Attractor neural networks with biological probe records

We present an attractor neural network which can associatively retrieve a variety of activity patterns encoded in the synaptic matrix between the excitatory neurons. The neurons are characterized by an absolute refractory period of 2 ms and would at saturation emit spikes at a rate of 500 s−1, yet the collective operation of the network allows stable retrieval performance at rates as low as 20–25 s−1. The network is presented as a model of increasingly realistic neurons assembled in a network with increasingly realistic output structures, on which a variety of experiments can be carried out.The types of features included are: continuous dynamics of the membrane potential except at spike emission; differentiation of excitatory and inhibitory operation; relative refractory period, due to post-spike hyperpolarization; membrane potential decay constants; uniform or random spike transmission delays; inhibition by hyperpolarization or by shunting; short and persistent stimuli, represented as synaptic currents i...

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