The prefrontal cortex (PFC) enables a staggering variety of complex behaviors, such as
planning actions, solving problems, and adapting to new situations according to external …

In the brain, patterns of neural activity represent sensory information and store it in non‐
random synaptic connectivity. A prominent theoretical hypothesis states that assemblies …

Attractor networks are an influential theory for memory storage in brain systems. This theory
has recently been challenged by the observation of strong temporal variability in neuronal …

We analyze the stability of linear dynamical systems defined on sparse, random graphs with
predator-prey, competitive, and mutualistic interactions. These systems are aimed at …

According to the commonly accepted opinion, memory engrams are formed and stored at
the level of neural networks due to a change in the strength of synaptic connections between …

Finding the form of synaptic plasticity is critical to understanding its functions underlying
learning and memory. We investigated an efficient method to infer synaptic plasticity rules in …

Fluctuations of synaptic weights, among many other physical, biological, and ecological
quantities, are driven by coincident events of two “parent” processes. We propose a …

The dynamical hypothesis states that cognitive systems are dynamical systems. While
dynamical systems play an important role in many cognitive phenomena, the dynamical …

Synaptic plasticity is widely thought to support memory storage in the brain, but the rules
determining impactful synaptic changes in-vivo are not known. We considered the trial-by …

Geometrically, a complex dynamical network (CDN) can be regarded as the interconnected
system composed of the node subsystem (NS) and the link subsystem (LS) coupled with …