Topic: dynamical model

Committing to a decision tends to bias future behaviors, a phenomenon dubbed “confirmation bias”. Daily life requires us to make decisions on remembered past experiences; still, the understanding of confirmation bias in working memory remains sparse. Here, we show that the stimulus-specific drift dynamics should be incorporated into any viable account of confirmation bias in working memory. We crafted a paradigm where participants view a grating briefly, make a binary decision on it, and estimate its orientation, with varying delays between those epochs. We developed a dynamical model wherein

Spatiotemporal properties of motor cortex neuronal activity have been extensively studied, with the interpretations of voluntary movement mechanisms being the key issue. Two competing models, representational and dynamical, explain the conversion of neuronal activity into limb movements. The dynamical model uses the joint PCA method, which holistically characterizes neuronal oscillations by maximizing data rotational features. Different interpretations tried to explain the presence of rotational dynamics in neuronal patterns (Fig. 1a, c). Yet, their exact nature remains poorly understood.Here