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Decoding memory features from hippocampal spiking activities using sparse classification models.

, , , , , и . EMBC, стр. 1620-1623. IEEE, (2016)

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Rolf-Walter Briant

Benoît Briand

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Generalized volterra kernel model identification of spike-timing-dependent plasticity from simulated spiking activity., , и . EMBC, стр. 6585-6588. IEEE, (2014)The contribution of relative activation levels between populations of cells to network activity in a large-scale biologically realistic model of the hippocampus., , , , и . EMBC, стр. 5962-5965. IEEE, (2013)The role of topography in the transformation of spatiotemporal patterns by a large-scale, biologically realistic model of the rat dentate gyrus., , , , и . EMBC, стр. 5950-5953. IEEE, (2013)A sparse null code emerges in deep neural networks., , , и . UniReps, том 243 из Proceedings of Machine Learning Research, стр. 302-314. PMLR, (2023)Monte Carlo validation of spike-timing-dependent plasticity identification from spiking activity., , и . EMBC, стр. 1624-1627. IEEE, (2016)Implementation of activity-dependent synaptic plasticity rules for a large-scale biologically realistic model of the hippocampus., , , , и . EMBC, стр. 1366-1369. IEEE, (2012)Towards a large-scale biologically realistic model of the hippocampus., , , , и . EMBC, стр. 4595-4598. IEEE, (2012)Decoding memory features from hippocampal spiking activities using sparse classification models., , , , , и . EMBC, стр. 1620-1623. IEEE, (2016)A spiking network model for semantic representation and replay-based association acquisition., , , , , , и . ICONS, стр. 25:1-25:8. ACM, (2021)Phase component of frequency-domain functional near-infrared imaging improves decoding of motor-evoked neural activity., , , , , , и . NER, стр. 365-369. IEEE, (2021)