Motoneurons are known to possess the latent ability to amplify their inputs in a voltage-dependent manner. Additionally, this synaptic amplification is known to be under neuromodulatory control. This paper presents results from a computer modeling study for one possible mechanism, termed electrotonic compression, which could underlie this behavior.
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http://dx.doi.org/10.1109/IEMBS.2006.260838 | DOI Listing |
Am J Neurodegener Dis
December 2024
Department of Radiology, Carver College of Medicine, University of Iowa Iowa, IA 52242, USA.
Objectives: This study aims to explore the capabilities of dendritic learning within feedforward tree networks (FFTN) in comparison to traditional synaptic plasticity models, particularly in the context of digit recognition tasks using the MNIST dataset.
Methods: We employed FFTNs with nonlinear dendritic segment amplification and Hebbian learning rules to enhance computational efficiency. The MNIST dataset, consisting of 70,000 images of handwritten digits, was used for training and testing.
Biomarkers
January 2025
Hacettepe University, Faculty of Medicine, Deparment of Medical Oncology, Ankara, Turkey.
Background: Dynamins are defined as a group of molecules with GTPase activity that play a role in the formation of endocytic vesicles and Golgi apparatus. Among them, DNM3 has gained recognition in oncology for its tumor suppressor role. Based on this, the aim of this study is to investigate the effects of the DNM3 gene in patients diagnosed with pancreatic cancer using bioinformatics databases.
View Article and Find Full Text PDFCogn Neurodyn
December 2024
State Key Laboratory for Strength and Vibration of Mechanical Structures, School of Aerospace Engineering, Xi'an Jiaotong University, No.28 Xianning West Road, Xi'an, 710049 People's Republic of China.
This research scrutinizes the simultaneous evolution of each layer within a multilayered complex neural network and elucidates the effect of synaptic plasticity on inter-layer dynamics. In the absence of synaptic plasticity, a predominant feedforward effect is observed, resulting in the manifestation of complete synchrony in deep networks, with each layer assuming a chimera state. A significant increase in the number of synchronized neurons is observed as the layers augment, culminating in complete synchronization in the deeper sections.
View Article and Find Full Text PDFCogn Neurodyn
December 2024
School of Information Science and Engineering, Dalian polytechnic University, Dalian, 116034 China.
Two types of neuron models are constructed in this paper, namely the single discrete memristive synaptic neuron model and the dual discrete memristive synaptic neuron model. Firstly, it is proved that both models have only one unstable equilibrium point. Then, the influence of the coupling strength parameters and neural membrane amplification coefficient of the corresponding system of the two models on the rich dynamical behavior of the systems is analyzed.
View Article and Find Full Text PDFIntegr Psychol Behav Sci
December 2024
Tehran University of Medical Sciences, Tehran, Iran.
According to the QBIT theory, consciousness depends on the emergence of macroscopic coherence in a specific intracellular substrate which registers and processes sensory information. This occurs in a particular neuronal compartment called the axon initial segment which has unique properties not found in other neuronal segments. These unique properties allow the integration of synaptic inputs, amplification of sensory signals, and spontaneous emergence of coherence which is necessary for conscious perception.
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