Path classification by stochastic linear recurrent neural networks

no code implementations • 6 Aug 2021 • Wiebke Bartolomaeus, Youness Boutaib, Sandra Nestler, Holger Rauhut

We investigate the functioning of a classifying biological neural network from the perspective of statistical learning theory, modelled, in a simplified setting, as a continuous-time stochastic recurrent neural network (RNN) with identity activation function.

Classification Learning Theory