Hebbian-inspired rewiring of a random network replicates pattern of selectivity seen in PFC
Responses of neurons in pre-frontal cortex (PFC) are very diverse and often depend on complex non-linear combinations of task-relevant variables (a property known as mixed selectivity). We recently showed that this type of selectivity is a signature of high dimensional neural representations and can be important for performing complex cognitive tasks. Previous modeling work has shown that mixed selectivity can arise when cells receive fixed random synaptic inputs from populations that represent the task-relevant variables. Here we show by analyzing the data that these simple models only partially explain the mixed selectivity observed in the data.
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Also Published In
- BMC Neuroscience