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Increasing CS and US longevity increases the learnable trace interval.

, and . Neurocomputing, (2005)

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A simple spike train decoder inspired by the sampling theorem., and . Neural Comput., 8 (1): 67-84 (1996)Predicting the Distribution of Synaptic Strengths in a Self-Organizing, Sequence Prediction Model., and . Neural Comput., 10 (1): 25-58 (1998)Setting the Activity Level in Sparse Random Networks., and . Neural Comput., 6 (1): 85-99 (1994)Mutual Information and Parameter Estimation in the Generalized Inverse Gaussian Diffusion Model of Cortical Neurons., , and . IEEE Trans. Mol. Biol. Multi Scale Commun., 2 (2): 166-182 (2016)Context codes and the effect of noisy learning on a simplified hippocampal CA3 model., , and . Biol. Cybern., 74 (2): 159-165 (1996)A neural network solution to the transverse patterning problem depends on repetition of the input code., , and . Biol. Cybern., 79 (3): 203-213 (1998)Design principles and specifications for neural-like computation under constraints on information preservation and energy costs as analyzed with statistical theory., and . ISIT, page 2969-2972. IEEE, (2012)Information transfer by energy-efficient neurons., and . ISIT, page 1584-1588. IEEE, (2009)A neural network model of hippocampally mediated trace conditioning., and . ICNN, page 372-376. IEEE, (1997)Enhancing the performance of a hippocampal model by increasing variability early in learning., and . Neurocomputing, (1999)