Brain Computer Interfaces

MoS2 Artificial Neurons Triggered Responses in Living Brain Slices

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MoS2 Artificial Neurons Triggered Responses in Living Brain Slices

TL;DR: A 2026 study in Nature Nanotechnology reported that printed MoS2 memristive nanosheet networks, electronic devices that can produce neuron-like spikes, triggered responses in living mouse brain slices. Key Findings Artificial spiking neurons: Researchers built printed MoS2 memristive nanosheet networks that generated electrical activity resembling neural spikes. Living-tissue response: In mouse brain-slice experiments, the artificial …

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A Wireless Brain Implant Smaller Than a Grain of Salt Just Recorded Neurons for an Entire Year

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The Tiniest Neural Recorder: How Light-Powered Implants Can Monitor the Brain for a Year TL;DR: A nanometer-scale wireless implant (MOTE) powered by light recorded stable brain activity in mice for a full year without tethers or degradation. Recording brain activity for days is routine. Recording for weeks is impressive. Recording for an entire year from …

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Neural Activity in Brain-Machine Interface Manual Reaching Task (Rhesus Monkey Study)

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Researchers have gained new understanding of how the brain controls movement using both overt motor control and brain-machine interface (BMI) control. Their findings provide insight into the distinct neural processes involved in BMI control compared to natural movement. Key Facts: Rhesus monkeys were trained to control a cursor using either overt arm movements or a …

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Advances in Electrical Neural Interfaces for Brain Augmentation & Neuroscience Research

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Electrical neural interfaces are unlocking new possibilities for studying, restoring, and augmenting brain functions. These devices provide direct communication pathways to connect the nervous system with the external world. Recent innovations in neural electrode design, electronics, wireless transmission, integration of electrical and optical modalities, and neural data processing are rapidly advancing the capabilities of electrical …

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Brain Machine Interfaces: Progress, Applications, Ethical Considerations

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Brain-machine interfaces (BMIs) are emerging devices that connect the human brain to computers and machines, enabling an unprecedented two-way flow of information and control. BMIs offer extraordinary new capabilities but also present profound ethical dilemmas we must confront. Key Facts: BMIs acquire brain signals, analyze them via algorithms, and translate them into commands that control …

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Brain-Computer Interfaces: Advances, Applications, Ethics (2023)

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Invasive brain-computer interfaces (BCIs) allow for direct communication between the brain and external devices, offering immense potential for restoring lost functions and even enhancing brain capabilities. Recent advances are bringing this emerging technology closer to widespread clinical use. Invasive BCIs involve surgically implanted electrodes to record from or stimulate the brain. This allows for much …

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Neuralink Brain-Machine Interface: High-Bandwidth Connection to Neurons?

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Neuralink, a neurotechnology company founded by Elon Musk, has developed a novel brain-machine interface system with unprecedented electrode density and bandwidth. In a recent white paper, Neuralink scientists describe their progress towards a scalable, high-performance implantable device for interfacing with the brain. The key facts: Neuralink’s device has over 3,000 electrodes per array, an order …

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Neuralink & Brain-Computer Interfaces: Future Uses to Consider

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Neuralink, a neurotechnology company founded by Elon Musk in 2016, is developing an innovative brain-machine interface (BMI) device that aims to enhance brain function and revolutionize neurosurgery. Early testing on animals shows promise, but human trials are still needed to determine safety and efficacy. If proven viable, Neuralink’s technology could transform treatment for neurological disorders. …

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Brain-Inspired AI Chip: The Future of Energy-Efficient Speech Recognition

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Researchers have developed a new artificial intelligence (AI) chip that mimics the human brain for more energy-efficient speech recognition. The analog AI chip uses phase-change memory devices to perform computations in parallel, dramatically reducing power consumption. In tests, the chip achieved up to 12.4 trillion operations per second per watt, 14 times more energy-efficient than …

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AI Reconstructs Pink Floyd Music from Auditory Cortex with Decoding Models

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Researchers have reconstructed a recognizable version of the Pink Floyd song “Another Brick in the Wall” directly from recorded brain activity. Using advanced machine learning techniques, the team was able to extract enough acoustic information from listeners’ brain signals to identify the song and recreate an intelligible version. Key highlights: Researchers recorded brain activity via …

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