The Neuroscientist, Journal Year: 2025, Volume and Issue: unknown
Published: March 13, 2025
Harnessing intelligence from brain cells in vitro requires a multidisciplinary approach integrating wetware, hardware, and software. Wetware comprises the themselves, where differentiation induced pluripotent stem offers ethical scalability; hardware typically involves life support system setup to record activity deliver stimulation cells; software is required control process signals coming going cells. This review provides broad summary of foundational technologies underpinning these components, along with outlining importance technology integration. Of particular that this new ability extend beyond traditional methods assess primarily survival spontaneous neural cultures. Instead, focus returns core function tissue: neurocomputational information respond accordingly. Therefore, also covers work that, despite relatively early state current technology, has provided novel meaningful understandings field neuroscience opening exciting avenues for future research.
Language: Английский
Citations
1A critical review on machine learning applications in fiber composites and nanocomposites: Towards a control loop in the chain of processes in industries
Materials & Design, Journal Year: 2024, Volume and Issue: 245, P. 113247 - 113247
Published: Aug. 13, 2024
• Statistics and language processing tools were used to analysis papers. Fiber polymer composites largely in machine learning applications. Nanoparticles as reinforcement nonpolymeric matrices less frequent. Neural deep neural networks frequently used. Machine applications mostly occurred structure health monitoring. must be evaluated achieve correct use various fields. Their properties, performance, condition, integrity can quickly predicted optimized by (ML), after extensive training, compared with experiments conventional computational simulations. In this document, papers on ML fiber collected critically reviewed. It was revealed that kind environments have been primarily Supervised has more than unsupervised ML, whereas some specific semi–supervised ( e.g. , learning) or predictive control overlooked. Most successful the laboratory scale short term. Furthermore, deployment of addition, retroactive feedback from manufacturing polymers composite laminates structures neglected. Accordingly, a loop chain processes discussed. Additionally, statistics summarize analyze Finally, it proposed multiscale modeling using physics is potential approach advance predictions for future Therefore, physicochemical interactions (van der Waals electrostatic) nanoscale included.
Language: Английский
Citations
5Softness: An Ecological Paradigm for Embodied Technological Intelligence
Social Epistemology, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 10
Published: Jan. 13, 2025
This paper explores the rise of agential materialism in humanities and science its influence on technological progress, proposing 'softness' as a paradigm for designing increasingly 'agentised' technologies. Soft technologies – defined by plastic embodiments, self-organisation, multi-scalar material design challenge hegemonic visions machines rigid, unfeeling, subordinate to human control. Case studies soft biohybrid robotics, wetware computing, nanotechnology demonstrate how emerging embody unprecedented forms artificial agency outline future possibilities embodied intelligence. A shift towards softness fosters 'micro-sustainability', embedding self-contained, regenerative energy resource management at scale. By complicating separation nature artifact hierarchical relationship humans technologies, contributes broader 'ecology technology', offering pathways sustainable innovation face global ecological challenges.
Language: Английский
Citations
0Flexible and stretchable bioelectronics for organoids
Med-X, Journal Year: 2025, Volume and Issue: 3(1)
Published: Feb. 1, 2025
Abstract Organoids have gained significant interest due to their ability recapitulate the structural, molecular, and functional complexity of corresponding organs. While methods been developed characterize benchmark organoid structural molecular properties, capturing development maturation organoids remains challenging. To address this, multifunctional bioelectronics for interfacing with has actively pursued. However, conventional electronics face limitations in achieving recording control across entire three-dimensional (3D) volume a long-term stable manner large morphological cellular composition changes during development. In this review, we first discuss application interfacing. We then focus on flexible stretchable designed create organoid/electronics hybrids chronically interfaces. also review recent advancements charting multimodal cell activities throughout Furthermore, explore integration other characterization modalities comprehensive cells within 3D tissues. Finally, potential integrating artificial intelligence into system through embedded electronics, harnessing biosymbiotic computational systems. These could provide valuable tools characterizing maturation, establishing patient-specific models, developing therapeutic opportunities, exploring novel strategies. Graphical abstract
Language: Английский
Citations
0基于离体神经网络的生物智能计算：关键技术与研究现状(特邀)
Infrared and Laser Engineering, Journal Year: 2025, Volume and Issue: 54(3), P. 20250073 - 20250073
Published: Jan. 1, 2025
Citations
0Starting a synthetic biological intelligence lab from scratch
Patterns, Journal Year: 2025, Volume and Issue: unknown, P. 101232 - 101232
Published: April 1, 2025
Language: Английский
Citations
0Organic charge-modulated transistor for electrophysiological measurements of human-derived neurospheroids
Frontiers in Bioengineering and Biotechnology, Journal Year: 2025, Volume and Issue: 13
Published: May 16, 2025
In this work, we present an alternative system to standard microelectrode arrays for monitoring the electrical activity of 3D cellular aggregates such as neurospheroids, which are known better replicate complex architecture and interactions native neural tissue than 2D cultures. The is based on ultra-sensitive organic sensor called Organic Charge-Modulated Field Effect Transistor (OCMFET) fabricated through low-resolution, low-cost fabrication techniques. This peculiar charge offers interesting features like absence a reference electrode in culture medium, direct amplification, mechanical flexibility, optical transparency. As preliminary validation, OCMFET has been coupled rtTA/Ngn2-positive human induced pluripotent stem cell (hiPSC)-derived neurospheroids was able reliably detect their spontaneous exhibiting high SNR. validation lays foundation development simple, low-cost, ultra-flexible transistor-based systems high-performing, reliable interfacing with neuronal structures.
Language: Английский
Citations
0Beyond Consciousness: Ethical, Legal, and Social Issues in Human Brain Organoid Research and Application
European Journal of Cell Biology, Journal Year: 2024, Volume and Issue: 104(1), P. 151470 - 151470
Published: Dec. 19, 2024
Language: Английский
Citations
1Industry updates from the field of stem cell research and regenerative medicine in May 2024
Regenerative Medicine, Journal Year: 2024, Volume and Issue: 19(9-10), P. 445 - 454
Published: Aug. 5, 2024
Latest developments in the field of stem cell research and regenerative medicine compiled from publicly available information press releases non-academic institutions May 2024.
Language: Английский
Citations
0Hardware Simulations of Spiking Neural P Systems
Published: Jan. 1, 2024
Language: Английский
Citations
0