Christopher J. Cueva Source Confirmed

OverviewAI-generated summary

Dr. Christopher Cueva investigates neural dynamics and brain function, employing neural networks and reservoir computing techniques. His research explores memory and neural mechanisms, with a focus on advanced computing approaches. Cueva's work has illuminated emergent neural dynamics and geometry within the context of generalization in transitive inference tasks. He also studies the limitations of working memory capacity in sensory-cognitive models, and has developed recurrent neural network models for working memory of continuous variables, examining activity manifolds, connectivity patterns, and dynamic codes. Additionally, Cueva contributed to the development of NeuroGym, an open resource intended to facilitate the development and sharing of neuroscience tasks.

Metrics

• h-index: 11
• Publications: 29
• Citations: 943