Purkinje cell activity during classical conditioning with different conditional stimuli explains central tenet of Rescorla–Wagner model

By A. Rasmussen, R. Zucca, F. Johansson, Dan-Anders Jirenhed, Germund Hesslow. 2015

17 citations recorded by the source corpus.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience, Molecular Biology

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cognitive Neuroscience

1. Chunyan Miao
2. Hanwang Zhang

In Molecular Biology

1. Chunyan Miao
2. Hanwang Zhang

Citations in the corpus

• Distilling Causal Effect of Data in Class-Incremental Learning (2021, background): “In most practical scenarios, the training data are streamed and thus the systems cannot store all the learning history: for animate systems, the neurons are genetically designed to forget old stimuli to save energy [6, 34]; for machines, old data and parameters are discarded due to limited storage, ”