Research has made progress in estimating and providing biofeedback on single-neuron firing rates using local field potentials in real-time. This development may have implications for brain computer interfaces and neural activity analysis. Studies are exploring various aspects of neural activity, including spike reconstruction, spatial working memory, and network activity reconfiguration, using techniques such as machine learning and memristor networks.