Generic fitting models learn edge representations from prenatal retinal waves

Puntos clave

• Key findings indicate that generic fitting models capture edge representations from retinal waves, enhancing understanding of neural encoding.
• The analysis shows the learning of edge representations by models trained on data driven from prenatal retinal waves, potentially influencing visual processing.
• This analysis involves assessing neural encoding throughout prenatal development, highlighting the importance of biological signals in vision.
• Understanding these mechanisms may enable advancements in neurodevelopmental studies and technologies aimed at visual processing.