Topic: adaptive deep learning

The cholinergic system has been associated with learning, but also with cognitive decline in dementia, aging and injury. Yet, to date, no computational models have been put forward to explain how the cholinergic system contributes to both learning and cognitive decline. Here we introduce a model that combines a recently proposed model of cortex-wide credit assignment with a cholinergic adaptive module based on adaptive deep learning rules. According to this model, the cholinergic system opens a cortex-wide gate for learning, but its end effect is controlled by local adaptive processes. Using a

The cholinergic system has been associated with learning, but also with cognitive decline in dementia and aging. Yet, to date no computational models have been put forward to explain how the cholinergic system contributes to both learning and cognitive decline. Here we introduce a model that combines a recently proposed biologically plausible model of credit assignment with a cholinergic adaptive module based on adaptive deep learning rules. Using a multi-class perceptual discrimination task we show that cholinergic adaptive learning leads to rapid learning when compared with non-adaptive mode