This review surveys state-of-the-art approaches for neural recording, stimulation and signal decoding and encoding across brain–computer interfaces, neuroprosthetics, and neuromodulation systems aimed at restoring function and treating neurological disorders.
Abstract
Neurological disorders pose a growing global health burden, motivating advances in neural interfacing and artificial intelligence (AI). This review surveys state-of-the-art approaches for neural recording, stimulation and signal decoding and encoding across brain–computer interfaces, neuroprosthetics, and neuromodulation systems aimed at restoring function and treating neurological disorders. It highlights recent progress in AI, particularly neuromorphic computing and spiking neural networks (SNNs), and introduces Brain-Inspired Brain–Computer Interfaces (BI-BCIs) as a unifying framework for low-power, closed-loop, and miniaturized neuromorphic neurotechnologies.
It is argued that the same handful of bottlenecks recur across all three technologies (long-term stability, neural coding, and equitable access) and the governance frameworks needed alongside continued engineering progress are outlined.
Volodymyr Mavrych, O. Bolgova, Leen Alhamd et al.· Frontiers in Neuroscience· 0 citations
The issue of neural activity of memory manifestation in the circuits between hippocampal and cortical neurons; the computational decoding algorithms, which transform the population-level allocation of neurons into intelligible cognitive terminologies; and the uses of the algorithms in creating closed-loop BMI systems i...
E. Gao· Proceedings of the 4th Inter...· 0 citations
A high-performance hardware implementation of large-scale neuromorphic system to investigate anesthetic-induced neural dynamics and paves the way for advanced brain–machine interfaces and closed-loop anesthetic delivery systems.
Chuan-Guang Wang, Xiao-Tian Pan, Si Chen et al.· Frontiers in Systems Neurosc...· 0 citations
To make implantable Brain Machine Interfaces systems wireless, it is necessary to use data compression given the limited bandwidth and power budget of implants. A recently popular method that tries to exploit the spatiotemporal sparsity of biological action potentials (AP) is the neuro-inspired conversion of analog sig...
P. Sun, Ye Ke, Arindam Basu· Neuromorphic Computing and E...· 0 citations
This research is developing OECT-based integrated circuits that combine sensing, amplification, and wireless operation within a soft platform, enabling simultaneous recording, stimulation, and modulation of neural activity across the brain–body axis.
Claudia Cea· Organic and Hybrid Sensors,...· 0 citations
The study stresses the necessity of embedding relational autonomy and neural rights into BCI development, tying technological trajectories to governance demands in order to shape responsible paths for future neurotechnologies.
Yu-Zhang Wu· Theoretical and Natural Scie...· 0 citations
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