Topic: temporal symmetric Hebbian associative memory

Sequential neural activity is hypothesized to underlie driven motor actions, memories of linked sequences of causal relationships, planning and reflection on navigation through environments, and the tracking of the passage of time, among other brain functions. Sequences arise in recurrent networks with asymmetric connectivity structures [1]. These models are of particular interest because they can be learned with biologically plausible temporal asymmetric Hebbian learning (TAH) rules, providing a foundation for modeling of sequential activity in neural circuits. In existing models, the time in