The CAN-In network: a biologically-inspired model for self-sustained theta oscillations and memory maintenance in the hippocampus

Francesco Giovannini 1 Beate Knauer 2, 3 Motoharu Yoshida 2 Laure Buhry 1
1 NEUROSYS - Analysis and modeling of neural systems by a system neuroscience approach
Inria Nancy - Grand Est, LORIA - AIS - Department of Complex Systems, Artificial Intelligence & Robotics
Abstract : During working memory tasks, the hippocampus exhibits synchronous theta-band activity, which is thought to be correlated with the short-term memory maintenance of salient stimuli. Recent studies indicate that the hippocampus contains the necessary circuitry allowing it to generate and sustain theta oscillations without the need of extrinsic drive. However, the cellular and network mechanisms supporting synchronous rhythmic activity are far from being fully understood. Based on electro- physiological recordings from hippocampal pyramidal CA1 cells, we present a possible mechanism for the maintenance of such rhythmic theta-band activity in the isolated hippocampus. Our model net- work, based on the Hodgkin-Huxley formalism, comprising pyramidal neurons equipped with calcium- activated non-specific cationic (CAN) ion channels, is able to generate and maintain synchronized theta oscillations (4 - 12Hz), following a transient stimulation. The synchronous network activity is maintained by an intrinsic CAN current (ICAN), in the absence of constant external input. The analysis of the dynamics of model networks of pyramidal-CAN and interneurons (CAN-In) reveals that feedback inhibition improves the robustness of fast theta oscillations, by tightening the synchro- nisation of the pyramidal CAN neurons. The frequency and power of the theta oscillations are both modulated by the intensity of the ICAN, which allows for a wide range of oscillation rates within the theta band. This biologically plausible mechanism for the maintenance of synchronous theta oscil- lations in the hippocampus aims at extending the traditional models of septum-driven hippocampal rhythmic activity.
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https://hal.archives-ouvertes.fr/hal-01426362
Contributeur : Laure Buhry <>
Soumis le : mercredi 4 janvier 2017 - 14:12:43
Dernière modification le : jeudi 5 octobre 2017 - 09:40:01
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Francesco Giovannini, Beate Knauer, Motoharu Yoshida, Laure Buhry. The CAN-In network: a biologically-inspired model for self-sustained theta oscillations and memory maintenance in the hippocampus . Hippocampus, Wiley, 2017, 〈10.1002/hipo.22704〉. 〈hal-01426362v1〉

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