Stakeholders such as Neuralink and academic labs advance high-bandwidth brain-computer interfaces leveraging AI to decode and simulate neural patterns. By implanting microelectrode arrays and applying machine learning algorithms to real-time neural signals, they seek to emulate cognitive processes digitally for virtual afterlives and neurological therapies.

Key points

• Invasive microelectrode BCI platforms record motor and cognitive signals via implanted arrays, enabling thought-based device control.
• AI-driven deep learning decodes and synthesizes neural spike patterns to emulate basic brain functions and create digital consciousness frameworks.
• Whole-brain emulation research faces massive computational demands, requiring exascale resources to simulate 86 billion neurons and dynamic synaptic connectivity.

Why it matters: This convergence of AI and BCIs could revolutionize consciousness research, unlocking new therapeutic strategies and redefining digital life preservation.