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Many brain areas exhibit extensive recurrent connectivity.
The gain fields arise naturally from the recurrent connectivity that is a characteristic of cortical circuitry.
Sparse, recurrent connectivity is typically implemented with simple statistical wiring rules.
The extensive recurrent connectivity of the CA3 area of hippocampus has led to suggestions that it might provide this function.
Ideally, the recurrent connectivity within these systems is self-organized by a time-dependent phase-locking mechanism.
Here, we review three organizational principles – recurrent connectivity, interlaminar connectivity and modular organization – and propose how each of them might contribute to the emergence and maintenance of positional representations in entorhinal neural networks.
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The activity in the cortical network -originated either from sensory inputs or emergent from the recurrent connectivity- has an impact on different properties of the network itself, such as on the intrinsic properties of neurons [8], [9] and on the short term plasticity of its synaptic connections [10] [15].
Different recurrent connection strategies, diagonal recurrent and full connected recurrent ones, were considered.
Anatomical investigations have shown that interregional connectivity is highly reciprocal [ 9, 10] and such recurrent connections have an important role in modulating visual and auditory sensory stimuli [ 11, 12].
Such activity might reflect an enhanced cellular excitability or recurrent synaptic connectivity, both of which should favor hippocampal epileptiform activity.
The primary involvement of the hippocampus is supported by the higher frequency of spontaneous synchronous activities observed in the Dcx KO CA3 region in vitro, combined with a lower threshold for interictal-like activities in the presence of bicuculline, suggesting enhanced neuronal excitability or recurrent synaptic connectivity of CA3 pyramidal cells.
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