yusuke1997/dblp-id-title huggingface dataset:
Awaking and sleeping of a complex network
Graph based multi-agent reinforcement learning with evolutionary population for cooperation
Hit the spot: Reachability guided subgoal generation for hierarchical reinforcement learning in stochastic environments
Editorial for 2007: Another year of exciting special issues!
Accelerating deep learning with memcomputing
Free energy model of emotional valence in dual-process perceptions
LMcast: A pretrained language model guided long-term memory transformer for precipitation nowcasting
Robust generalized PCA for enhancing discriminability and recoverability
Recruitment of reticulospinal neurones and steady locomotion in lamprey
Optimally regularised kernel Fisher discriminant classification
Successes and critical failures of neural networks in capturing human-like speech recognition
Task-relevant and task-irrelevant variability causally shape error-based motor learning
Shaping attraction basins in neural networks
A model visual cortex incorporating intrinsic horizontal neuronal connections
Reinforcement learning solution for HJB equation arising in constrained optimal control problem
Correctformer: A transformer architecture for correcting periodic drift in time-series forecasting
Phase-disorder-induced firing activity in excitable neuronal networks with attractive and repulsive coupling
Adaptive hamming net: A fast-learning ART 1 model without searching
Wavelet neural networks: A practical guide
Collaborative bi-aggregation for directed graph embedding
Recall via transient neuronal firing
Noise-robust voice conversion with domain adversarial training
Detecting cell assemblies by NMF-based clustering from calcium imaging data
Adaptive control of nonlinear multivariable systems using neural networks
Generalized neural networks for spectral analysis: dynamics and Liapunov functions
Nonlinear spectro-temporal features based on a cochlear model for automatic speech recognition in a noisy situation
A novel approach to extracting features from motif content and protein composition for protein sequence classification
Matrix exponential based discriminant locality preserving projections for feature extraction
Revisiting the fragility of influence functions
Independence: a new criterion for the analysis of the electromagnetic fields in the global brain?
Self-organizing maps based on limit cycle attractors
Minimum distance automata in parallel networks for optimum classification
Training much deeper spiking neural networks with a small number of time-steps
A bistable computational model of recurring epileptiform activity as observed in rodent slice preparations
Network generalization differences quantified
Recommender system based on scarce information mining
Estimating heading from optic flow: Comparing deep learning network and human performance
Distributed parameter estimation in unreliable sensor networks via broadcast gossip algorithms
Reliability of internal prediction/estimation and its application. I. Adaptive action selection reflecting reliability of value function
Multivariate Student-t self-organizing maps
Model-based reinforcement learning with dimension reduction
Unsupervised learning of disentangled representations in deep restricted kernel machines with orthogonality constraints
A convergence theorem for the modified delta rule
Simbrain 3.0: A flexible, visually-oriented neural network simulator
Output contraction analysis of discrete-time nonlinear systems with an application to RNNs
Response to letter by E. V. Krishnamurthy
A new approach to a maximum a posteriori-based kernel classification method
Multi-scale object equalization learning network for intracerebral hemorrhage region segmentation
Storage and recall capabilities of fuzzy morphological associative memories with adjunction-based learning
Exponential synchronization for reaction-diffusion networks with mixed delays in terms of p-norm via intermittent driving
Low-Rank Representation with Empirical Kernel Space Embedding of Manifolds
Adaptive spatial feature extraction and graphical feature awareness for robust point cloud registration
Discrete-time robust event-triggered actuator fault-tolerant control based on adaptive networks and reinforcement learning
Noise-induced order in the randomly asymmetric Hopfield model
Delayed knowledge transfer: Cross-modal knowledge transfer from delayed stimulus to EEG for continuous attention detection based on spike-represented EEG signals
Restoring partly occluded patterns: a neural network model
GO-MAE: Self-supervised pre-training via masked autoencoder for OCT image classification of gynecology
Dual Distillation Discriminator Networks for Domain Adaptive Few-Shot Learning
Introduction: new developments in self-organising maps
PMTE-LLM:An LLM-based time series forecasting method using professional mechanism and training experience
An empirical evaluation of active inference in multi-armed bandits
A noisy label and negative sample robust loss function for DNN-based distant supervised relation extraction
A complex-valued neural dynamical optimization approach and its stability analysis
Assessing self organizing maps via contiguity analysis
Sparsity through evolutionary pruning prevents neuronal networks from overfitting
Neural network for a class of sparse optimization with L0-regularization
Kernel-based topographic map formation achieved with an information-theoretic approach
Comprehensive disentanglement with fine-grained feature mitigation for domain generalization
2DPCA with L1-norm for simultaneously robust and sparse modelling
Depth of treatment sensitive noise resistant dynamic artificial neural networks model of recall in people with prosopagnosia
Convergence and attractivity of memristor-based cellular neural networks with time delays
Toyota Prius HEV neurocontrol and diagnostics
A learning rule based on empirically-derived activity-dependent neuromodulation supports operant conditioning in a small network
Fokker-Planck approach to the pulse packet propagation in synfire chain
A spiking neural network-based long-term prediction system for biogas production
Observer-based differential evolution constrained control for safe reference tracking in robots
Weighted Incremental-Decremental Support Vector Machines for concept drift with shifting window
Generalized relevance learning vector quantization
Two methods for encoding clusters
High-order diversity feature learning for pedestrian attribute recognition
Fast mesh data augmentation via Chebyshev polynomial of spectral filtering
A Fast SVD-Hidden-nodes based Extreme Learning Machine for Large-Scale Data Analytics
Gradient-based optimization for quantum architecture search
Hebbian semi-supervised learning in a sample efficiency setting
Deep dual incomplete multi-view multi-label classification via label semantic-guided contrastive learning
Preserving differential privacy in deep neural networks with relevance-based adaptive noise imposition
Adaptive neural network asymptotic tracking control for nonstrict feedback stochastic nonlinear systems
Multi-view clustering on data with partial instances and clusters
Content-aware convolutional neural networks
Cooperation and competition between lateral and medial perforant path synapses in the dentate gyrus
Partial label learning: Taxonomy, analysis and outlook
Social babbling: The emergence of symbolic gestures and words
Bifurcations in a fractional-order BAM neural network with four different delays
Firing rate modulation: A simple statistical view of memory trace reactivation
Mean-square exponential input-to-state stability of delayed Cohen-Grossberg neural networks with Markovian switching based on vector Lyapunov functions
A forecast-based STDP rule suitable for neuromorphic implementation
Sigma-delta cellular neural network for 2D modulation
Radar target recognition using a radial basis function neural network
Convergence analysis of local feature extraction algorithms
Composite adaptive control with locally weighted statistical learning
Mathematical expression recognition using a new deep neural model
Explorations of the mean field theory learning algorithm
Towards complex dynamic physics system simulation with graph neural ordinary equations
Merging Back-propagation and Hebbian Learning Rules for Robust Classifications
Coupled generative adversarial stacked Auto-encoder: CoGASA
SPD-Updater: Symmetric positive definite manifold geometry based temporal updating for visual object tracking
Modeling of autonomous problem solving process by dynamic construction of task models in multiple tasks environment
Distributed zero-sum differential game for multi-agent systems in strict-feedback form with input saturation and output constraint
Branching time active inference: Empirical study and complexity class analysis
Use of non-uniform spatial blur for image comparison: symmetry axis extraction
Neural mind reading of multi-dimensional decisions by monkey mid-brain activity
Content preserving image translation with texture co-occurrence and spatial self-similarity for texture debiasing and domain adaptation
Modulating grid cell scale and intrinsic frequencies via slow high-threshold conductances: A simplified model
Classical conditioning of motor responses: What is the learning mechanism?
The Deep Learning Generative Adversarial Random Neural Network in data marketplaces: The digital creative
Pattern-based learning and control for a class of sampled-data nonlinear systems
Long-term causal effects estimation via latent surrogates representation learning
Energy efficient and robust rhythmic limb movement by central pattern generators
AMSA-YOLO: Real-time object detection with adaptive multi-scale attention mechanism
Medical image segmentation network based on multi-scale frequency domain filter
Event-triggered impulsive quasi-synchronization for BAM neural networks with reliable redundant channel
Shaping up simple cell's receptive field of animal vision by ICA and its application in navigation system
Static and dynamic stabilizing neural controllers, applicable to transition between equilibrium points
Provable training of a ReLU gate with an iterative non-gradient algorithm
On-line learning in RBF neural networks: a stochastic approach
HMgNO: Hybrid multigrid neural operator with low-order numerical solver for partial differential equations
Optimization of the hidden unit function in feedforward neural networks
Real-time simulation of a spiking neural network model of the basal ganglia circuitry using general purpose computing on graphics processing units
A modular artificial neural network for texture processing
On delayed impulsive Hopfield neural networks
An object detection-based model for automated screening of stem-cells senescence during drug screening
Learn to explain transformer via interpretation path by reinforcement learning
New approach to global Mittag-Leffler synchronization problem of fractional-order quaternion-valued BAM neural networks based on a new inequality
Key features-guided Multi-View Collaborative Network for image captioning
Synchronization and desynchronization of neural oscillators
Sustained oscillations in a symmetric cooperative-competitive neural network: Disproof of a conjecture about content addressable memory
A novel twin parametric-margin support vector machine with capped asymmetric elastic net loss
Solving graph data issues using a layered architecture approach with applications to web spam detection
Uncertainty-based modulation for lifelong learning
CMAC with General Basis Functions
A dynamic ensemble learning model for robust Graph Neural Networks
Quasi-synchronization of fractional-order multi-layer networks with mismatched parameters via delay-dependent impulsive feedback control
Semantically-based priors and nuanced knowledge core for Big Data, Social AI, and language understanding
Information geometry of the EM and em algorithms for neural networks
Quick fuzzy backpropagation algorithm
Dopamine controls fundamental cognitive operations of multi-target spatial working memory
Deep multi-kernel auto-encoder network for clustering brain functional connectivity data
Neural modeling and functional brain imaging: an overview
Neural computing approach to number theory problems
A neurodynamic optimization approach for complex-variables programming problem
Auditory perception architecture with spiking neural network and implementation on FPGA
A time-delay neural network for solving time-dependent shortest path problem
NEUROM: a ROM based RNS digital neuron
Spatial-spectral multi-order gated aggregation network with bidirectional interactive fusion for hyperspectral image classification
Knowledge-distillation based personalized federated learning with distribution constraints
Neural network approach for robust and fast calculation of physical processes in numerical environmental models: Compound parameterization with a quality control of larger errors
A balanced motor primitive framework can simultaneously explain motor learning in unimanual and bimanual movements
Analysis of the rate of convergence of least squares neural network regression estimates in case of measurement errors
Fixed-time synchronization of quaternion-valued memristive neural networks with time delays
Functional connectivity inference from fMRI data using multivariate information measures
Relation prediction in knowledge graphs: A self-organizing neural network approach
Multilayer bootstrap networks
A Multi-Group Multi-Stream attribute Attention network for fine-grained zero-shot learning
PC-GAIN: Pseudo-label conditional generative adversarial imputation networks for incomplete data
Time Domain Parameters as a feature for EEG-based Brain-Computer Interfaces
Neural mapping and parallel optical flow computation for autonomous navigation
Enhancing graph neural networks through universal self-knowledge distillation
Computational algorithms and neuronal network models underlying decision processes
Maintaining the Publication Infrastructure in a Worldwide Pandemic
Cross-person activity recognition using reduced kernel extreme learning machine
On the study of cellular nonlinear networks via amplitude and phase dynamics
Human-guided auto-labeling for network traffic data: The GELM approach
Snapping: A paradigm for modeling coordination of motor synergies
Context selectivity with dynamic availability enables lifelong continual learning
A survey on representation learning for multi-view data
Joining distributed pattern processing and homeostatic plasticity in recurrent on-center off-surround shunting networks: Noise, saturation, short-term memory, synaptic scaling, and BDNF
Redundant arm kinematic control with recurrent loop
Model-free motion control of continuum robots based on a zeroing neurodynamic approach
Low-rank tensor constrained co-regularized multi-view spectral clustering
On learning ?-perceptron networks on the uniform distribution
V2IED: Dual-view learning framework for detecting events of interictal epileptiform discharges
Adaptive non-negative projective semi-supervised learning for inductive classification
Pinning synchronization of memristor-based neural networks with time-varying delays
Benchmarking the performance of backpropagation and couterpropagation networks
DDP-DAR: Network intrusion detection based on denoising diffusion probabilistic model and dual-attention residual network
Phase relations of theta oscillations in a computer model of the hippocampal CA1 field: Key role of Schaffer collaterals
Meta attention for Off-Policy Actor-Critic
Sensory adaptation in human balance control: Lessons for biomimetic robotic bipeds
Global exponential periodicity and global exponential stability of a class of recurrent neural networks with various activation functions and time-varying delays
Overlapping community detection via Layer-Jaccard similarity incorporated nonnegative matrix factorization
Two-timescale neurodynamic approaches to supervised feature selection based on alternative problem formulations
Single Neuron with Recurrent Excitation: Effect of the Transmission Delay
Three learning phases for radial-basis-function networks
How language can help discrimination in the Neural Modelling Fields framework
Distributed continuous-time accelerated neurodynamic approaches for sparse recovery via smooth approximation to L1-minimization
Supervised orthogonal discriminant subspace projects learning for face recognition
Semantic-Rearrangement-based Hierarchical Alignment for domain generalized segmentation
Adaptive bias-variance trade-off in advantage estimator for actor-critic algorithms
The Kolmogorov-Arnold representation theorem revisited
Contrastive graph auto-encoder for graph embedding
The recurrent Hopfield mass model: Scalability and optimization
Space-rate coding in an adaptive silicon neuron
Self-sustaining non-repetitive activity in a large scale neuronal-level model of the hippocampal circuit
Elevating adversarial robustness by contrastive multitasking defence in medical image segmentation
Pipelining of Fuzzy ARTMAP without matchtracking: Correctness, performance bound, and Beowulf evaluation
On periodic solutions of neural networks via differential inclusions
Asymmetric mean-field neural networks for multiprocessor scheduling
Neural network-based event-triggered data-driven control of disturbed nonlinear systems with quantized input
Investigating object compositionality in Generative Adversarial Networks
Adaptive fast local discriminant analysis with whitening transform
Exploring continual learning strategies in artificial neural networks through graph-based analysis of connectivity: Insights from a brain-inspired perspective
Stabilizing machine learning prediction of dynamics: Novel noise-inspired regularization tested with reservoir computing
Real-world blind super-resolution using stereoscopic feature and coupled optimization
A Novel Event-triggered Practical Prescribed-Time Control for four Complex coupled Duffing-type MEMS resonators with Prescribed Performance
Computer aided diagnosis of schizophrenia on resting state fMRI data by ensembles of ELM
A multi-agent reinforcement learning framework for cross-domain sequential recommendation
VC dimension of Graph Neural Networks with Pfaffian activation functions
Dictionary trained attention constrained low rank and sparse autoencoder for hyperspectral anomaly detection
The architecture design and training optimization of spiking neural network with low-latency and high-performance for classification and segmentation
Self-learning robust optimal control for continuous-time nonlinear systems with mismatched disturbances
Spatiotemporal dynamics in the cortical microcircuit: A modelling study of primary visual cortex layer 2/3
Neural Q-learning for discrete-time nonlinear zero-sum games with adjustable convergence rate
ExpGCN: Review-aware Graph Convolution Network for explainable recommendation
Non-Invasive Analysis of Awareness
Vector quantization of images based upon the kohonen self-organization feature maps
Stability of delayed inertial neural networks on time scales: A unified matrix-measure approach
Boundary uncertainty aware network for automated polyp segmentation
Feature-Tuning Hierarchical Transformer via token communication and sample aggregation constraint for object re-identification
ATNAS: Automatic Termination for Neural Architecture Search
Effects of parity, frustration, and stochastic fluctuations on integrated conceptual information for networks with two small-sized loops
Are computational models of any use to psychiatry?
Edge of chaos and prediction of computational performance for neural circuit models
Feature extraction framework based on contrastive learning with adaptive positive and negative samples
Generative commonsense knowledge subgraph retrieval for open-domain dialogue response generation
Dynamic neural network-based robust observers for uncertain nonlinear systems
Granger-TSllm: Granger causality enhanced LLMs with residual-quantized tokenizer for multivariate time series forecasting
Topology identification for stochastic multi-layer networks via graph-theoretic method
Synchronization of coupled neural networks under mixed impulsive effects: A novel delay inequality approach
Resilient fault-tolerant anti-synchronization for stochastic delayed reaction-diffusion neural networks with semi-Markov jump parameters
Deep neural networks with a set of node-wise varying activation functions
New optimization algorithms for neural network training using operator splitting techniques
Comments about Hartstein and Koch : Neural Networks, 1989, 2, 395-403
Ascertaining neuron importance by information theoretical analysis in motor Brain-Machine Interfaces
Approximation of functions on a compact set by finite sums of a sigmoid function without scaling
Toward fair graph neural networks via dual-teacher knowledge distillation
From memory-based decisions to decision-based movements: A model of interval discrimination followed by action selection
Beyond single perspective bias: Fusing personalized and common preferences for comprehensive personal preference learning
Deep learning-accelerated computational framework based on Physics Informed Neural Network for the solution of linear elasticity
Neuroplasticity in dynamic neural networks comprised of neurons attached to adaptive base plate
Dynamic behaviors of the FitzHugh-Nagumo neuron model with state-dependent impulsive effects
Neural models for temporal encoding of information by the auditory periphery and for temporal processing in the anteroventral cochlear nucleus of cat
Open-world electrocardiogram classification via domain knowledge-driven contrastive learning
Multi-grained visual pivot-guided multi-modal neural machine translation with text-aware cross-modal contrastive disentangling
Near-field millimeter-wave and visible image fusion via transfer learning
Small-world networks in neuronal populations: A computational perspective
Encoding primitives generation policy learning for robotic arm to overcome catastrophic forgetting in sequential multi-tasks learning
A solution of the figure-ground problem for biological vision
Fourier analysis of the generalized CMAC neural network
MicroRNA expression profile based cancer classification using Default ARTMAP
Online reservoir adaptation by intrinsic plasticity for backpropagation-decorrelation and echo state learning
Global exponential stability of nonautonomous neural network models with unbounded delays
Competitive hebbian learning: Algorithm and demonstrations
An insect-inspired model facilitating autonomous navigation by incorporating goal approaching and collision avoidance
Existence and global exponential stability of periodic solution for high-order discrete-time BAM neural networks
On the Q -state neuron problem in attractor neural networks
Interplay between depth and width for interpolation in neural ODEs
An analytical model of lateral inhibition in the visual system
Novel bifurcation results for a delayed fractional-order quaternion-valued neural network
GeM: Gaussian embeddings with Multi-hop graph transfer for next POI recommendation
Constructing associative memories using neural networks
CariGAN: Caricature generation through weakly paired adversarial learning
A balanced neural tree for pattern classification
ERANet: Edge replacement augmentation for semi-supervised meniscus segmentation with prototype consistency alignment and conditional self-training
H∞ master-slave synchronization for delayed impulsive implicit hybrid neural networks based on memory-state feedback control
Forecasting stochastic neural network based on financial empirical mode decomposition
LJIR: Learning Joint-Action Intrinsic Reward in cooperative multi-agent reinforcement learning
Adaptive-weighted deep multi-view clustering with uniform scale representation
A differential Hebbian framework for biologically-plausible motor control
Contextually guided unsupervised learning using local multivariate binary processors
Dynamical behaviors for discontinuous and delayed neural networks in the framework of Filippov differential inclusions
On decision regions of narrow deep neural networks
A pruning method for the recursive least squared algorithm
Emergence of structured interactions: From a theoretical model to pragmatic robotics
Meta-learning in Reinforcement Learning