Coherent noise enables probabilistic sequence replay in spiking neuronal networks.

ABSTRACT: Animals rely on different decision strategies when faced with ambiguous or uncertain cues. Depending on the context, decisions may be biased towards events that were most frequently experienced in the past, or be more explorative. A particular type of decision making central to cognition is sequential memory recall in response to ambiguous cues. A previously developed spiking neuronal network implementation of sequence prediction and recall learns complex, high-order sequences in an unsupervised manner by local, biologically inspired plasticity rules. In response to an ambiguous cue, the model deterministically recalls the sequence shown most frequently during training. Here, we present an extension of the model enabling a range of different decision strategies. In this model, explorative

SUBMITTER: Bouhadjar Y 

PROVIDER: S-EPMC10153753 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature