Topic: in vivo spiking data

Brain networks have the remarkable ability to adapt to neuron loss; however, little is known about how population spiking activity is affected quantitatively and even less is known about how populations adapt to restore behavior. Here, we analyzed the impact of neuron loss on population correlation structure using numerical simulations, a spiking neural network model, and in vivo spiking data from a lesion technique in which focal neuron loss is created through chronically implanted electrode arrays in awake-behaving animals. This easily-repeated perturbation allows neuroscientists to track t