Navigating the complexity of touch

Science, Journal Year: 2025, Volume and Issue: 387(6731), P. 248 - 249

Published: Jan. 16, 2025

Precise cortical microstimulation improves tactile experience in brain–machine interfaces

Language: Английский

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Rapid learning and integration of artificial sensation

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2025, Volume and Issue: unknown

Published: April 19, 2025

1 Summary Prosthetic limbs lack proprioceptive feedback, which is essential for complex movements. Intracortical mi-crostimulation (ICMS) elicits sensory perceptions that could serve as an artificial signal. However, movements guided by ICMS are slower and less accurate than those with natural sensation. Here, we developed a freely-moving mouse behavioral task to improve encoding of Mice implanted 16-channel microwire arrays in primary somatosensory cortex were trained navigate targets upon the floor custom training cage. Target location was encoded visual and/or feedback. quickly learned use signal locate invisible targets, achieving 75% proficiency on ICMS-only trials first three sessions testing. Furthermore, performance multimodal significantly exceeded unimodal performance, demonstrating animals integrated vision This protocol can be applied efficiently develop test algorithms encode proprioception neural prostheses.

Language: Английский

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Investigating the spatial limits of somatotopic and depth-dependent sensory discrimination stimuli in rats via intracortical microstimulation

Frontiers in Neuroscience, Journal Year: 2025, Volume and Issue: 19

Published: May 14, 2025

The somatosensory cortex can be electrically stimulated via intracortical microelectrode arrays (MEAs) to induce a range of vibrotactile sensations. While previous studies have employed multi-shank MEA configurations map somatotopic relationships, the influence cortical depth on sensory discrimination remains relatively unexplored. In this study, we introduce novel approach for investigating spatial limits stimulation-evoked based and relationships in rodents. To achieve this, implanted single-shank four-shank 16-channel MEAs into primary male rats. Then, defined distinct stimulation patterns comparison, each consisting four simultaneously electrode sites separated along length device or between shanks device. Next, utilized nose-poking, two-choice task evaluate rat’s ability accurately differentiate these patterns. We demonstrate that rats were able reliably discriminate most superficial (450–750 μm) deepest (1650–1950 with 90% accuracy, whereas next adjacent pattern (650–950 significantly dropped 53% ( p < 0.05). Similarly, group, accuracy was 88% furthest pairs (375 μm difference) but fell 62% 0.05) closest (125 difference). Overall, subjects could robustly stimuli by 800 column whereas, animals delivered from 250 μm. Results showed when distances decreased, had reduced discriminable suggesting greater difficulty differentiating closely positioned stimuli. better understand results, also computational modeling compare our in-vivo results against neuronal activation volumes presented biophysically realistic model cortex. These simulations displayed overlapping activated neurons antidromic propagation axons pair, potentially influencing limits. This work, which offers insight how physical separation stimulating maps discernable percepts, informs design considerations future microstimulation arrays.

Language: Английский

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Optimization frameworks for bespoke sensory encoding in neuroprosthetics

APL Bioengineering, Journal Year: 2025, Volume and Issue: 9(2)

Published: May 20, 2025

Restoring natural sensation via neuroprosthetics relies on the possibility of encoding complex and nuanced information. For example, an ideal brain–machine interface with sensory feedback would provide user about movement, pressure, curvature, texture, etc. Despite advances in neural interfaces that allow for stimulation patterns (e.g., multisite or targeting a precise ensemble), key question remains: How can we best exploit potential these technologies? The increasing number electrodes coupled more parameters being explored leads to exponential increase possible combinations, making brute-force approach, such as systematic search, impractical. This Perspective outlines three different optimization frameworks—namely, explicit, physiological, self-optimized methods—allowing one potentially converge faster toward effective parameters. Although our focus will be somatosensory system, frameworks are flexible applicable various systems vision) stimulator types.

Language: Английский

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The Next Frontier in Neuroprosthetics: Integration of Biomimetic Somatosensory Feedback

Biomimetics, Journal Year: 2025, Volume and Issue: 10(3), P. 130 - 130

Published: Feb. 21, 2025

The development of neuroprosthetic limbs—robotic devices designed to restore lost limb functions for individuals with loss or impairment—has made significant strides over the past decade, reaching stage successful human clinical trials. A current research focus involves providing somatosensory feedback these devices, which was shown improve device control performance and embodiment. However, widespread commercialization adoption limbs remain limited. Biomimetic neuroprosthetics, seeks resemble natural sensory processing tactile information deliver biologically relevant inputs nervous system, offer a promising path forward. This method could bridge gap between existing neurotechnology future realization bionic that more closely mimic biological limbs. In this review, we examine recent key trials incorporated on through biomimetic neurostimulation missing paralyzed Furthermore, highlight potential impact cutting-edge advances in sensing, encoding strategies, neuroelectronic interfaces, innovative surgical techniques create clinically viable human–machine interface facilitates perception advanced, closed-loop quality life people sensorimotor impairments.

Language: Английский

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Dynamically Reversible Filament Networks Enabling Programmable In‐Sensor Memory for High‐Precision Neuromorphic Interactions

Advanced Functional Materials, Journal Year: 2025, Volume and Issue: unknown

Published: March 17, 2025

Abstract Embodied intelligent tactile systems represent a groundbreaking paradigm for autonomous agents, facilitating dynamic perception and adaptation in unstructured environments. Traditional von Neumann architectures suffer from inefficiencies due to the separation of sensing memory units, where mechanical relaxation is often overlooked as non‐informative noise rather than utilized computational resource. The transition dynamics stimulation encoding their potential neuromorphic interactions remain largely unexplored. Here, we present transformative breakthrough seamless integration (SMI) within single device through programmable memory. Utilizing polyborosiloxane (PBS) filament networks with dynamically reversible boron‐oxygen hydrogen bonds, design enhances adhesion energy dissipation. It enables pressure‐induced electrically readable states tunable retention times (260 ms 63.9 s) 99.6% linearity, supporting applications, such threshold triggering, biomimetic pain perception, motion recognition. SMI sensor's in‐sensor logic functions facilitate control, while its capabilities enable visualization action‐driven modulation. Additionally, spatiotemporal achieves high‐precision recognition (98.33%) without relying on continuous time‐series data. This work introduces novel mechanism constructing devices, advancing development systems.

Language: Английский

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A class of solutions for a neural model influenced by magnetic field and diffusion term

Ricerche di Matematica, Journal Year: 2025, Volume and Issue: unknown

Published: May 6, 2025

Language: Английский

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