Neuromorphic hardware for somatosensory neuroprostheses

Neuromorphic hardware for somatosensory neuroprostheses

16 January 2024 | Elisa Donati & Giacomo Valle
The chapter discusses the potential of neuromorphic technology in restoring somatosensory functions through neuroprosthetic devices. Neuromorphic technology, which mimics the natural behavior of neurons and synapses, offers a promising approach to replicating the encoding of natural touch, potentially enhancing the design of neurostimulation systems. The authors propose that integrating neuromorphic technologies into neuroprostheses could lead to more natural human-machine interfaces, improving device performance, acceptability, and embeddability. However, several challenges remain, including the development of advanced neural interfaces, efficient algorithms for decoding and encoding neural signals, and the engineering of hardware to support necessary computations. The chapter also highlights the current state of neural prosthetics, including cochlear and visual implants, and the limitations of current technologies in providing realistic sensory experiences. Neuromorphic technology is presented as a solution to these challenges, offering low-power, compact, and efficient solutions for sensory feedback restoration. The chapter concludes by discussing the requirements for neuromorphic hardware in somatosensory neuroprostheses and the need for biomimetic approaches to restore naturalistic sensations.The chapter discusses the potential of neuromorphic technology in restoring somatosensory functions through neuroprosthetic devices. Neuromorphic technology, which mimics the natural behavior of neurons and synapses, offers a promising approach to replicating the encoding of natural touch, potentially enhancing the design of neurostimulation systems. The authors propose that integrating neuromorphic technologies into neuroprostheses could lead to more natural human-machine interfaces, improving device performance, acceptability, and embeddability. However, several challenges remain, including the development of advanced neural interfaces, efficient algorithms for decoding and encoding neural signals, and the engineering of hardware to support necessary computations. The chapter also highlights the current state of neural prosthetics, including cochlear and visual implants, and the limitations of current technologies in providing realistic sensory experiences. Neuromorphic technology is presented as a solution to these challenges, offering low-power, compact, and efficient solutions for sensory feedback restoration. The chapter concludes by discussing the requirements for neuromorphic hardware in somatosensory neuroprostheses and the need for biomimetic approaches to restore naturalistic sensations.
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Understanding Neuromorphic hardware for somatosensory neuroprostheses