Memory reactivations and replay, widely reported in the hippocampus and cortex across
species, have been implicated in memory consolidation, planning, and spatial and skill …

Fiber photometry enables recording of population neuronal calcium dynamics in awake
mice. While the popularity of fiber photometry has grown in recent years, it remains unclear …

Recently, deep reinforcement learning (DRL) methods have achieved impressive
performance on tasks in a variety of domains. However, neural network policies produced …

Hippocampal place cells are a well-known object in neuroscience, but their place field
formation in the first moments of navigating in a novel environment remains an ill-defined …

Deep learning is a powerful tool for neural decoding, broadly applied to systems
neuroscience and clinical studies. Interpretable and transparent models that can explain …

Fiber photometry recordings are commonly used as a proxy for neuronal activity, based on
the assumption that increases in bulk calcium fluorescence reflect increases in spiking of the …

Understanding behavior from neural activity is a fundamental goal in neuroscience. It has
practical applications in building robust brain-machine interfaces, human-computer …