Neurocomputational underpinnings of suboptimal beliefs in recurrent neural network-based agents
Moorthy Ganeshkumar, Adam Manoogian, William Qian, Cengiz Pehlevan, Shawn A Rhoads
This paper develops a recurrent neural network-based reinforcement learning framework to model decision-making deficits in schizophrenia, revealing suboptimal belief updating linked to neural dysfunction.
Conference on Cognitive Computational Neuroscience (CCN) · Jan 1, 2025Peer-reviewedNeuroscience