The hippocampus has been associated with both spatial cognition and episodic
memory formation, but integrating these functions into a unified framework
remains challenging. Here, we demonstrate that forming discrete memories of
visual events in sparse autoencoder neurons can produce spatial tuning similar
to hippocampal place cells. We then show that the resulting very
high-dimensional code enables neurons to discretize and tile the underlying
image space with minimal overlap. Additionally, we extend our results to the
auditory domain, showing that neurons similarly tile the frequency space in an
experience-dependent manner. Lastly, we show that reinforcement learning agents
can effectively perform various visuo-spatial cognitive tasks using these
sparse, very high-dimensional representations.

形成离散的视觉事件记忆可以在稀疏自编码神经元产生类似海马区位置细胞的空间调谐，并能在高维空间中以最小重叠的方式离散化和覆盖底层图像空间，同时在听觉领域也能类似地经验依赖性地覆盖频率空间，最后我们展示了强化学习代理能够有效地使用这些稀疏、高维表示执行各种视觉 - 空间认知任务。