Saleh Esteki

This study shows how reward context is encoded through geometric shifts in neural representations, enabling rapid decision adjustments during learning.

The paper develops a framework to predict the effects of neural perturbations using functional causal flow inferred from resting state activity in monkeys.

This paper introduces a probabilistic neural model inspired by sparse random connectivity that efficiently estimates spiking patterns in neural circuits and outperforms existing models.