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Abstract:
We present exact analytical equilibrium solutions for a class
of recurrent neural network models, with both sequential and
parallel neuronal dynamics, in which there is a tunable competition
between nearest-neighbour and long-range synaptic interactions.
This competition is found to induce novel coexistence phenomena as
well as discontinuous transitions between pattern recall states,
2-cycles and non-recall states.
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