ePoster · Computational Neuroscience
Enhancing the causal predictive power in recurrent network models of neural dynamics
Jiayi Zhang, Tatiana Engel · COSYNE 2025
Targeted photostimulation optogenetics offers unprecedented precision in perturbing neural circuits in action. However, due to the complexity of neural responses, perturbing neurons chosen randomly or based on their task selectivity often produces weak or counter-intuitive effects. Recurrent neural networks (RNNs) trained to replicate neural activity and task behavior hold promise for guiding the design of targeted perturbations. Yet, it remains uncertain whether low-dimensional neural responses during cognitive tasks sufficiently constrain high-dimensional models to predict outcomes of patter