{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Vignoud G"],"funding":["U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences","NIGMS NIH HHS","National Science Foundation"],"pagination":["555"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11082161"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["7(1)"],"pubmed_abstract":["Spatio-temporal activity patterns have been observed in a variety of brain areas in spontaneous activity, prior to or during action, or in response to stimuli. Biological mechanisms endowing neurons with the ability to distinguish between different sequences remain largely unknown. Learning sequences of spikes raises multiple challenges, such as maintaining in memory spike history and discriminating partially overlapping sequences. Here, we show that anti-Hebbian spike-timing dependent plasticity (STDP), as observed at cortico-striatal synapses, can naturally lead to learning spike sequences. We design a spiking model of the striatal output neuron receiving spike patterns defined as sequential input from a fixed set of cortical neurons. We use a simple synaptic plasticity rule that combine"],"journal":["Communications biology"],"pubmed_title":["Anti-Hebbian plasticity drives sequence learning in striatum."],"pmcid":["PMC11082161"],"funding_grant_id":["R01GM152811","R01 GM152811","DMS 1951369"],"pubmed_authors":["Touboul JD","Vignoud G","Venance L"],"additional_accession":[]},"is_claimable":false,"name":"Anti-Hebbian plasticity drives sequence learning in striatum.","description":"Spatio-temporal activity patterns have been observed in a variety of brain areas in spontaneous activity, prior to or during action, or in response to stimuli. Biological mechanisms endowing neurons with the ability to distinguish between different sequences remain largely unknown. Learning sequences of spikes raises multiple challenges, such as maintaining in memory spike history and discriminating partially overlapping sequences. Here, we show that anti-Hebbian spike-timing dependent plasticity (STDP), as observed at cortico-striatal synapses, can naturally lead to learning spike sequences. We design a spiking model of the striatal output neuron receiving spike patterns defined as sequential input from a fixed set of cortical neurons. We use a simple synaptic plasticity rule that combine","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 May","modification":"2026-06-02T10:34:43.032Z","creation":"2026-05-27T03:07:36.8Z"},"accession":"S-EPMC11082161","cross_references":{"pubmed":["38724614"],"doi":["10.1038/s42003-024-06203-8"]}}