Inside each sell is gene regulatory network (GRN). Active genes produce proteins. Some of those proteins increase or decrease activity of genes. GRN as a whole can be modeled as stochastic recurrent neural network.
The potential for computation inside each neuron is similar to recurrent neural network.
Except the clock is ticking every 30 minutes in that network. it's too slow for behavior. GRNs are relevant to long-term plasticity which is protein-dependent and has prominent modulators (e.g. CREB)
The potential for computation inside each neuron is similar to recurrent neural network.