Neuroscience × Artificial Intelligence
Tracing the architecture
of perception
Synaptic Trace is an exploration of how neuroscience research on human sensory processing could one day inform the way artificial intelligence handles sensory information — from the signal pathways of the nervous system to the massively parallel processing of the brain.
Explore the ConceptSensory Pathways
Human perception begins at the periphery: photoreceptors, hair cells, mechanoreceptors. Signals are transformed, filtered, and relayed along dedicated neural pathways long before they reach conscious awareness. Understanding these pathways offers a blueprint for how machines might structure the flow of raw sensory data.
Parallel Processing
The brain does not process the world one step at a time. Vision, sound, touch, and balance are handled simultaneously across billions of neurons, integrated into a single coherent experience. This parallel architecture stands in striking contrast to conventional computing — and may hold lessons for the next generation of AI systems.
From Biology to AI
Synaptic Trace aims to map findings from neuroscience research onto computational ideas — asking which principles of biological sensory processing translate, which do not, and what a machine that perceives more like a nervous system might eventually look like.
A concept in progress
Synaptic Trace is at an early, exploratory stage. The form it will ultimately take is still being shaped — and this page will grow as the idea does. For now, it stands as an introduction to a simple question: what can the human nervous system teach artificial intelligence about perceiving the world?
Coming Soon