Article
Engineering, Mechanical
Dong Yu, Lijian Yang, Xuan Zhan, Ziying Fu, Ya Jia
Summary: In this work, a new method for designing logic circuits by mapping the output of a stochastic Hodgkin-Huxley neuron system to logic gate operations is reported. Logical stochastic resonance is achieved and low energy consumption is observed, indicating that HH neurons are excellent building blocks for logic circuits. The mechanisms underlying these findings are interpreted using bifurcation and phase plane diagrams. A neuronal network is constructed to improve the reliability of logic gates, where synaptic currents modulate the performance by regulating the switching time between steady states. Possible schemes for enhancing the reliability of logic gates are also discussed.
NONLINEAR DYNAMICS
(2023)
Article
Cell Biology
Luca Franchini, Jennifer Stanic, Marta Barzasi, Elisa Zianni, Daniela Mauceri, Monica Diluca, Fabrizio Gardoni
Summary: This study demonstrates a key role for Rph3A in the modulation of structural synaptic plasticity at hippocampal synapses, which correlates with its interactions with both NMDARs and AMPARs.
Article
Physics, Multidisciplinary
Haiyou Deng, Rong Gui, Yuangen Yao
Summary: Logical resonance has been demonstrated in the HH neuron and can be influenced by temperature. These findings provide insights for constructing energy-efficient neuron-based logical devices.
Article
Multidisciplinary Sciences
Jonathan E. Tullis, Olivia R. Buonarati, Steven J. Coultrap, Ashley M. Bourke, Erika L. Tiemeier, Matthew J. Kennedy, Paco S. Herson, K. Ulrich Bayer
Summary: The GluN2BDCaMKII mutation abolishes phosphorylation by CaMKII and DAPK1, potentially mediating neuroprotection through disruption of phosphorylation. However, S1303 phosphorylation was not increased by excitotoxic insults in hippocampal slices or global cerebral ischemia induced by cardiac arrest and cardiopulmonary resuscitation in vivo. In hippocampal cultures, S1303 phosphorylation was induced by chemical LTD but not LTP stimuli.
Article
Biochemistry & Molecular Biology
Denis P. Laryushkin, Sergei A. Maiorov, Valery P. Zinchenko, Valentina N. Mal'tseva, Sergei G. Gaidin, Artem M. Kosenkov
Summary: This study investigates the role of ionotropic glutamate receptors (iGluRs) in the generation of paroxysmal depolarization shift (PDS) and the dependence of PDS pattern on neuronal membrane potential. The results show that external stimuli play a crucial role in PDS induction. AMPA receptors are necessary for PDS generation, while NMDA and kainate receptors modulate paroxysmal activity. Agonists of G(i)-coupled receptors suppress PDS generation, suggesting a potential approach for epilepsy pharmacotherapy.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2023)
Review
Biochemistry & Molecular Biology
Maria Italia, Elena Ferrari, Monica Diluca, Fabrizio Gardoni
Summary: A prominent feature of neurodegenerative diseases is synaptic dysfunction and spine loss. Misfolded proteins, such as tau and alpha-synuclein, play a critical role in driving synaptic toxicity at excitatory glutamatergic synapses. Understanding the role of these proteins in impairing the function of glutamate receptors can provide insights into the pathology of neurodegenerative diseases.
Article
Engineering, Biomedical
Siddhant Kumarapuram, Ansley J. Kunnath, Anton Omelchenko, Nada N. Boustany, Bonnie L. Firestein
Summary: The stiffness of substrates affects mitochondrial characteristics and dendritic morphology of neurons, with glutamate receptors playing a crucial role in mediating these effects. Neurons grown on softer substrates have smaller and simpler dendritic mitochondria, while neurons grown on stiffer substrates exhibit larger, more complex dendritic mitochondria. The manipulation of NMDA and AMPA receptors on neurons grown on stiffer substrates leads to mitochondrial characteristics resembling those of neurons grown on softer substrates, indicating the important regulatory roles of glutamate receptors in response to substrate stiffness.
ANNALS OF BIOMEDICAL ENGINEERING
(2022)
Article
Physics, Multidisciplinary
Xueqin Wang, Dong Yu, Tianyu Li, Ya Jia
Summary: This paper investigates the phenomenon of logical stochastic resonance in Hodgkin-Huxley neurons under electromagnetic effects. It is found that appropriately reducing the magnitude of the external bias current allows Hodgkin-Huxley neurons to perform reliable logic operations while consuming less energy. Additionally, an appropriate increase in coupling strength in neuronal networks has a favorable impact on system logic operations. Small-world networks outperform scale-free networks for logical operations.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2023)
Article
Biochemistry & Molecular Biology
Rostislav A. Sokolov, Irina V. Mukhina
Summary: Calcium is a crucial intracellular messenger in the brain that regulates various cell processes. In this study, the researchers used a fluorescent probe to investigate spontaneous Ca2+ events (SCEs) in neurons during culture maturation. They found that SCEs exhibited three different amplitude distributions and were dependent on extracellular Ca2+, neuronal network activity, and specific receptors and channels.
ARCHIVES OF BIOCHEMISTRY AND BIOPHYSICS
(2022)
Article
Physics, Applied
Peiming Shi, Yuchang Wang, Wenyue Zhang, Mengdi Li, Tao Song
Summary: This paper investigates the phenomenon of stochastic resonance in Hodgkin-Huxley (H-H) neurons by introducing three types of noises into the neuron's input. The results show that adding an appropriate intensity of noise can enhance the neuron's response to the original signal, and the mutual information rate (MIR) between the output and input of the neuron exhibits a unimodal property. Moreover, the neurons exhibit frequency selectivity and different transmission performance for different amplitude of input signals.
MODERN PHYSICS LETTERS B
(2022)
Article
Computer Science, Artificial Intelligence
Hayat Yedjour, Boudjelal Meftah, Dounia Yedjour, Olivier Lezoray
Summary: This paper presents a biologically inspired spiking neural network model for detecting motion in image sequences based on MT cell responses. The experimental results demonstrate the network's ability to segregate multiple moving objects and reproduce MT cells' responses. Compared to state-of-the-art methods for boundary detection, the proposed network model provides the best results on the YouTube Motion Boundaries dataset.
NEURAL COMPUTING & APPLICATIONS
(2022)
Article
Biochemistry & Molecular Biology
Giulia Fani, Chiara Ester La Torre, Roberta Cascella, Cristina Cecchi, Michele Vendruscolo, Fabrizio Chiti
Summary: Alzheimer's disease is characterized by the accumulation of amyloid beta (A beta) peptide in the brain, which leads to the formation of senile plaques. The aggregation process of A beta also generates smaller misfolded oligomers that contribute to disease progression. These oligomers interact with cell membranes, increasing intracellular Ca2+ levels and producing reactive oxygen species (ROS). Our study found that the increase in intracellular Ca2+ occurs faster than the increase in ROS levels after exposure to misfolded protein oligomers. Removing Ca2+ from the cell medium prevents the increase in intracellular Ca2+ and abolishes ROS production. Treating cells with antioxidant agents prevents ROS formation, but does not prevent the initial increase in Ca2+, allowing the cells to restore normal calcium levels. These findings suggest that Ca2+ influx triggers ROS production in cells challenged by aberrant protein oligomers.
CELLULAR AND MOLECULAR LIFE SCIENCES
(2022)
Article
Multidisciplinary Sciences
Yuni Kay, Linda Tsan, Elizabeth A. Davis, Chen Tian, Lea Decarie-Spain, Anastasiia Sadybekov, Anna N. Pushkin, Vsevolod Katritch, Scott E. Kanoski, Bruce E. Herring
Summary: Mutations in the putative glutamatergic synapse scaffolding protein SAP97 can enhance glutamatergic synapse strength in the dentate gyrus, impairing contextual episodic memory in rats.
NATURE COMMUNICATIONS
(2022)
Article
Cell Biology
Qixu Cai, Menglong Zeng, Xiandeng Wu, Haowei Wu, Yumeng Zhan, Ruijun Tian, Mingjie Zhang
Summary: CaMKIIα plays a crucial role in synapses by interacting with Shank3 and GluN2B, regulating synaptic plasticity through the modulation of Ca2+ concentration and phosphatases. The shuttling of CaMKIIα between specific PSD subcompartments and PSD condensates controlled by protein phosphatases contributes to PSD assembly enlargement and structural long-term potentiation.
Article
Physics, Multidisciplinary
Huamei Yang, Yuangen Yao
Summary: We discovered noise-free logical stochastic resonance in the Hodgkin-Huxley (HH) model of neuron. Logical stochastic resonance (LSR) is a variant of the well-known stochastic resonance (SR) in logical areas, and has gained increasing attention for its potential applications in energy-efficient logical devices. In this study, we explored the extension of previous findings on the FitzHugh-Nagumo (FHN) neuron to the more biologically realistic HH neuron, and investigated the effects of phase fluctuation. Numerical simulations showed that the success probability P exhibited resonant behaviors by altering the amplitude and frequency of the modulating periodic force. Additionally, increasing phase fluctuation and frequency of the modulating aperiodic force led to double logical resonance in the HH neuron.
PRAMANA-JOURNAL OF PHYSICS
(2023)
Article
Engineering, Mechanical
Xuying Xu, Li Ni, Rubin Wang
NONLINEAR DYNAMICS
(2016)
Article
Biology
Xuying Xu, Li Ni, Rubin Wang
JOURNAL OF THEORETICAL BIOLOGY
(2017)
Article
Multidisciplinary Sciences
Hongwei Fan, Xiaochuan Pan, Rubin Wang, Masamichi Sakagami
Article
Neurosciences
Yihong Wang, Rubin Wang, Xuying Xu
Article
Computer Science, Artificial Intelligence
Yihong Wang, Xuying Xu, Rubin Wang
Article
Neurosciences
Yihong Wang, Xuying Xu, Rubin Wang
FRONTIERS IN NEUROSCIENCE
(2018)
Article
Engineering, Mechanical
Yihong Wang, Xuying Xu, Yating Zhu, Rubin Wang
NONLINEAR DYNAMICS
(2019)
Article
Computer Science, Artificial Intelligence
Yihong Wang, Xuying Xu, Rubin Wang
Article
Neurosciences
Yihong Wang, Xuying Xu, Rubin Wang
Summary: Spontaneous brain activities consume most of the brain's energy, and up and down transitions of membrane potentials are considered to be significant spontaneous activities. The energy feature of these transitions can distinguish excitatory and inhibitory neurons, mainly occurring during up states temporally.
COGNITIVE NEURODYNAMICS
(2021)
Article
Engineering, Mechanical
Yihong Wang, Xuying Xu, Xiaochuan Pan, Rubin Wang
Summary: Spatial navigation relies on various types of neurons to form an internal representation in the brain of the external world, with grid cells believed to serve as an invariant metric system. Research explored grid cell activity in 3-D space, predicting a mosaic-type grid code and analyzing the path integration mechanism. It was found that grid fields may become trajectory-dependent in 3-D space, impacting crawling animals' navigation abilities.
NONLINEAR DYNAMICS
(2021)
Article
Neurosciences
Yue Yuan, Xiaochuan Pan, Rubin Wang
Summary: In this study, a theoretical model of coupling the default mode network (DMN) and working memory network (WMN) was proposed. Simulated results showed that AMPA channels could produce synchronous oscillations in population neurons, and different NMDA conductance between networks could generate multiple neural activity modes. The default mode network (DMN) contributed to a more stable working memory process, and different memory phases corresponded to different functional connections between the DMN and WMN.
COGNITIVE NEURODYNAMICS
(2021)
Article
Computer Science, Artificial Intelligence
Yihong Wang, Xuying Xu, Rubin Wang
Summary: The internal representation of space in the animal's brain is crucial for navigation. Grid cells provide an environment-invariant metric system. Evidence suggests that spatial cognition may not be fully volumetric.
Article
Mathematics, Applied
Xuying Xu, Zhenyu Zhu, Yihong Wang, Rubin Wang, Wanzeng Kong, Jianhai Zhang
Summary: The olfactory system is an important component in the sensory nervous system. By establishing a bio-inspired olfactory neural network, researchers can understand how the olfactory system effectively distinguishes different types and concentrations of odor. The simulation results showed that inhibitory synaptic plasticity balanced the excitatory and inhibitory currents in the olfactory cortex, resulting in specific firing patterns. The olfactory cortex exhibited different firing patterns for different odor stimulations and similar patterns with different strengths for the same type of odor at different concentrations. Recognition of pure and mixed odors was achieved through hierarchical clustering and fuzzy clustering.
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION
(2022)