mumbai, April 7:
Researchers have made a significant advancement by developing a novel bio-AI system where living rat cortical neurons are trained to perform real-time computational tasks. This study aims to merge biological neural networks with machine learning techniques using a closed-loop reservoir computing approach. The primary objective is to investigate whether living neurons can function as effective computing systems rather than merely biological components.
The system integrates living neurons with high-density microelectrode arrays and microfluidic devices. Neural signals are recorded, converted into continuous outputs, and fed back into the system as electrical stimulation in a loop of approximately 330 milliseconds. A real-time learning method continuously adjusts the output to align with target signals, enabling the system to learn autonomously without external intervention.
To enhance performance, neurons were physically organized into 128 micropores connected via microchannels. This innovative design mitigated excessive synchronization, a common issue in unstructured neural networks. Consequently, neuron correlation significantly decreased from 0.45 to around 0.12, resulting in more complex and efficient network behavior. The lattice network structure exhibited the best overall performance.
The system successfully generated various waveform patterns, including sine, square, and triangular waves across multiple time intervals. It also demonstrated the capability to approximate complex chaotic systems, such as the Lorenz attractor. Throughout the training phase, the system maintained impressive accuracy, achieving correlation levels exceeding 0.8.
However, the system does have limitations. Performance declines after training ceases, leading to increased errors during autonomous operation. A significant constraint is the 330-millisecond feedback delay, limiting the system’s ability to manage rapidly changing signals. Future research aims to reduce latency using specialized hardware, with potential applications in brain-machine interfaces, neural prosthetics, and next-generation bio-hybrid AI systems.
My name is Himanshu Tiwari. I am an experienced content writer with several years of expertise in the field. Currently, I contribute to Daily Kiran, creating engaging and informative content across a variety of categories including TECHNOLOGY, health, travel, education, and automobiles. My goal is to deliver accurate, insightful, and captivating information through my words to help readers stay informed and empowered.
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