Abstract
In Chap. 1, Eberhard Fetz describes his joint work with his thesis advisor, George Gerstein, introducing the leaky-integrate-and-fire (LIF) neuron with noise input as one of the first stochastic models of a neuron’s spiking activity. In addition, he refers to a class of random walk models with absorbing barrier, introduced by Gerstein and Mandelbrot, as another early influential model of neuron’s spiking activity. As an aside, he describes how he used the LIF model in later experimental work to control the reward of monkeys in operant conditioning experiments, using the recorded cortical spiking activity as input to the model.
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Fetz, E. (2023). Leaky Integrate and Fire Neurons. In: Aertsen, A., Grün, S., Maldonado, P.E., Palm, G. (eds) Introducing Computation to Neuroscience . Springer Series in Computational Neuroscience. Springer, Cham. https://doi.org/10.1007/978-3-030-87447-6_1
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