Particle.news

Download on the App Store

Two Circuit Shifts Explain How the Brain Learns to See After Eyes Open

The Neuron study finds visual experience sharpens feedforward signals, aligning them with existing modular circuits.

Overview

  • In visually naive animals, feedforward inputs do not match modular responses, producing inconsistent patterns to the same stimuli.
  • Recordings and computational modeling predicted two requirements for reliable perception: greater discriminability of layer 4 inputs and alignment with recurrent layer 2/3 connectivity, both confirmed experimentally.
  • After experience, interconnected modules respond to the same features, yielding stable, coherent representations across layers and time.
  • Pre-existing modular activity is present before eye opening, which the authors say primes rapid and efficient learning once vision begins.
  • The team now aims to pinpoint the synaptic wiring changes that drive this alignment and to test whether the mechanism generalizes beyond vision.