20 papers · ranked by Valyu relevance
Akshay S Harish, Gaurav Dar
Explosive synchronization (ES), which was observed in the scale-free network of the Kuramoto model1 , has been studied widely in the oscillator model. However, investigations of ES in neuronal networks, in spite of their importance in neuroscience, are limited and restricted to specific models. In this work, we explore…
Gabriel Marghoti, Thiago L. Prado, Miguel A. F. Sanjuán, Sergio R. Lopes
In neurosciences, the brain processes information via the firing patterns of connected neurons operating across a spectrum of frequencies. To better understand the effects of these frequencies in the neuron dynamics, we have simulated a neuronal network of Izhikevich neurons to examine the interaction between frequency…
Rashad Hall, Maury Jackson, Maryam Maleki, Horace T. Crogman
Introduction Understanding the cognitive process of thinking as a neural phenomenon remains a central challenge in neuroscience and computational modeling. This study addresses this challenge by presenting a biologically grounded framework that simulates adaptive decision making across cognitive states. Methods The…
Haoming Yang, Pramod KC, Panyu Chen, Hong Lei + 3 more
Neuronal synchronization refers to the temporal coordination of activity across populations of neurons, a process that underlies coherent information processing, supports the encoding of diverse sensory stimuli, and facilitates adaptive behavior in dynamic environments. Previous studies of synchronization have…
Behnam Babaeian, Marius E. Yamakou
We study chaotic synchronization in a five-dimensional Hindmarsh–Rose neuron model augmented with electromagnetic induction and a switchable memristive autapse. For two diffusively coupled neurons, we derive the linearized error dynamics and prove global asymptotic stability of the synchronization manifold using a…
Karoline Horgmo Jæger, Aslak Tveito
The extracellular potential surrounding neurons is of great importance: it is measured to interpret neural activity, it underpins ephaptic coupling between neighboring cells, and it forms the basis for external stimulation of neural tissue. These phenomena have been studied for decades, both experimentally and…
O.V. Levashov, V.F. Safiulina
Key operations in modeling visual processing in living systems are those that process a pattern as a holistic object, for example, in pattern recognition to ensure invariance to translation and rotation. In this article, we describe a neural module we synthesized for moving a pattern along a cortical layer without…
Maria Giovanna Canu, Gaia Burlando, Lorenzo Chiarella, Valentina Marazzotta + 6 more
Vigilance states are associated with reproducible reconfigurations of large-scale brain dynamics, reflected in changes in inter-areal phase synchronization and cross-frequency phase–amplitude coupling. Here, we characterized how these two forms of phase-based coordination jointly organize across sleep and wakefulness…
Gourab Kumar Sar, Andrew Patton, Emma Towlson, Jörn Davidsen
A central question in neuroscience is how neural processing generates or encodes behavior. Caenorhabditis elegans is well suited to addressing this question, given its compact nervous system and near-complete structural connectome. Despite this, findings from previous studies remain inconclusive. While some have shown…
Faramarz Faghihi, Ahmed Moustafa, Samuel Neymotin
Neuroscience-inspired neural networks bridge biology and technology, offering powerful tools to model brain function while enabling adaptive, efficient control in robotics. In this work, we present a neuroscience-inspired synaptic learning rule based on the synchronization of synaptic inputs to single excitatory…
Shutong Sun, Longhui Jiang, Yaoyao Liu, Li Shang + 6 more
Synaptic plasticity constitutes a fundamental mechanism of neural systems. Rhythmic activities (e.g., θ and γ oscillations) play a critical role in modulating network plasticity efficiency in biological neural systems. However, the rules governing plasticity and adaptive regulation of in vitro cultured networks under…
Meng-Jiao Chen
Phasic dopamine (DA) release is related to reward processing and addiction. The prevailing view posits that this DA release originates from synchronous bursts of DA neuron groups, rather than individual neuron bursts. However, the mechanism by which diverse excitatory inputs synergistically induce synchronous bursts…
Lorenzo De Toni, Federica Perricone, Lorenzo Tartarini, Giulia Maria Boiani + 7 more
The human respiratory Central Pattern Generator (CPG) is a complex and tightly regulated network of neurons responsible for the automatic rhythm of breathing. Among the brain nuclei involved in respiratory control, excitatory neurons within the PreBotzinger Complex (PreBötC) are both necessary and sufficient for…
Marco Cafiso, Gabriele Casagrande, Marianna Angiolleli, Paolo Paradisi + 2 more
Neural synchronization is fundamental to brain function and, when it becomes excessive, underlies pathological conditions such as epilepsy. Among brain regions, the temporal lobes, and the hippocampus in particular, exhibit the highest epileptogenic potential, with mesial temporal lobe epilepsy representing the most…
Faramarz Faghihi, Ahmed Moustafa, Samuel Neymotin
Neuroscience-inspired neural networks provide a promising framework for bridging biological principles and adaptive artificial intelligence systems. Here, we propose a novel synchronization-based synaptic learning rule for self-organizing probabilistic spiking neural networks (PSNNs) with feedback inhibition. In the…
Diogo L. M. Souza, Lucas E. Bentivoglio, Enrique C. Gabrick, Paulo R. Protachevicz + 5 more
Epilepsy is a prevalent neurological disorder marked by abnormal synchronized neuronal firing, which can often lead to long-term cognitive and physical impairments. In this work, we introduce a reliable biomarker for seizure prediction. Through simulations of a conductance-based neuronal network model that reproduces…
Bruno R. R. Boaretto, Kalel L. Rossi, Lyle E. Muller, Elbert E. Macau + 1 more
Neuronal communication is inherently time-delayed, due to the finite speed of signal propagation. Although often considered challenging or disruptive, such time delays can also endow neural circuits with useful capabilities. Here, we show that delays in excitatory connections between excitable neurons coordinate their…
R. Shashangan, S. Sudharsan, Dibakar Ghosh, M. Senthilvelan
We show that in a drive-response coupling framework extreme events are suppressed in the response system by the dominance of a single driving signal. We validate this approach across three distinct response network topologies, namely (i) a pair of coupled neurons, (ii) a monolayer network of N coupled neurons and (iii)…
Choongseok Park, Leonid L. Rubchinsky, Sungwoo Ahn
- 1 Department of Mathematics and Statistics, North Carolina A&T State University, Greensboro, NC, USA 27411 - 2 Department of Mathematical Sciences, Indiana University Indianapolis, Indianapolis, IN, USA 46202 - 3 Stark Neurosciences Research Institute, Indiana University School of Medicine, Indianapolis, IN, USA…
Authors not listed
TIMP2 (Tissue Inhibitor of Metalloproteinase-2) plays a crucial role in hippocampal neuroplasticity and cognitive function through MMP-independent signaling. Despite its therapeutic promise, TIMP2 has long been considered 'undruggable' due to its cryptic surface topology and lack of canonical active sites. We present a…