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• Neuronal heterogeneity of normalization strength in a circuit model.
  europepmc 2026 置信度 0.80
• Barcode activity in a recurrent network model of the hippocampus enables efficient memory binding.
  europepmc 2026 置信度 0.80
• Balancing accuracy and efficiency: co-design of hybrid quantization and unified computing architecture for spiking neural networks.
  europepmc 2025 置信度 0.80
• Sensory encoding and memory retrieval are coordinated with propagating waves in the human brain.
  europepmc 2026 置信度 0.80
• Cross-subject mapping of neural activity with restricted Boltzmann machines.
  europepmc 2026 置信度 0.80
• Adjoint propagation of error signal through modular recurrent neural networks for biologically plausible learning.
  Biologically plausible learning mechanisms have implications for understanding brain functions and engineering intelligent systems. Inspired by the multi-scale recurrent connectivity in the brain, we introduce an adjoint propagation (AP) framework, in which th…
  europepmc 2026 置信度 0.80
• Model Predictive Control on the Neural Manifold.
  europepmc 2025 置信度 0.80
• Maximum likelihood estimation of spatially dependent interactions in large populations of cortical neurons.
  europepmc 2025 置信度 0.80
• Synchrony timescales underlie irregular neocortical spiking.
  europepmc 2026 置信度 0.80
• Dissociated neuronal cultures as model systems for self-organized prediction.
  europepmc 2025 置信度 0.80
• Spinal circuit mechanisms constrain therapeutic windows for ALS intervention: A computational modeling study.
  europepmc 2026 置信度 0.80
• Aperiodic Activity Reflects Pathologic Waveform Shapes in Focal Epilepsy.
  europepmc 2025 置信度 0.80
• Prefrontal cortex interneurons and their contributions to attention, working memory, and adaptive behavior.
  europepmc 2026 置信度 0.80
• Machine learning unveils three layers of food complexity.
  europepmc 2026 置信度 0.80
• Steep-Slope CuInP<sub>2</sub>S<sub>6</sub> Ferroionic Threshold Switching Field-Effect Transistor for Implementation of Artificial Spiking Neuron.
  europepmc 2025 置信度 0.80
• Spectral dependence as a framework for neural coordination.
  europepmc 2026 置信度 0.80
• Balanced state of networks of winner-take-all units.
  europepmc 2025 置信度 0.80
• The role of sensory experience in the maturation of prefrontal cortical circuits.
  europepmc 2026 置信度 0.80
• Marmoset Anterior Cingulate Area 32 Neurons Exhibit Responses to Presented and Produced Calls during Naturalistic Vocal Communication.
  europepmc 2025 置信度 0.80
• Neurons sensitive to sky compass signals in the brain of the Madeira cockroach Rhyparobia maderae.
  europepmc 2026 置信度 0.80
• Linking the multiple-demand cognitive control system to human electrophysiological activity.
  europepmc 2025 置信度 0.80
• iTBS Stimulation of the Bilateral IFG/IPL Alters the Oscillatory Pattern in ASD.
  europepmc 2026 置信度 0.80
• Towards learning and memory risk assessment with human brain organoids: barriers and opportunities.
  europepmc 2026 置信度 0.80
• Oxytocin selectively biases sensory-prefrontal communication through network-level suppression and theta coupling.
  europepmc 2026 置信度 0.80
• Dynamics and energy encoding of a star-like neuron network composed of the Wang-Zhang model induced by compressing a sphere into a fingertip.
  europepmc 2026 置信度 0.80
• Evolutionary neuroeconomic adaptations of fast-spiking neurons in the human neocortex.
  europepmc 2026 置信度 0.80
• Active dissociation of intracortical spiking and high gamma activity.
  europepmc 2026 置信度 0.80
• Association between pyramidal neurone spiking in the medial prefrontal cortex and the sedative potency of volatile anaesthetics in mice.
  europepmc 2025 置信度 0.80
• Temporal single spike coding for effective transfer learning in spiking neural networks.
  europepmc 2025 置信度 0.80
• Artificial intelligence-based analysis of visual electrophysiological signals for clinical interpretation support.
  Introduction Visual electrophysiology, including electroretinograms (ERG) and visual evoked potentials (VEP), provides a real-time functional assessment of retinal and post-retinal pathways, complementing structural imaging. Subtypes such as transient, periodi…
  europepmc 2026 置信度 0.80
• Formal methods for safety-critical machine learning: a systematic literature review.
  europepmc 2026 置信度 0.80
• High-frequency, low-energy organic event-based sensors for closed-loop neurostimulation.
  europepmc 2026 置信度 0.80
• iPro-CSAF: identification of promoters based on convolutional spiking neural networks and spiking attention mechanism.
  europepmc 2025 置信度 0.80
• Hypersynchronous iPSC-derived SHANK2 neuronal networks are rescued by mGluR5 agonism.
  europepmc 2025 置信度 0.80
• Computational mechanisms for temporal integration in the anterior claustrum.
  europepmc 2026 置信度 0.80
• Reinforced liquid state machines-new training strategies for spiking neural networks based on reinforcements.
  Introduction Feedback and reinforcement signals in the brain act as natures sophisticated teaching tools, guiding neural circuits to self-organization, adaptation, and the encoding of complex patterns. This study investigates the impact of two feedback mechani…
  europepmc Dominik Krenzer, Martin Bogdan 2025 置信度 0.80
• A network of Bayesian agents for reward prediction and noise tolerance.
  europepmc 2025 置信度 0.80
• Linking EEG markers of oscillopathy and default mode network dysfunction in Alzheimer's disease.
  europepmc 2026 置信度 0.80
• Action observation responses in macaque frontal cortex.
  europepmc 2026 置信度 0.80
• Exploring subthreshold processing for next-generation TinyAI.
  europepmc 2025 置信度 0.80
• Cooperative coding of continuous variables in networks with sparsity constraint.
  europepmc 2025 置信度 0.80
• Spaces and sequences in the hippocampus: a homological perspective.
  europepmc 2026 置信度 0.80
• NeuroTorch: A Python library for neuroscience-oriented machine learning
  Machine learning (ML) has become a powerful tool for data analysis, leading to significant advances in neuroscience research. While ML algorithms are proficient in general-purpose tasks, their highly technical nature often hinders their compatibility with the …
  preprints 2024 置信度 0.74
• A genetic algorithm for self-supervised models of oscillatory neurodynamics
  preprints 2024 置信度 0.74
• Linking the multiple-demand cognitive control system to human electrophysiological activity
  preprints 2024 置信度 0.74
• FORCE trained spiking networks do not benefit from faster learning while parameter matched rate networks do
  preprints 2024 置信度 0.74
• Effects of Spatial Constraints of Inhibitory Connectivity on the Dynamical Development of Criticality in Spiking Networks
  preprints 2024 置信度 0.74
• Kernel-based LFP estimation in detailed large-scale spiking network model of mouse visual cortex
  Summary Simulations of large-scale neural activity are powerful tools for investigating neural networks. Calculating measurable brain signals like local field potentials (LFPs) bridges the gap between model predictions and experimental observations. However, a…
  preprints Nicolò Meneghetti, Atle E. Rimehaug, Gaute T. Einevoll, Alberto Mazzoni 等 2024 置信度 0.74
• Synchrony dynamics underlie irregular neocortical spiking
  preprints 2024 置信度 0.74
• Transcutaneous afferent patterned stimulation reduces essential tremor symptoms through modulation of neural activity in the ventral intermediate nucleus of the thalamus
  preprints 2024 置信度 0.74
• Functional consequences of fast-spiking interneurons in striatum
  preprints 2024 置信度 0.74
• TL-SNN: Event-Driven Visual-Tactile Learning with Temporal and Location Spiking Neurons
  preprints 2024 置信度 0.74
• Modeling neuron-astrocyte interactions in neural networks using distributed simulation
  Astrocytes engage in local interactions with neurons, synapses, other glial cell types, and the vasculature through intricate cellular and molecular processes, playing an important role in brain information processing, plasticity, cognition, and behavior. This…
  preprints 2024 置信度 0.74
• Engineered biological neural networks as basic logic operators
  preprints 2024 置信度 0.74
• Memristive blinking neuron enabling dense and scalable photonically-linked neural network
  preprints 2024 置信度 0.74
• Inferring Effective Networks of Spiking Neurons Using a Continuous-Time Estimator of Transfer Entropy
  preprints 2024 置信度 0.74
• Selective inhibition in CA3: A mechanism for stable pattern completion through heterosynaptic plasticity
  preprints 2024 置信度 0.74
• Short- and long-term reconfiguration of rat prefrontal cortical networks following single doses of psilocybin
  preprints 2024 置信度 0.74
• Adaptive Drop Approaches to Train Spiking-YOLO Network for Traffic Flow Counting
  preprints 2024 置信度 0.74
• Neuron synchronization analyzed through spatial-temporal attention
  preprints 2024 置信度 0.74
• Balancing central control and sensory feedback produces adaptable and robust locomotor patterns in a spiking, neuromechanical model of the salamander spinal cord
  preprints 2024 置信度 0.74
• Biologically informed cortical models predict optogenetic perturbations
  preprints 2024 置信度 0.74
• Encoding of movement primitives and body posture through distributed proprioception in walking and climbing insects
  preprints 2024 置信度 0.74
• Emergence and maintenance of modularity in neural networks with Hebbian and anti-Hebbian inhibitory STDP
  preprints 2024 置信度 0.74
• A Continuous Attractor Model with Realistic Neural and Synaptic Properties Quantitatively Reproduces Grid Cell Physiology
  preprints 2024 置信度 0.74
• Efficient coding in biophysically realistic excitatory-inhibitory spiking networks
  preprints 2024 置信度 0.74
• Spiking networks that efficiently process dynamic sensory features explain receptor information mixing in somatosensory cortex
  preprints 2024 置信度 0.74
• Exploring Spiking Neural Networks for Deep Reinforcement Learning in Robotic Tasks: A Comparative Study
  preprints 2024 置信度 0.74
• Spontaneous emergence and evolution of neuronal sequences in recurrent networks
  preprints 2024 置信度 0.74
• Cortical state contributions to neuronal response variability in the early visual cortex: A system identification approach
  preprints 2024 置信度 0.74
• Layer 6 corticothalamic neurons induce high gamma oscillations through cortico-cortical and cortico-thalamo-cortical pathways
  preprints 2024 置信度 0.74
• Flexible modeling of large-scale neural network stimulation: electrical and optical extensions to The Virtual Electrode Recording Tool for EXtracellular Potentials (VERTEX)
  preprints 2024 置信度 0.74
• Interplay of Long- and Short-term Synaptic Plasticity in a Spiking Network Model of Rat’s Episodic Memory
  preprints 2024 置信度 0.74
• Single Organic Electrochemical Neuron Capable of Anticoincidence Detection
  preprints 2024 置信度 0.74
• Small neural networks under external forcing: Periodic pulses and Lévy noise
  preprints 2024 置信度 0.74
• Response of neuronal populations to phase-locked stimulation: model-based predictions and validation
  preprints 2024 置信度 0.74
• Neuronal correlates of sleep in honey bees
  preprints 2024 置信度 0.74
• Texture Recognition Using a Biologically Plausible Spiking Phase-Locked Loop Model for Spike Train Frequency Decomposition
  preprints 2024 置信度 0.74
• Efficient Inference on a Network of Spiking Neurons using Deep Learning
  preprints 2024 置信度 0.74
• Deep inverse modeling reveals dynamic-dependent invariances in neural circuit mechanisms
  preprints 2024 置信度 0.74
• Spiking Neuron-Astrocyte Networks for Image Recognition
  preprints 2024 置信度 0.74
• Cortico-subcortical dynamics in primate working memory
  preprints 2024 置信度 0.74
• High frequency bursts facilitate fast communication for human spatial attention
  preprints 2024 置信度 0.74
• LoAS: Fully Temporal-Parallel Dataflow for Dual-Sparse Spiking Neural Networks
  crossref Ruokai Yin, Youngeun Kim, Di Wu, Priyadarshini Panda 2024-12-03T13:51:51Z 置信度 0.70
• Optimized multi-head self-attention and gated-dilated convolutional neural network for quantum key distribution and error rate reduction
  crossref R J Kavitha, D. Ilakkiaselvan 2024-07-17T06:55:34Z 置信度 0.70
• Probabilistic Spiking Neural Network with Correlation-Based Memristive Synaptic Update
  crossref D. Kunitsyn, A. Sboev, Y. Davydov, D. Vlasov 等 2026-05-01T20:54:50Z 置信度 0.70
• Brain-inspired reward broadcasting: Brain learning mechanism guides learning of spiking neural network
  crossref Miao Wang, Gangyi Ding, Yunlin Lei, Yu Zhang 等 2025-02-17T11:57:41Z 置信度 0.70
• Adaptive Spiking Neural Network Neuromorphic Hardware for Interfacing Between Emerging Neuron and Synaptic Devices
  crossref Min Jee Kim, Jaegwang Im, Keonhee Kim, Yooyeon Jo 等 2024-12-23T19:10:53Z 置信度 0.70
• Gaining the Sparse Rewards by Exploring Lottery Tickets in Spiking Neural Networks
  crossref Hao Cheng, Jiahang Cao, Erjia Xiao, Mengshu Sun 等 2024-12-25T19:17:39Z 置信度 0.70
• Exploring the potential of spiking neural networks in biomedical applications: advantages, limitations, and future perspectives
  crossref Eunsu Kim, Youngmin Kim 2024-06-20T16:02:02Z 置信度 0.70
• Quantized Context Based LIF Neurons for Recurrent Spiking Neural Networks in 45nm
  crossref Sai Sukruth Bezugam, Yihao Wu, JaeBum Yoo, Dmitri Strukov 等 2024-06-11T17:30:32Z 置信度 0.70
• Spiking Neural Networks with Nonidealities from Memristive Silicon Oxide Devices
  crossref Viet Cuong Vu, Anthony Kenyon, Dovydas Joksas, Adnan Mehonic 等 2024-08-22T17:38:42Z 置信度 0.70
• Sign Language Recognition using Spiking Neural Networks
  crossref Pranav Chaudhari, Alex Vicente-Sola, Amlan Basu, Davide L. Manna 等 2024-05-31T19:58:30Z 置信度 0.70
• Withdrawn: Astrocyte Control Bursting Mode of Spiking Neuron Network with Memristor-Implemented Plasticity
  crossref Sergey Stasenko, Alexey Mikhaylov, Alexander Fedotov, Vladimir Smirnov 等 2024-01-08T19:34:47Z 置信度 0.70
• Paired competing neurons improving STDP supervised local learning in spiking neural networks
  Direct training of Spiking Neural Networks (SNNs) on neuromorphic hardware has the potential to significantly reduce the energy consumption of artificial neural network training. SNNs trained with Spike Timing-Dependent Plasticity (STDP) benefit from gradient-…
  crossref Gaspard Goupy, Pierre Tirilly, Ioan Marius Bilasco 2024-07-24T05:23:36Z 置信度 0.70
• Integrating Neural Network Emulators in CAD Environments for Enhanced Neural Architecture Modeling
  The study, titled 'Integrating Neural Network Emulators in CAD Environments for Enhanced Neural Architecture Modeling,' represents a effort in the realms of computational design and neural network emulation. This research is centered on the goal of integrating…
  crossref Dimitrios Sargiotis 2024-05-21T16:03:31Z 置信度 0.70
• Event-Based Spiking Neural Networks for Object Detection: A Review of Datasets, Architectures, Learning Rules, and Implementation
  crossref Craig Iaboni, Pramod Abichandani 2024-10-14T13:25:51Z 置信度 0.70
• Predicting stock market trends using ANN-spiking neural network via public sentiment and political situation analysis
  crossref Devadutta Indoria, Mercy Tom, Sameer Yadav, C.A. Sandeep Gupta 等 2025-01-29T10:13:27Z 置信度 0.70
• Pattern Formation in a Spiking Neural-Field of Renewal Neurons
  Abstract. Elucidating the neurophysiological mechanisms underlying neural pattern formation remains an outstanding challenge in Computational Neuroscience. In this paper, we address the issue of understanding the emergence of neural patterns by considering a n…
  crossref Grégory Dumont, Carmen Oana Tarniceriu 2024-10-14T04:00:37Z 置信度 0.70
• Intelligent event-based lip reading word classification with spiking neural networks using spatio-temporal attention features and triplet loss
  crossref Qianhui Liu, Meng Ge, Haizhou Li 2024-05-08T15:18:16Z 置信度 0.70