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europepmc
2026
置信度 0.80
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europepmc
2026
置信度 0.80
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Abstract Cerebellar neural circuit dynamics rely on a rich repertoire of synaptic and excitability mechanisms, which are thought to determine network computation in physiological and pathological conditions. In this work, we develop and validate a biologically…
europepmc
Marialaura De Grazia, Danilo Benozzo, Dimitri Rodarie, Filippo Marchetti 等
2026
置信度 0.80
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europepmc
2026
置信度 0.80
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europepmc
2026
置信度 0.80
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europepmc
2026
置信度 0.80
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europepmc
2026
置信度 0.80
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europepmc
2026
置信度 0.80
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Spiking neural networks (SNNs) are often called the third generation of neural models. They communicate with brief asynchronous pulses rather than continuous values, which suits event-driven sensors and low-power neuromorphic hardware. The mathematics behind t…
europepmc
İsmail Can Dikmen
2026
置信度 0.80
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europepmc
2026
置信度 0.80
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europepmc
2026
置信度 0.80
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europepmc
2026
置信度 0.80
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europepmc
2026
置信度 0.80
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europepmc
2026
置信度 0.80
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europepmc
2026
置信度 0.80
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europepmc
2026
置信度 0.80
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Abstract Due to their flexible model structures and their success in nonlinear modelling, artificial neural networks provide good alternatives for solving the forecasting problem. It is seen that different artificial neuron models can positively affect the for…
europepmc
Erol Egrioglu, Eren Bas, Gulsen Albayrak
2026
置信度 0.80
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preprints
2026
置信度 0.74
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europepmc
2026
置信度 0.80
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preprints
2016
置信度 0.74
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preprints
2026
置信度 0.74
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preprints
2026
置信度 0.74
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europepmc
2026
置信度 0.80
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Abstract Brain activity consists of neural signals dynamically coordinated across spatial and temporal scales. To sample distributed brain-wide activity, we combine chronically implanted ultra-flexible electrodes for subcortical recordings with simultaneous tw…
europepmc
2026
置信度 0.80
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preprints
2026
置信度 0.74
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preprints
2026
置信度 0.74
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preprints
2026
置信度 0.74
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preprints
2026
置信度 0.74
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europepmc
2025
置信度 0.80
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preprints
2026
置信度 0.74
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preprints
2026
置信度 0.74
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preprints
2026
置信度 0.74
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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 sy…
europepmc
2025
置信度 0.80
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europepmc
2025
置信度 0.80
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preprints
2026
置信度 0.74
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europepmc
2025
置信度 0.80
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preprints
2026
置信度 0.74
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Abstract The aim of this work is to determine how variability in synaptic connectivityshapes activity in balanced spiking networks and whether “topological stochasticresonance” (amplified responses due to structural disorder) can emerge withoutchanging the con…
preprints
Antoine Dedieu, Konstantin Nikolic
2026
置信度 0.74
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europepmc
2025
置信度 0.80
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europepmc
2025
置信度 0.80
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preprints
2026
置信度 0.74
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preprints
2026
置信度 0.74
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preprints
2026
置信度 0.74
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preprints
2026
置信度 0.74
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preprints
2026
置信度 0.74
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europepmc
2026
置信度 0.80
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preprints
2026
置信度 0.74
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europepmc
2025
置信度 0.80
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europepmc
2026
置信度 0.80
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europepmc
2025
置信度 0.80
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europepmc
2025
置信度 0.80
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Spiking Neural Networks (SNNs) provide a biologically inspired, event-driven alternative to Artificial Neural Networks (ANNs) with the potential to deliver competitive accuracy at substantially lower energy. This tutorial-study offers a unified, practice-orien…
europepmc
Bahgat Ayasi, Cristóbal J. Carmona, Mohammed Saleh, Angel M. García-Vico
2025
置信度 0.80
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Abstract Alzheimer’s Disease (AD) is a progressive, neurodegenerative condition causing cognitive decline with memory loss. To improve life quality and allow intervention in time, detection that is early and accurate is key, especially at Mild Cognitive Impair…
europepmc
B A Sujathakumari, Usha Rani C M, M S Shalini, N S Sneha
2025
置信度 0.80
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preprints
2025
置信度 0.74
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preprints
2025
置信度 0.74
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preprints
2026
置信度 0.74
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preprints
2026
置信度 0.74
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Abstract The Internet of Medical Things (IoMT), a key application of the Internet of Things (IoT), has played a key role, especially during the Covid 19 pandemic. Real-time patient monitoring and remote diagnostics help improve medical services, but this incre…
preprints
Fatma S. Alrayes, Mohammed Zakariah, Syed Umar Amin, Zafar Iqbal Khan 等
2025
置信度 0.74
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preprints
2025
置信度 0.74
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preprints
2026
置信度 0.74
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preprints
2025
置信度 0.74
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The Internet of Medical Things (IoMT), a key application of the Internet of Things (IoT), has played a key role, especially during the Covid 19 pandemic. Real-time patient monitoring and remote diagnostics help improve medical services, but this increases the …
preprints
Fatma S. Alrayes, Mohammed Zakariah, Syed Umar Amin, Zafar Iqbal Khan 等
2025
置信度 0.74
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Abstract The brain refines its predictions of the world by updating its internal model whenever sensory input differs from expectation. The sign of this prediction error matters: an unexpected event signals that the model under-predicted (positive error), whil…
preprints
2026
置信度 0.74
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preprints
2025
置信度 0.74
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preprints
2025
置信度 0.74
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preprints
2025
置信度 0.74
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preprints
2025
置信度 0.74
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preprints
2025
置信度 0.74
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preprints
2025
置信度 0.74
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preprints
2026
置信度 0.74
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Abstract An oscillatory neural network (ONN) is a novel physics-based computing architecture that leverages the collective dynamics of coupled oscillators with sinusoidal Kuramoto oscillators being typically chosen. However, van der Pol (vdP) oscillators intro…
preprints
2026
置信度 0.74
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preprints
2025
置信度 0.74
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preprints
2025
置信度 0.74
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The development of neuroanatomy and neurophysiology has revealed many new details about neurons’ electrical operation over the past few decades, requiring modifications to their theoretical models. The development of computing technology enables us to consider…
preprints
2025
置信度 0.74
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preprints
2025
置信度 0.74
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preprints
2025
置信度 0.74
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preprints
2025
置信度 0.74
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preprints
2025
置信度 0.74
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preprints
2025
置信度 0.74
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preprints
2026
置信度 0.74
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preprints
2025
置信度 0.74
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preprints
2025
置信度 0.74
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preprints
2025
置信度 0.74
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Abstract Spiking neural networks (SNNs) mimic the functions of biological neurons by leveraging individual temporal spikes for communication and computation. Since SNN was perceived to be complex and analytically challenging, it had long been overlooked. In th…
preprints
Falah. Y.H. Ahmed, Muhammad Zakarya, Naveed Khan, Dilovan Asaad Zebari 等
2025
置信度 0.74
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preprints
2025
置信度 0.74
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preprints
2025
置信度 0.74
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preprints
2025
置信度 0.74
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preprints
2025
置信度 0.74
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preprints
2025
置信度 0.74
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preprints
2025
置信度 0.74
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preprints
2025
置信度 0.74
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preprints
2025
置信度 0.74
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Reservoir computing is a neural network paradigm for processing temporal data by exploiting the dynamics of a fixed, high-dimensional system, enabling efficient computation with reduced complexity compared to fully trainable recurrent networks. This work prese…
preprints
2025
置信度 0.74
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preprints
2025
置信度 0.74
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preprints
2025
置信度 0.74
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preprints
2025
置信度 0.74
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preprints
2025
置信度 0.74
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preprints
2025
置信度 0.74
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preprints
2025
置信度 0.74
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preprints
2025
置信度 0.74