Neuroscience has long relied on human-conceived hypotheses, yet the brain's complexity fundamentally challenges this epistemology. Modern technologies and the large-scale data collection they enable throw this challenge into sharp relief. We champion the potential of AI for neuroscience exploration. We highlight both implicit, 'uninterpretable' models as aids in hypothesis formulation and symbolic regression for explicit hypothesis generation. For researchers from non-neuroscience backgrounds, we discuss domain-specific considerations in integrating AI into neuroscience research. By spotlighting the underexplored avenues for AI to accelerate neuroscience, we aim to induce both communities toward these exciting research opportunities.