Using the concepts of chaotic dynamical systems, we present an interpretation of dynamic
neural activity found in cortical and subcortical areas. The discovery of chaotic itinerancy in …

Free recall and recognition are simulated in a network model of the hippocampal formation,
incorporating simplified simulations of neurons, synaptic connections, and the effects of …

Acetylcholine is vital for cognitive functions of the brain. Although its actions in the individual
cell are known in some detail, its effects at the network level are poorly understood. The …

Acetylcholine (ACh) is a neuromodulatory transmitter implicated in perception and learning
under uncertainty. This study combined computational simulations and pharmaco …

This research focuses on linking episodic memory function to the cellular physiology of
hippocampal neurons, with a particular emphasis on modulatory effects at cholinergic and γ …

A train of action potentials (a spike train) can carry information in both the average firing rate
and the pattern of spikes in the train. But can such a spike-pattern code be supported by …

The medial temporal lobe (MTL) and the prefrontal cortex (PFC) are known to be critical
structures for human memory processes. Furthermore, it has been suggested that they are …

There is some complementarity of models for the origin of the electroencephalogram (EEG)
and neural network models for information storage in brainlike systems. From the EEG …

Fast oscillations in neural assemblies have been proposed as a mechanism to facilitate
stimulus representation in a variety of sensory systems across animal species. In the …

We present a neural mass model of steady-state membrane potentials measured with local
field potentials or electroencephalography in the frequency domain. This model is an …