Topic: recurrent network dynamics

The brain’s limited information processing capacity leads to competition among concurrent inputs at the neuronal level. Selective attention is a cognitive process that resolves this competition by filtering out irrelevant sensory information while enhancing the neural representation of relevant stimuli. This phenomenon is well-explained by the theory of biased competition, which posits that attention biases neural processing towards behaviorally relevant stimuli when multiple objects are present. However, the mechanism of attention remains under debate. We show how biased competition can be so

The brain’s limited information processing capacity leads to competition among concurrent inputs at the neuronal level. Selective attention is a cognitive process that resolves this competition by filtering out irrelevant sensory information while enhancing the neural representation of relevant stimuli. This phenomenon is well-explained by the theory of biased competition, which posits that attention biases neural processing towards relevant stimuli when multiple objects are present. However, the mechanism of attention remains under debate. We show how biased competition can be solved in a bio