Topic: DeepMatch

To understand the neural basis of many cognitive processes, such as learning and memory, we need to track the millisecond, single-spike activity of neurons across days. However, compared to calcium imaging methods, tracking neurons in chronic electrophysiological recordings remains challenging. Recent studies have designed algorithms to do so, but mostly rely on engineered parameters that may not take advantages of the full complexity of the neuron’s electrophysiological waveform and miss or falsely match neurons. To go beyond these limitations, we developed DeepMatch, a deep neural network fr