The ghost is the machine
The brain is the most complex object we know. But until recently, decoding it meant slow scans, sparse signals, and noisy interpretations.
In brain imaging, convolutional models enhance fMRI resolution and extract real-time activity maps. In neuroprosthetics, transformer architectures translate neural spikes into motor commands—allowing paralyzed individuals to control robotic limbs with thought.
AI helps researchers discover patterns in massive EEG datasets, simulate neural circuits, and predict outcomes of pharmaceutical interventions. In psychiatric applications, language models are now used to flag early signs of mood disorder relapse.
For the first time, we can model mental illness not as labels, but as dynamic systems—shifting, trackable, intervenable.
With AI, the brain is no longer a black box—it’s becoming a readable, influenceable system.
