Biophysical neurons, energy, and synapse controllability: a review

Journal of Zhejiang University. Science A, Journal Year: 2022, Volume and Issue: 24(2), P. 109 - 129

Published: Dec. 23, 2022

Language: Английский

---

Extreme multistability and phase synchronization in a heterogeneous bi-neuron Rulkov network with memristive electromagnetic induction

Cognitive Neurodynamics, Journal Year: 2022, Volume and Issue: 17(3), P. 755 - 766

Published: Aug. 6, 2022

Language: Английский

---

Creation of heterogeneity or defects in a memristive neural network under energy flow

Communications in Nonlinear Science and Numerical Simulation, Journal Year: 2023, Volume and Issue: 119, P. 107127 - 107127

Published: Jan. 18, 2023

Language: Английский

---

Transcranial direct current stimulation inhibits epileptic activity propagation in a large-scale brain network model

Science China Technological Sciences, Journal Year: 2023, Volume and Issue: 66(12), P. 3628 - 3638

Published: Nov. 20, 2023

Language: Английский

---

Dynamic modeling of neuromodulation techniques: Towards elaboration and individual specificity

EPL (Europhysics Letters), Journal Year: 2024, Volume and Issue: 145(3), P. 32001 - 32001

Published: Jan. 29, 2024

Abstract Neurological disorders place a significant burden on patients, their families, and society, posing immense scientific challenges in terms of treatment mechanistic research. Neuromodulation involves the application invasive or non-invasive technologies to externally manipulate nervous system brain, aiming provide excitatory inhibitory modulation that can improve abnormal neural activity. In previous studies, neurodynamic analysis methods have not only provided novel tools for study neuromodulation techniques, but also new strategies diagnosis neurological diseases. this paper, we present brief overview current state dynamic modeling various including electrical, optical, magnetical, ultrasonic approaches, discuss future prospects developments neuromodulation.

Language: Английский

---

Collective behaviors of fractional-order FithzHugh–Nagumo network

Physica A Statistical Mechanics and its Applications, Journal Year: 2024, Volume and Issue: 639, P. 129673 - 129673

Published: March 11, 2024

Language: Английский

---

Unveiling serotonergic dysfunction of obsessive-compulsive disorder on prefrontal network dynamics: a computational perspective

Cerebral Cortex, Journal Year: 2024, Volume and Issue: 34(6)

Published: June 1, 2024

Abstract Serotonin (5-HT) regulates working memory within the prefrontal cortex network, which is crucial for understanding obsessive-compulsive disorder. However, mechanisms how network dynamics and serotonin interact in disorder remain elusive. Here, we incorporate 5-HT receptors (5-HT1A, 5-HT2A) dopamine into a multistable model, replicating experimentally observed inverted U-curve phenomenon. We show two antagonize neuronal activity modulate multistability. Reduced binding of 5-HT1A increases global firing, while reduced 5-HT2A deepens attractors. The obtained results suggest reward-dependent synaptic plasticity may attenuate related impairments. Integrating serotonin-mediated release circuit, observe that decreased concentration triggers deep attractor state, expanding domain attraction stable nodes with high firing rate, potentially causing aberrant reverse learning. This suggests hypothesis wherein elevated concentrations might result from primary deficits levels. Findings this work underscore pivotal role serotonergic dysregulation modulating through pathways, contributing to learned obsessions. Interestingly, reuptake inhibitors antidopaminergic potentiators can counteract over-stable state high-firing points, providing new insights treatment.

Language: Английский

---

Exploring attentional modulation of SSVEPs via large-scale brain dynamics modeling

Nonlinear Dynamics, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 6, 2025

Language: Английский

---

The nexus between connectivity, climate, and land use: A scenario assessment of bio-energy landscape connectivity in central Italy

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 376, P. 124521 - 124521

Published: Feb. 15, 2025

The complex interplay between landscape connectivity, climate fluctuations, and land use transformations profoundly affects ecosystem health, functionality, human well-being on a global scale. However, these interconnected issues are often not addressed collectively in studies, conservation strategies, or plans, particularly at the This paper introduces, for first time CCL Nexus - an integrated approach to studying Connectivity, Climate, Land use/cover change relationship better understand resolve dynamics. Additionally, PANDORA model implementation is presented simulate coupled scenarios across different intervals. aim assess their combined effects bio-energy connectivity from 2001 2020 with projections into future (2041-2060 2081-2100) based scenarios. Results show that while (i.e., increased aridity leading decline vegetation metabolism yield due water stress) have modest impact, changes, urbanization, significantly affect connectivity. Conversely, naturalization scenario appears insufficient counterbalance simulated urban growth. These findings highlight need localized approaches planning address challenges effectively. Furthermore, they shed light both potential limitations of unraveling complexities nexus Mediterranean landscapes. Overall, study advocates integrating concept comprehensive multilevel frameworks promote biodiversity enhance socio-ecological system sustainability resilience.

Language: Английский

---

Estimation of the effect of magnetic field on a memristive neuron

Applied Mathematics and Computation, Journal Year: 2022, Volume and Issue: 432, P. 127366 - 127366

Published: July 4, 2022

Language: Английский

---