A recent multi-institutional study, “Formation of Brain-Wide Neural Geometry During Visual Item Recognition in Monkeys”, led by Dr. Hiroshi Yamada (University of Tsukuba), provides a striking new view of how the brain transforms visual input into memory. By analyzing the activity of 2,500 neurons across 10 brain regions, the team revealed that different areas encode visual information through distinct neural geometries, rotational, curvy, and straight trajectories, each reflecting a unique stage of processing.
Notably, in Experiment 1, the researchers employed NeuroNexus V1x16-Edge 16-channel microelectrode arrays to record hippocampal neuron activity. These high-resolution probes enabled the detection of straight-line geometric patterns in downstream memory circuits, shedding light on how the brain accesses and stores visual information.
This study underscores the power of dimensionality-reduction techniques in neuroscience and highlights how high-density neural recording tools, like those from NeuroNexus, are helping decode the dynamic logic of the brain.
