Xinhao Fan

Quantifying information stored in synaptic connections rather than in firing activities of neural networks

This paper develops a theoretical framework to quantify information stored in synaptic connections of neural networks, showing synergistic interactions among synapses.

Overt visual attention and value computation in complex risky choice

This study investigates decision-making under uncertainty by measuring overt attention and comparing models to predict choices in simple and complex tasks.

Contribute to balance, wire in accordance: Emergence of backpropagation from a simple, bio-plausible neuroplasticity rule

This paper proposes a neuroplasticity rule that mathematically replicates backpropagation in neural networks without requiring biologically implausible assumptions.