Neurocomputing

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Neurocomputing refers to the use of living neuronal networks to explore principles of information processing, learning, and adaptation inspired by the brain. In vitro neurocomputing involves defining recording and stimulation paradigms to perform computational tasks. In these studies, biological neuronal networks can be entrained, perturbed, and monitored to study core mechanisms of plasticity, memory formation, pattern recognition, and signal integration, bridging neuroscience with bioinspired computing and neuromorphic technologies.

MaxWell Biosystems’ High-Density microelectrode array (HD-MEA) platforms are ideally suited for neurocomputing applications. With thousands of addressable electrodes and flexible stimulation capabilities, researchers can deliver precise input patterns and record high-resolution responses across entire networks. The HD-MEA’s ultra-high sensitivity enables detection of individual spikes, bursts, and dynamic activity flows, allowing real-time tracking of how networks compute, adapt, and evolve. This makes MaxWell Biosystems’ HD-MEA technology a powerful tool for understanding biological computation and building next-generation biohybrid systems.

Pioneering the future of computing with brain cells

At the intersection of biology and technology, researchers are investigating how in-vitro brain models, such as neural organoids, can form complex, functional circuits that resemble the human brain. By using the MaxOne Chip to precisely record and stimulate activity within these networks, new frontiers in biohybrid computing are emerging. One example is the concept of a Brain Processing Unit (BPU)—a living system capable of learning, adapting, and processing information in ways inspired by the human brain.

Empower bioinspired computing with
HD-MEAs

Our Technology

Address every cell in the network with high-resolution recording and stimulation

To decode how biological circuits compute, it’s essential to interact with each cell in the network. MaxWell Biosystems’ dense electrode layout and flexible stimulation enable precise input delivery and real-time observation of dynamic activity, supporting experiments that map, entrain, and perturb functional connectivity at cellular resolution.

Real-time control via API for closed-loop interaction

The API empowers researchers to define stimulation paradigms, adapt HD-MEA commands on the fly, and implement feedback-based control. This supports cutting-edge neurocomputing use cases, such as real-time training, reinforcement learning, and AI-biology interface experiments.

Reveal learning and adaptation by tracking plasticity across the network

Uncover how networks change over time with ultra-sensitive recordings that detect subtle shifts in activity patterns. HD-MEAs support detailed studies of synaptic plasticity, memory encoding, and network-level learning.

Bridge biohybrid systems through seamless integration

The capability to interface our HD-MEA systems with other devices seamlessly enables direct communication between living neurons and digital processors. This makes MaxWell Biosystems’ HD-MEAs ideal for connecting with neuromorphic systems and exploring hybrid models of intelligence.

Relevant
Applications

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