33 citations · 34 across the 3 of their papers we have counts for
4 papers
A latent control model for realistic rodent motion
Aidan Sirbu, Charles Y. Zhang, Yuanjia Yang +3
The development of embodied models of animal behavior is a major goal of the neuro-AI community. Embodied models will enhance our ability to make direct comparisons between biologi…
Reinforcement Learning on Cost-Constrained Quadrupedal Hardware
Javier C. Weddington, Bence P. Ölveczky, Stephen A. Baccus
Deploying learned control policies on low-cost robotic platforms introduces transport latencies and noisy motor feedback that systematically widens the sim-to-real gap. The chasm o…
Toward Next-Generation Artificial Intelligence: Catalyzing the NeuroAI Revolution
Anthony Zador, Sean Escola, Blake Richards +24
Neuroscience has long been an essential driver of progress in artificial intelligence (AI). We propose that to accelerate progress in AI, we must invest in fundamental research in…
Rules and mechanisms for efficient two-stage learning in neural circuits
Tiberiu Tesileanu, Bence Ölveczky, Vijay Balasubramanian
Trial-and-error learning requires evaluating variable actions and reinforcing successful variants. In songbirds, vocal exploration is induced by LMAN, the output of a basal ganglia…