Emergent computations in trained artificial neural networks and real brains

Synaptic plasticity allows cortical circuits to learn new tasks and adapt changing environments. How do use acquire functions such as decision-making or working memory? Neurons are connected in complex ways, forming recurrent neural networks, learning modifies the strength of their connections. Moreover, neurons communicate emitting brief discrete electric signals. Here we describe how train networks like those used animals neuroscience laboratories, computations emerge trained networks. Surprisingly, artificial real brains can similar computational strategies.