We classify connected 3-node restricted excitatory-inhibitory networks, extending our previous paper (Aguiar et al., 2024). We assume that there are two node-types and two arrow-types, excitatory and inhibitory; all excitatory arrows are identical and all inhibitory arrows are identical; and excitatory (resp. inhibitory) nodes can only output excitatory (resp. inhibitory) arrows. The classification is performed under the following two network perspectives: ODE-equivalence and minimality; and valence ≤2. The results of this and the previous work constitute a first step towards analysing dynamics and bifurcations of excitatory-inhibitory networks and have potential applications to biological network models.
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http://dx.doi.org/10.1016/j.mbs.2024.109372 | DOI Listing |
Alzheimers Dement
December 2024
Department of Bioengineering, University of California, Los Angeles, CA, USA, Los Angeles, CA, USA.
Background: Alzheimer's disease (AD) is characterized by cognitive decline and increased seizure susceptibility due to brain damage and neural disruptions. This study examines the relationship between cognitive deterioration and seizure pathology in hAPP-J20 transgenic Alzheimer's mice, a model known for amyloid plaque deposition and heightened seizure activity.
Method: We observed hAPP-J20 mice aged 8 to 28 weeks using long-term wireless telemetry to assess hippocampal local field potential, sampled at 2 kHz.
Alzheimers Dement
December 2024
New York University Grossman School of Medicine, New York, NY, USA.
Background: Abnormal neuronal activity was observed in awake and behaving tauopathy mice using two-photon calcium imaging. Our previous study has revealed the relationship between tau pathology and altered neuronal calcium dynamics within the motor cortex of JNPL3 tauopathy mice at different stages of disease progression, specifically at 6 and 12 months of age (Wu Q et al, Neurobiol. Dis.
View Article and Find Full Text PDFMath Biosci
December 2024
Mathematics Institute, University of Warwick, Coventry CV4 7AL, United Kingdom. Electronic address:
We classify connected 3-node restricted excitatory-inhibitory networks, extending our previous paper (Aguiar et al., 2024). We assume that there are two node-types and two arrow-types, excitatory and inhibitory; all excitatory arrows are identical and all inhibitory arrows are identical; and excitatory (resp.
View Article and Find Full Text PDFHeliyon
December 2024
Guangdong Institute of Intelligence Science and Technology, Hengqin, Zhuhai, 519031, Guangdong, China.
Introduction: Transcranial electrical stimulation (tES), including transcranial alternating current stimulation (tACS) and transcranial direct current stimulation (tDCS), is widely studied for its potential to modulate brain oscillations and connectivity, offering treatment options for neurological disorders like Alzheimer's, Parkinson's, and insomnia. In this study, we focus on investigating the efficacy of tACS and tDCS in entraining intrinsic cortical network oscillations through a computational model.
Materials And Methods: We developed a 2D computational cortical neuron model with 2000 neurons (1600 pyramidal and 400 inhibitory), based on the Izhikevich neuron model.
ArXiv
November 2024
Laboratoire de Neurosciences Cognitives et Computationnelles, INSERM U960.
Networks of excitatory and inhibitory (EI) neurons form a canonical circuit in the brain. Seminal theoretical results on dynamics of such networks are based on the assumption that synaptic strengths depend on the type of neurons they connect, but are otherwise statistically independent. Recent synaptic physiology datasets however highlight the prominence of specific connectivity patterns that go well beyond what is expected from independent connections.
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