yusuke1997/dblp-id-title huggingface dataset:
Triboelectric nanogenerators for neural data interpretation: bridging multi-sensing interfaces with neuromorphic and deep learning paradigms
Subcritical Hopf Bifurcation and Stochastic Resonance of Electrical Activities in Neuron under Electromagnetic Induction
Synergy quality assessment of muscle modules for determining learning performance using a realistic musculoskeletal model
Spectral Entropy Based Neuronal Network Synchronization Analysis Based on Microelectrode Array Measurements
A Computational Model of Working Memory Based on Spike-Timing-Dependent Plasticity
Biophysically based computational models of astrocyte ~ neuron coupling and their functional significance
Decoding the application of deep learning in neuroscience: a bibliometric analysis
Adaptive neural information processing with dynamical electrical synapses
Reservoir based spiking models for univariate Time Series Classification
Meta-Learning for Decoding Neural Activity Data With Noisy Labels
Computational quest for understanding the role of astrocyte signaling in synaptic transmission and plasticity
Multi-stage semi-supervised learning enhances white matter hyperintensity segmentation
Modeling studies for designing transcranial direct current stimulation protocol in Alzheimer's disease
Model of the HVC neural network as a song motor in zebra finch
A Glutamatergic Spine Model to Enable Multi-Scale Modeling of Nonlinear Calcium Dynamics
Modeling invariant object processing based on tight integration of simulated and empirical data in a Common Brain Space
Computational modeling of the negative priming effect based on inhibition patterns and working memory
Editorial: AI and inverse methods for building digital twins in neuroscience
Computational Foundations of Natural Intelligence
A Fast Contour Detection Model Inspired by Biological Mechanisms in Primary Vision System
Multi-Stage Open Peer Review: Scientific Evaluation Integrating the Strengths of Traditional Peer Review with the Virtues of Transparency and Self-Regulation
Thalamic neuron models encode stimulus information by burst-size modulation
Nonlinear analysis of neuronal firing modulated by sinusoidal stimulation at axons in rat hippocampus
Network Model With Reduced Metabolic Rate Predicts Spatial Synchrony of Neuronal Activity
Modulation of orientation-selective neurons by motion: when additive, when multiplicative?
Capturing biomarkers associated with Alzheimer disease subtypes using data distribution characteristics
New insights into binocular rivalry from the reconstruction of evolving percepts using model network dynamics
Probabilistic Circuits for Autonomous Learning: A Simulation Study
Pulvinar thalamic nucleus allows for asynchronous spike propagation through the cortex
Computing the partition dimension of certain families of Toeplitz graph
Computational Models for Calcium-Mediated Astrocyte Functions
Analysis of sampling artifacts on the Granger causality analysis for topology extraction of neuronal dynamics
Analysis of the role of the low threshold currents IT and Ih in intrinsic delta oscillations of thalamocortical neurons
Decentralized EEG-based detection of major depressive disorder via transformer architectures and split learning
Modular neuron-based body estimation: maintaining consistency over different limbs, modalities, and frames of reference
Complex Systems Science and Brain Dynamics
Supervised Learning With First-to-Spike Decoding in Multilayer Spiking Neural Networks
Musical Creativity and Depth of Implicit Knowledge: Spectral and Temporal Individualities in Improvisation
An Information-Theoretic Approach for Evaluating Probabilistic Tuning Functions of Single Neurons
Computational Modeling of Synchrony in the Auditory Nerve in Response to Acoustic and Electric Stimulation
Exploring internal representations of self-supervised networks: few-shot learning abilities and comparison with human semantics and recognition of objects
Ensemble deep learning for brain tumor detection
Diffusion approximation-based simulation of stochastic ion channels: which method to use?
Editorial: Advances in computer science and their impact on data acquisition and analysis in neuroscience
Physical principles for scalable neural recording
Editorial: Deep learning and neuroimage processing in understanding neurological diseases
Reconciling predictive coding and biased competition models of cortical function
Optimal Localist and Distributed Coding of Spatiotemporal Spike Patterns Through STDP and Coincidence Detection
How to evaluate an agent's behavior to infrequent events? - Reliable performance estimation insensitive to class distribution
The Amount of Time Dilation for Visual Flickers Corresponds to the Amount of Neural Entrainments Measured by EEG
Text clustering based on pre-trained models and autoencoders
A Dynamic Circuit Hypothesis for the Pathogenesis of Blepharospasm
Dopamine-Signaled Reward Predictions Generated by Competitive Excitation and Inhibition in a Spiking Neural Network Model
Cross-site scripting attack detection based on a modified convolution neural network
Competition improves robustness against loss of information
Controlling Synchronization of Spiking Neuronal Networks by Harnessing Synaptic Plasticity
Leveraging neuro-inspired AI accelerator for high-speed computing in 6G networks
On the danger of detecting network states in white noise
Characterization of Predictive Behavior of a Retina by Mutual Information
Learning to use working memory: a reinforcement learning gating model of rule acquisition in rats
Does Spike-Timing-Dependent Synaptic Plasticity Couple or Decouple Neurons Firing in Synchrony?
Stability of mental motor-imagery classification in EEG depends on the choice of classifier model and experiment design, but not on signal preprocessing
Identifying depression disorder using multi-view high-order brain function network derived from electroencephalography signal
Astrocytic and neuronal accumulation of elevated extracellular K+ with a 2/3 K+/Na+ flux ratio - consequences for energy metabolism, osmolarity and higher brain function
Hierarchical vector auto-regressive models and their applications to multi-subject effective connectivity
The dendritic location of the L-type current and its deactivation by the somatic AHP current both contribute to firing bistability in motoneurons
Resonance Analysis as a Tool for Characterizing Functional Division of Layer 5 Pyramidal Neurons
Temporal precision in population - but not individual neuron - dynamics reveals rapid experience-dependent plasticity in the rat barrel cortex
Calcium Messenger Heterogeneity: A Possible Signal for Spike Timing-Dependent Plasticity
A Computational Model to Investigate Astrocytic Glutamate Uptake Influence on Synaptic Transmission and Neuronal Spiking
Computational Properties of the Hippocampus Increase the Efficiency of Goal-Directed Foraging through Hierarchical Reinforcement Learning
Dynamic Information Encoding With Dynamic Synapses in Neural Adaptation
Saccade learning with concurrent cortical and subcortical basal ganglia loops
Architectural constraints are a major factor reducing path integration accuracy in the rat head direction cell system
Detection and Evaluation of Spatio-Temporal Spike Patterns in Massively Parallel Spike Train Data with SPADE
A Neuro-Computational Model for Discrete-Continuous Dual-Task Process
On the dynamics of cortical development: synchrony and synaptic self-organization
A Route to Chaotic Behavior of Single Neuron Exposed to External Electromagnetic Radiation
Ramping activity in the striatum
Parametric computation predicts a multiplicative interaction between synaptic strength parameters that control gamma oscillations
Temporal-Sequential Learning With a Brain-Inspired Spiking Neural Network and Its Application to Musical Memory
Enhanced HMAX model with feedforward feature learning for multiclass categorization
Editorial: Influence of Inter- and Intra-Synaptic Factors on Information Processing in the Brain
A Model of In vitro Plasticity at the Parallel Fiber - Molecular Layer Interneuron Synapses
Cortical hot spots and labyrinths: why cortical neuromodulation for episodic migraine with aura should be personalized
Maximal Dependence Capturing as a Principle of Sensory Processing
Computational Evidence for a Competitive Thalamocortical Model of Spikes and Spindle Activity in Rolandic Epilepsy
Persistence and storage of activity patterns in spiking recurrent cortical networks: modulation of sigmoid signals by after-hyperpolarization currents and acetylcholine
Size Matters: How Scaling Affects the Interaction between Grid and Border Cells
Robustness of Radiomics for Survival Prediction of Brain Tumor Patients Depending on Resection Status
Emergence of radial orientation selectivity: Effect of cell density changes and eccentricity in a layered network
Enhanced simulations of whole-brain dynamics using hybrid resting-state structural connectomes
Augmenting Human Selves Through Artificial Agents - Lessons From the Brain
Functional extreme learning machine
Crossing the Cleft: Communication Challenges Between Neuroscience and Artificial Intelligence
Knowledge graph construction for heart failure using large language models with prompt engineering
Burst analysis tool for developing neuronal networks exhibiting highly varying action potential dynamics
Complex dynamics in recurrent cortical networks based on spatially realistic connectivities
Convolutional Neural Network for Multi-Category Rapid Serial Visual Presentation BCI
On dynamics of integrate-and-fire neural networks with conductance based synapses
Analytical approximations of the firing rate of an adaptive exponential integrate-and-fire neuron in the presence of synaptic noise
A Model of Memory Linking Time to Space
Bayesian network analysis revealed the connectivity difference of the default mode network from the resting-state to task-state
Brain Network Activation Analysis Utilizing Spatiotemporal Features for Event Related Potentials Classification
Simultaneous Learning and Filtering without Delusions: A Bayes-Optimal Derivation of Combining Predictive Inference and Adaptive Filtering
Editorial: Deep Learning in Biological, Computer, and Neuromorphic Systems
A functional contextual, observer-centric, quantum mechanical, and neuro-symbolic approach to solving the alignment problem of artificial general intelligence: safe AI through intersecting computational psychological neuroscience and LLM architecture for emergent theory of mind
Chimera Patterns of Synchrony in a Frustrated Array of Hebb Synapses
Memory consolidation from a reinforcement learning perspective
Capturing dopaminergic modulation and bimodal membrane behaviour of striatal medium spiny neurons in accurate, reduced models
Identification of Smith-Magenis syndrome cases through an experimental evaluation of machine learning methods
Privacy-preserving dementia classification from EEG via hybrid-fusion EEGNetv4 and federated learning
Neuronal Oscillations with Non-sinusoidal Morphology Produce Spurious Phase-to-Amplitude Coupling and Directionality
Monitoring time domain characteristics of Parkinson's disease using 3D memristive neuromorphic system
An Oscillatory Neural Autoencoder Based on Frequency Modulation and Multiplexing
A Novel Approach for Modeling Neural Responses to Joint Perturbations Using the NARMAX Method and a Hierarchical Neural Network
Routing in the brain
Analog Signaling With the "Digital" Molecular Switch CaMKII
Velocity neurons improve performance more than goal or position neurons do in a simulated closed-loop BCI arm-reaching task
Population Coding of Visual Space: Comparison of Spatial Representations in Dorsal and Ventral Pathways
Phase synchrony facilitates binding and segmentation of natural images in a coupled neural oscillator network
The CNP signal is able to silence a supra threshold neuronal model
Identifying Dynamic Functional Connectivity Changes in Dementia with Lewy Bodies Based on Product Hidden Markov Models
Super special relativity
Discrete Sequential Information Coding: Heteroclinic Cognitive Dynamics
How Memory Conforms to Brain Development
Structure of receptive fields in a computational model of area 3b of primary sensory cortex
Enabling Functional Neural Circuit Simulations with Distributed Computing of Neuromodulated Plasticity
MUNet: a novel framework for accurate brain tumor segmentation combining UNet and mamba networks
Detecting global form: separate processes required for Glass and radial frequency patterns
Sparse measures with swarm-based pliable hidden Markov model and deep learning for EEG classification
An algorithm for the analysis of temporally structured multidimensional measurements
Electroencephalography Amplitude Modulation Analysis for Automated Affective Tagging of Music Video Clips
A spiking network model of cerebellar Purkinje cells and molecular layer interneurons exhibiting irregular firing
Wrestling Model of the Repertoire of Activity Propagation Modes in Quadruple Neural Networks
Quantitative Assessment of Stress Through EEG During a Virtual Reality Stress-Relax Session
Spiking Correlation Analysis of Synchronous Spikes Evoked by Acupuncture Mechanical Stimulus
Selectionist and Evolutionary Approaches to Brain Function: A Critical Appraisal
Spiking Models for Level-Invariant Encoding
Computational Characteristics of the Striatal Dopamine System Described by Reinforcement Learning With Fast Generalization
Transition Dynamics of a Dentate Gyrus-CA3 Neuronal Network during Temporal Lobe Epilepsy
Nonlinear Dendritic Coincidence Detection for Supervised Learning
Editorial: Recent advances in EEG (non-invasive) based BCI applications
Intelligent recommendation system based on decision model of archive translation tasks
Establishing communication between neuronal populations through competitive entrainment
CRBA: A Competitive Rate-Based Algorithm Based on Competitive Spiking Neural Networks
The Development and Analysis of Integrated Neuroscience Data
Stabilization of a Cart Inverted Pendulum: Improving the Intermittent Feedback Strategy to Match the Limits of Human Performance
Spectro-Temporal Processing in a Two-Stream Computational Model of Auditory Cortex
A Network Architecture for Bidirectional Neurovascular Coupling in Rat Whisker Barrel Cortex
Neural mass modeling of power-line magnetic fields effects on brain activity
A network that performs brute-force conversion of a temporal sequence to a spatial pattern: relevance to odor recognition
Chunking dynamics: heteroclinics in mind
Effects of Cholinergic Neuromodulation on Thalamocortical Rhythms During NREM Sleep: A Model Study
Resolution enhancement in neural networks with dynamical synapses
Implementing Signature Neural Networks with Spiking Neurons
Nonlinear optimal control of a mean-field model of neural population dynamics
Developing a hippocampal neural prosthetic to facilitate human memory encoding and recall of stimulus features and categories
Is there any geometrical information in the nervous system?
Derivation of a Novel Efficient Supervised Learning Algorithm from Cortical-Subcortical Loops
A Neuromechanical Model of Multiple Network Rhythmic Pattern Generators for Forward Locomotion in C. elegans
Modeling multisensory enhancement with self-organizing maps
Relational Dynamics in Perception: Impacts on Trial-to-trial Variation
The Energy Homeostasis Principle: Neuronal Energy Regulation Drives Local Network Dynamics Generating Behavior
Distributed Cerebellar Motor Learning: A Spike-Timing-Dependent Plasticity Model
Complex network analysis of resting state EEG in amnestic mild cognitive impairment patients with type 2 diabetes
Aesthetic perception of visual textures: a holistic exploration using texture analysis, psychological experiment, and perception modeling
Learning modular policies for robotics
Homologous Basal Ganglia Network Models in Physiological and Parkinsonian Conditions
Is Smaller Better? A Proposal to Use Bacteria For Neuroscientific Modeling
Does rhythmic entrainment represent a generalized mechanism for organizing computation in the brain?
From image processing to computational neuroscience: a neural model based on histogram equalization
Cancer Risk Analysis Based on Improved Probabilistic Neural Network
Complex Dynamics of Propagating Waves in a Two-Dimensional Neural Field
Feasibility of 3D Reconstruction of Neural Morphology Using Expansion Microscopy and Barcode-Guided Agglomeration
Spatiotemporal imaging of complexity
A Compositionality Machine Realized by a Hierarchic Architecture of Synfire Chains
Intrinsic calcium resonance and its modulation: insights from computational modeling
The importance of visual features in generic vs. specialized object recognition: a computational study
Adaptation of short-term plasticity parameters via error-driven learning may explain the correlation between activity-dependent synaptic properties, connectivity motifs and target specificity
Quantifying the Brain Predictivity of Artificial Neural Networks With Nonlinear Response Mapping
Editorial: Complexity and emergence in brain network analyses
A computational model of learning flexible navigation in a maze by layout-conforming replay of place cells
Spike-timing control by dendritic plateau potentials in the presence of synaptic barrages
A Computational Model of Attention Control in Multi-Attribute, Context-Dependent Decision Making
Introducing a Comprehensive Framework to Measure Spike-LFP Coupling
Excitation-Inhibition Balanced Neural Networks for Fast Signal Detection
A Markov model for the temporal dynamics of balanced random networks of finite size
A large-scale neural network model of the influence of neuromodulatory levels on working memory and behavior
Dynamic Network Connectivity Analysis to Identify Epileptogenic Zones Based on Stereo-Electroencephalography
Layer-Dependent Attentional Processing by Top-down Signals in a Visual Cortical Microcircuit Model
Some sufficient conditions on hamilton graphs with toughness
Patient-specific approach using data fusion and adversarial training for epileptic seizure prediction
The minimum transition hypothesis for intermittent hierarchical motor control
Neural Coding With Bursts - Current State and Future Perspectives
Corrigendum: Spectral Entropy Based Neuronal Network Synchronization Analysis Based on Microelectrode Array Measurements
Effects of fixational eye movements on retinal ganglion cell responses: a modelling study
Short-term postsynaptic plasticity facilitates predictive tracking in continuous attractors
Self-organization of synchronous activity propagation in neuronal networks driven by local excitation
Free-Energy Model of Emotion Potential: Modeling Arousal Potential as Information Content Induced by Complexity and Novelty
Individualized connectomic tACS immediately improves oscillatory network with language facilitation in post-stroke aphasia: a feasibility study of a dysfunctome-based targeting approach
Classification of EEG Signals Based on Pattern Recognition Approach
Editorial: Computational intelligence for signal and image processing, volume II
Single-trial linear correlation analysis: application to characterization of stimulus modality effects
The situated HKB model: how sensorimotor spatial coupling can alter oscillatory brain dynamics
Experience-driven formation of parts-based representations in a model of layered visual memory
Contextual Integration in Cortical and Convolutional Neural Networks
Theoretical Analysis of Transcranial Magneto-Acoustical Stimulation with Hodgkin-Huxley Neuron Model
Cross-Frequency Slow Oscillation-Spindle Coupling in a Biophysically Realistic Thalamocortical Neural Mass Model
Synchronization, Stochasticity, and Phase Waves in Neuronal Networks With Spatially-Structured Connectivity
Disrupted visual input unveils the computational details of artificial neural networks for face perception
Models of Metaplasticity: A Review of Concepts
The Connectivity Fingerprints of Highly-Skilled and Disordered Reading Persist Across Cognitive Domains
Tutorial: using NEURON for neuromechanical simulations
Direct connections assist neurons to detect correlation in small amplitude noises
Online spike-based recognition of digits with ultrafast microlaser neurons
Neural oscillation in low-rank SNNs: bridging network dynamics and cognitive function
Role of movement in long-term basal ganglia changes: implications for abnormal motor responses
Complexity-based graph convolutional neural network for epilepsy diagnosis in normal, acute, and chronic stages
Biological oscillations for learning walking coordination: dynamic recurrent neural network functionally models physiological central pattern generator
Simulated dynamical transitions in a heterogeneous marmoset pFC cluster
Understanding Epileptiform After-Discharges as Rhythmic Oscillatory Transients
Analysis of Synaptic Scaling in Combination with Hebbian Plasticity in Several Simple Networks
Discrete Dynamics of Dynamic Neural Fields
Synchronization and Inter-Layer Interactions of Noise-Driven Neural Networks
Machine Learning to Predict Brain Amyloid Pathology in Pre-dementia Alzheimer's Disease Using QEEG Features and Genetic Algorithm Heuristic
Coordinated Alpha and Gamma Control of Muscles and Spindles in Movement and Posture
Can Deep Learning Hit a Moving Target? A Scoping Review of Its Role to Study Neurological Disorders in Children
Mathematical processing of trading strategy based on long short-term memory neural network model
Spiking Signatures of Spontaneous Activity Bursts in Hippocampal Cultures
How do synapses measure milliseconds?
Retraction: Cerebral microbleed detection via convolutional neural network and extreme learning machine
Towards an understanding of the roles of visual areas MT and MST in computing speed
Dynamics of Networks of Excitatory and Inhibitory Neurons in Response to Time-Dependent Inputs
Rapid, parallel path planning by propagating wavefronts of spiking neural activity
Corrigendum: Attention in Psychology, Neuroscience, and Machine Learning
Bayesian Inference of Synaptic Quantal Parameters from Correlated Vesicle Release
Hardware Design for Autonomous Bayesian Networks
A computational model for preplay in the hippocampus
Multi-atlas ensemble graph neural network model for major depressive disorder detection using functional MRI data
NeuroFusionNet: cross-modal modeling from brain activity to visual understanding
Research on efficient feature extraction: Improving YOLOv5 backbone for facial expression detection in live streaming scenes
Invariant Visual Object and Face Recognition: Neural and Computational Bases, and a Model, VisNet
Stochastic non-linear oscillator models of EEG: the Alzheimer's disease case
Computational Analysis of the Hypothalamic Control of Food Intake
Calcium, synaptic plasticity and intrinsic homeostasis in Purkinje neuron models
Predictive coding with spiking neurons and feedforward gist signaling
Simplex polynomial in complex networks and its applications to compute the Euler characteristic
Principles of Mutual Information Maximization and Energy Minimization Affect the Activation Patterns of Large Scale Networks in the Brain
A Systematic Framework for Olfactory Bulb Signal Transformations
Reactive, Proactive, and Inductive Agents: An Evolutionary Path for Biological and Artificial Spiking Networks
Bayesian Modeling of the Dynamics of Phase Modulations and their Application to Auditory Event Related Potentials at Different Loudness Scales
Homeostatic role of heterosynaptic plasticity: models and experiments
Effect of Stimulus Contrast and Visual Attention on Spike-Gamma Phase Relationship in Macaque Primary Visual Cortex
Harmonic Training and the Formation of Pitch Representation in a Neural Network Model of the Auditory Brain
EEG Based Monitoring of General Anesthesia: Taking the Next Steps
Multi-Granularity Analysis of Brain Networks Assembled With Intra-Frequency and Cross-Frequency Phase Coupling for Human EEG After Stroke
Communication Structure of Cortical Networks
Learning Generative State Space Models for Active Inference
Leveraging conscious and nonconscious learning for efficient AI
Machine learning algorithm performance evaluation in structural magnetic resonance imaging-based classification of pediatric bipolar disorders type I patients