Marko A. Ruslim

Emergence of Sparse Coding, Balance and Decorrelation from a Biologically-Grounded Spiking Neural Network Model of Learning in the Primary Visual Cortex

This study shows that a biologically grounded spiking neural network model of V1 learning exhibits sparse coding, balance, and decorrelation as emergent properties.

Learning spatio-temporal V1 cells from diverse LGN inputs

This study uses a sparse coding model to show that spatio-temporal properties of V1 cells emerge from learning diverse LGN inputs through synaptic plasticity.