Cognitive Neurodynamics

<title>Abstract</title> Cognitive impairment is one of the most functionally debilitating non-motor symptoms in Parkinson's disease (PD). Yet, current diagnostic and clinical practices rely heavily on subjective assessments and burdensome behavioral testing, which lack the temporal resolution to detect subtle deficits. While EEG and pupillometry offer promising non-invasive insights into cognitiv…

The brain's ability to detect unexpected events, deviance detection (DD), is critical for survival. While DD has been computationally explained by synaptic plasticity, the role of neuromodulators such as acetylcholine (ACh) remains less understood. Here, we examine how ACh modulates DD. Using a cholinergic-sensitive Hodgkin-Huxley network of 200 neurons arranged in 2D space and stimulated via fiv…

Abstract In order to gain a deeper understanding of nonlinear wave dynamics, soliton solutions play an important role. In this research, using suitable transformations, we rigorously examine a wide range of wave solutions for the nonlinear Murray equation, exhibiting new wave patterns, including lump, lump with one kink, lump with two kink, rogue waves, periodic, breathers and multi-waves solutio…

Abstract Musical performances, particularly in drumming, are characterized not only by their structured rhythmic patterns but also by the subtle variations in timing and amplitude series that create expressive complexity. This study proposes a neural-inspired computational model to investigate how the brain might learn and internalize such complex rhythms. Inspired by the established roles of the…

Abstract Social communication (SC) relies on the integration of linguistic processing, pragmatic inference, and theory of mind (ToM), yet its neural architecture remains insufficiently characterized. We propose and empirically test a unified SC network by integrating information neural graph theory metrics, multi-domain cognitive modeling, and autistic traits. Forty-five neurotypical adults compl…