Topic: evolutionary algorithm

The Late Positive Potential (LPP) is an event-related potential (ERP) component recorded over centroparietal electrode sites, which becomes more positive in amplitude when participants attend and process visually-presented stimuli. The LPP is sensitive to the emotional intensity of the stimuli, its amplitudes increasing for emotionally-arousing stimuli. Here we asked whether the LPP data from participants encoding lists of emotional and neutral pictures improve the fit of the eCMR (emotional Context Maintenance and Retrieval model) of free recall to empirical data acquired from healthy adults.

Contrary to typical artificial neural network (ANN) design, biological neurons are not identical. Neurons differ substantially in their physiological properties. Heterogeneity has been hypothesized to increase the dimensionality of the neural dynamics, which improves the encoding properties of a network [1], promotes robustness and stability [2], and maximizes information flow in large networks [3]. We aim to show the functional effect of heterogeneity in rate-based recurrent neural networks. To vary the degree of heterogeneity, we introduce neuron types, with each neuron type having its own