A physical emulation of somatosensory cortex as a Neuromorphic Twin for neural prostheses DOI Creative Commons

Héctor Ramírez,

Elisa Donati, Wolfger von der Behrens

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: May 14, 2024

Abstract Loss of tactile feedback in patients with paralysis or limb loss prevents the integration sensory-motor signals, limiting dexterous motor control. Recent advances neurostimulation human somatosensory cortex offer possibility restoring touch these patients. Brain-computer interfaces and bidirectional prostheses implantable electrodes can restore feedback, improving control, awareness, quality life. However, current electrical stimulation methods lack fidelity to consistently reliably reproduce natural sensations, impact this on remains unclear. Here we propose use a mixed-signal neuromorphic processing system construct “neuromorphic twin” cortex, following bottom-up approach for emulating reproducing its intricate dynamics. We analog properties electronic neuron synapse circuits faithfully replicate neural synaptic response properties. To effects at network level, configure processor implement recurrent connectivity patterns among different populations excitatory inhibitory silicon neurons. Our findings demonstrate twin’s ability spatiotemporal firing native neuronal population receiving afferent fiber inputs, resulting highly bio-realistic model that be used investigate effect patterns. This physical emulation cortical represents therefore an additional tool understand predict behavior under neurostimulation. Using system, optimized produce more sensations ultimately improve restored leading better life affected

Language: Английский

Shaping high-performance wearable robots for human motor and sensory reconstruction and enhancement DOI Creative Commons
Haisheng Xia, Yuchong Zhang, Nona Rajabi

et al.

Nature Communications, Journal Year: 2024, Volume and Issue: 15(1)

Published: Feb. 26, 2024

Abstract Most wearable robots such as exoskeletons and prostheses can operate with dexterity, while wearers do not perceive them part of their bodies. In this perspective, we contend that integrating environmental, physiological, physical information through multi-modal fusion, incorporating human-in-the-loop control, utilizing neuromuscular interface, employing flexible electronics, acquiring processing human-robot biomechatronic chips, should all be leveraged towards building the next generation robots. These technologies could improve embodiment With optimizations in mechanical structure clinical training, better facilitate human motor sensory reconstruction enhancement.

Language: Английский

Citations

31
Tactile edges and motion via patterned microstimulation of the human somatosensory cortex DOI
Giacomo Valle, Ali H. Alamri, John E. Downey

et al.

Science, Journal Year: 2025, Volume and Issue: 387(6731), P. 315 - 322

Published: Jan. 16, 2025

Intracortical microstimulation (ICMS) of somatosensory cortex evokes tactile sensations whose properties can be systematically manipulated by varying stimulation parameters. However, ICMS currently provides an imperfect sense touch, limiting manual dexterity and experience. Leveraging our understanding how features are encoded in the primary (S1), we sought to inform individuals with paralysis about local geometry apparent motion objects on their skin. We simultaneously delivered through electrodes spatially patterned projected fields (PFs), evoking edges. then created complex PFs that encode arbitrary shapes skin indentation patterns. By delivering spatiotemporally ICMS, evoked sensation across skin, speed direction which could controlled. Thus, improved individuals’ experience use brain-controlled bionic hands.

Language: Английский

Citations

4
Clinical trials for implantable neural prostheses: understanding the ethical and technical requirements DOI Creative Commons
Marcello Ienca, Giacomo Valle, Staniša Raspopović

et al.

The Lancet Digital Health, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

SummaryNeuroprosthetics research has entered a stage in which animal models and proof-of-concept studies are translated into clinical applications, often combining implants with artificial intelligence techniques. This new phase raises the question of how trials should be designed to scientifically ethically address unique features neural prostheses. Neural prostheses complex cyberbiological devices able acquire process data; hence, their assessment is not reducible only third-party safety efficacy evaluations as pharmacological research. In addition, requires causal understanding mechanisms, scrutiny information security legal liability standards. Some affect human behaviour, but also psychological faculties such consciousness, cognition, affective states. this Viewpoint, we argue that technological novelty could generate challenges for technology assessment, validation, ethics oversight. To end, identify set methodological specific medical innovation. We provide insights relevant ethical guidelines assess whether oversight mechanisms well equipped ensure adequate use. Finally, outline patient-centred requirements involving implantable

Language: Английский

Citations

3
Neuromorphic Computing for Smart Agriculture DOI Creative Commons
Siyi Lu, Xinqing Xiao

Agriculture, Journal Year: 2024, Volume and Issue: 14(11), P. 1977 - 1977

Published: Nov. 4, 2024

Neuromorphic computing has received more and attention recently since it can process information interact with the world like human brain. Agriculture is a complex system that includes many processes of planting, breeding, harvesting, processing, storage, logistics, consumption. Smart devices in association artificial intelligence (AI) robots Internet Things (IoT) systems have been used also need to be improved accommodate growth computing. great potential promote development smart agriculture. The aim this paper describe current principles neuromorphic technology, explore examples applications agriculture, consider future route synapses, neurons, neural networks (ANNs). A expected improve agricultural production efficiency ensure food quality safety for nutrition health agriculture future.

Language: Английский

Citations

12
Nanomaterials for Flexible Neuromorphics DOI

Guanglong Ding,

Hang Li,

Jiyu Zhao

et al.

Chemical Reviews, Journal Year: 2024, Volume and Issue: 124(22), P. 12738 - 12843

Published: Nov. 5, 2024

The quest to imbue machines with intelligence akin that of humans, through the development adaptable neuromorphic devices and creation artificial neural systems, has long stood as a pivotal goal in both scientific inquiry industrial advancement. Recent advancements flexible electronics primarily rely on nanomaterials polymers owing their inherent uniformity, superior mechanical electrical capabilities, versatile functionalities. However, this field is still its nascent stage, necessitating continuous efforts materials innovation device/system design. Therefore, it imperative conduct an extensive comprehensive analysis summarize current progress. This review highlights applications neuromorphics, involving inorganic (zero-/one-/two-dimensional, heterostructure), carbon-based such carbon nanotubes (CNTs) graphene, polymers. Additionally, comparison summary structural compositions, design strategies, key performance, significant these are provided. Furthermore, challenges future directions pertaining materials/devices/systems associated neuromorphics also addressed. aim shed light rapidly growing attract experts from diverse disciplines (e.g., electronics, science, neurobiology), foster further for accelerated development.

Language: Английский

Citations

12
BiœmuS: A new tool for neurological disorders studies through real-time emulation and hybridization using biomimetic Spiking Neural Network DOI Creative Commons
Romain Beaubois,

Jérémy Cheslet,

Tomoya Duenki

et al.

Nature Communications, Journal Year: 2024, Volume and Issue: 15(1)

Published: June 20, 2024

Abstract Characterization and modeling of biological neural networks has emerged as a field driving significant advancements in our understanding brain function related pathologies. As today, pharmacological treatments for neurological disorders remain limited, pushing the exploration promising alternative approaches such electroceutics. Recent research bioelectronics neuromorphic engineering have fostered development new generation neuroprostheses repair. However, achieving their full potential necessitates deeper biohybrid interaction. In this study, we present novel real-time, biomimetic, cost-effective user-friendly network capable real-time emulation experiments. Our system facilitates investigation replication biophysically detailed dynamics while prioritizing cost-efficiency, flexibility ease use. We showcase feasibility conducting experiments using standard biophysical interfaces variety cells well diverse configurations. envision crucial step towards neuromorphic-based bioelectrical therapeutics, enabling seamless communication with on comparable timescale. Its embedded functionality enhances practicality accessibility, amplifying its real-world applications

Language: Английский

Citations

11
An Aquatic Autonomic Nervous System DOI Open Access
Yuan Cheng,

Kexin Xu,

Yu‐Ting Huang

et al.

Advanced Materials, Journal Year: 2024, Volume and Issue: 36(47)

Published: Oct. 8, 2024

Abstract Reproducing human nervous systems with endogenous mechanisms has attracted increasing attention, driven by its great potential in streamlining the neuro‐electronic interfaces bilateral signaling. Here, an artificial aquatic autonomic system (ANS) switchable excitatory/inhibitory characteristics and acetylcholine (ACh)‐mediated plasticity is reported based on newly emerged organic photoelectrochemical transistor (OPECT). Under modulation of spatial light ACh, exhibits immediate switch between excitation inhibition, many pulse patterns as well advanced ANS functions are mimicked. To demonstrate usage, then utilized to control pupils muscles emulate real biological responses during emergency. In contrast previous solid‐state attempts, this aqueous compatible just like systems, which capable neurotransmitter mediation.

Language: Английский

Citations

8
A Neural Device Inspired by Neuronal Oscillatory Activity with Intrinsic Perception and Decision‐Making DOI Creative Commons

Congtian Gu,

Guoliang Ma,

Mengze Zhang

et al.

Advanced Science, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 4, 2025

Abstract Bionic neural devices often feature complex structures with multiple interfaces, requiring extensive post‐processing. In this paper, a device intrinsic perception and decision‐making (NDIPD), inspired by neuronal oscillatory activity is introduced. The utilizes alternating signals generated coupling the human body power‐frequency electromagnetic field as both signal source energy source, mimicking activity. peaks valleys of are differentially modulated to replicate baseline shift process in By comparing amplitude NDIPD's electrical output signal, achieves regarding location mechanical stimulation. This accomplished using single interface, which reduces data transmission, simplifies functionality, eliminates need for an external power supply. NDIPD demonstrates low‐pressure detection limit (<0.02 N), fast response time (<20 ms), exceptional stability (>200 000 cycles). It shows great potential applications such game control, UAV navigation, virtual vehicle driving. innovative supply method sensing mechanism expected open new avenues development bionic devices.

Language: Английский

Citations

1
Inferring Mental States from Brain Data: Ethico‐legal Questions about Social Uses of Brain Data DOI Creative Commons
Jennifer A. Chandler

The Hastings Center Report, Journal Year: 2025, Volume and Issue: 55(1), P. 22 - 32

Published: Jan. 1, 2025

Neurotechnologies that collect and interpret data about brain activity are already in use for medical nonmedical applications. Refinements of existing noninvasive techniques the discovery new ones will likely encourage broader uptake. The increased collection and, particular, their to infer existence mental states have led questions whether privacy may be threatened. It threatened if actually support inferences mind or decisions made a person belief justified. This article considers chain lying between neural particular state as well ethico-legal issues raised by making these inferences, focusing here on what threshold reliability should using states.

Language: Английский

Citations

1
Enhancing Assistive Technologies With Neuromorphic Computing DOI

G. Chandra,

Bhanuprakash Ananthakumar,

Ramya Raghavan

et al.

Advances in computational intelligence and robotics book series, Journal Year: 2024, Volume and Issue: unknown, P. 207 - 232

Published: Oct. 4, 2024

The development of intelligent neuroprosthetics, which promise to augment human brain function is vital for augmentative assistive technologies. Neuromorphic sensors and processors are particularly adept at mimicking the brain's efficient sensory processing, offering devices an advanced capability perceive interpret complex environmental stimuli. application these technologies in computer interfaces suggests a future where transformative advancements not only possible but imminent, facilitating novel methods human-computer interaction providing insights into intricate workings through AI machine learning techniques. This paper explores integration neuromorphic with brain-computer (BCIs), highlighting potential enhance revolutionize communication healthcare. However, realization computing's full within BCIs contingent upon overcoming significant technological ethical challenges.

Language: Английский

Citations

4