yusuke1997/dblp-id-title huggingface dataset:
Max-plus and min-plus projection autoassociative morphological memories and their compositions for pattern classification
Topographic shear and the relation of ocular dominance columns to orientation columns in primate and cat visual cortex
Global polynomial synchronization of neural networks with bidirectional proportional delays via adaptive pinning control and its application in image encryption
Can dictionary-based computational models outperform the best linear ones?
Cluster synchronization in an array of hybrid coupled neural networks with delay
Visual learning, adaptive expectations, and behavioral conditioning of the mobile robot MAVIN
RoMAT: Role-based multi-agent transformer for generalizable heterogeneous cooperation
Synaptic pruning facilitates online Bayesian model selection
FSDM: An efficient video super-resolution method based on Frames-Shift Diffusion Model
A neural network approach to character recognition
Unified Knowledge-Guided Molecular Graph Encoder with multimodal fusion and multi-task learning
Robustness of learning algorithms using hinge loss with outlier indicators
Spatiotemporal signal classification via principal components of reservoir states
A pruning feedforward small-world neural network based on Katz centrality for nonlinear system modeling
Lightweight image super-resolution based multi-order gated aggregation network
Target recognition using adaptive resonance neural networks
Augmented Graph Neural Network with hierarchical global-based residual connections
Twinned principal curves
Adaptive window adjustment with boundary DoU loss for cascade segmentation of anatomy and lesions in prostate cancer using bpMRI
Learning movement sequences with a delayed reward signal in a hierarchical model of motor function
Estimation of genuine and random synchronization in multivariate neural series
Self-organizing information fusion and hierarchical knowledge discovery: a new framework using ARTMAP neural networks
Weakly supervised multi-modal imitation learning from incompletely labeled demonstrations
Coordination as inference in multi-agent reinforcement learning
A unified robust framework for multi-view feature extraction with L2, 1-norm constraint
Genetically Trained Cellular Neural Networks
Neural expert systems
A note on variational Bayesian factor analysis
Pay more attention to the robustness of LLMs on adversarial prompt for instruction data mining
Decoupling visual and identity features for adversarial palm-vein image attack
Domain-adaptive message passing graph neural network
Classifier and shift-invariant automatic target recognition neural networks
Improved learning of Riemannian metrics for exploratory analysis
SODAS: Second-order optimization differential architecture search for diabetic retinopathy prediction
Associative morphological memories based on variations of the kernel and dual kernel methods
Efficient learning of Scale-Adaptive Nearly Affine Invariant Networks
Recovering Permuted Sequential Features for effective Reinforcement Learning
S3-Net: Learning spectral-spatio self-similarity for hyperspectral image super-resolution
Generalized radial basis function networks for classification and novelty detection: self-organization of optimal Bayesian decision
Autonomous spiking neural P systems with coupled neurons
Neural networks and the experience and cultivation of mind
Feedback-error-learning neural network for trajectory control of a robotic manipulator
Safe semi-supervised learning based on weighted likelihood
Partially pre-calculated weights for the backpropagation learning regime and high accuracy function mapping using continuous input RAM-based sigma-pi nets
Projective synchronization for fractional neural networks
SDEIT: Semantic-Driven Electrical Impedance Tomography
Subject independent facial expression recognition with robust face detection using a convolutional neural network
Synergetic learning structure-based neuro-optimal fault tolerant control for unknown nonlinear systems
AFINet: Attentive Feature Integration Networks for image classification
Multi-projection of unequal dimension optimal transport theory for Generative Adversary Networks
A biologically-based computational model of visual cortex that overcomes the X-junction illusion
Model-free forecasting of partially observable spatiotemporally chaotic systems
Auditory filter simulations for perceptual processes of bird vocalizations
Simplex Memory Neural Networks
Partial distortion entropy maximization for online data clustering
Classification-based prediction of network connectivity robustness
Mittag-Leffler stability of fractional-order neural networks in the presence of generalized piecewise constant arguments
Projective synchronization of fractional-order memristor-based neural networks
Cross-modal guiding and reweighting network for multi-modal RSVP-based target detection
Consideration on the learning efficiency of multiple-layered neural networks with linear units
Dopamine-dependent plasticity of corticostriatal synapses
Stereopsis and 3D surface perception by spiking neurons in laminar cortical circuits: A method for converting neural rate models into spiking models
Direct Kernel Perceptron (DKP): Ultra-fast kernel ELM-based classification with non-iterative closed-form weight calculation
A federated vehicle re-identification benchmark and performance optimization using dual-phase contrastive dynamic aggregation
Global exponential stability and lag synchronization for delayed memristive fuzzy Cohen-Grossberg BAM neural networks with impulses
Adaptive pseudo-Siamese policy network for temporal knowledge prediction
PDE-LEARN: Using deep learning to discover partial differential equations from noisy, limited data
A learning rule for very simple universal approximators consisting of a single layer of perceptrons
RepCo: Replenish sample views with better consistency for contrastive learning
Radiology report generation via visual-semantic ambivalence-aware network and focal self-critical sequence training
JFDI: Joint Feature Differentiation and Interaction for domain adaptive object detection
A network of chaotic elements for information processing
Mental image reconstruction from human brain activity: Neural decoding of mental imagery via deep neural network-based Bayesian estimation
Extraction of visual motion and optic flow
Experiments for isolated-word recognition with single- and two-layer perceptrons
Bayesian estimation of phase response curves
Metaheuristics optimization-based ensemble of deep neural networks for Mpox disease detection
TAO-robust backpropagation learning algorithm
A learnable sampling method for scalable graph neural networks
Dynamic graph-based bilateral recurrent imputation network for multivariate time series
Stochastic exponential synchronization of memristive neural networks with time-varying delays via quantized control
Value iteration for streaming data on a continuous space with gradient method in an RKHS
On the stability analysis of delayed neural networks systems
Adversarial incomplete multi-view clustering with adaptive contrastive learning
Autoencoder networks extract latent variables and encode these variables in their connectomes
Gap junctions facilitate propagation of synchronous firing in the cortical neural population: A numerical simulation study
Mixing neural networks, continuation and symbolic computation to solve parametric systems of non linear equations
Weakly semi-supervised cardiac MRI segmentation with frequency-domain pseudo label dynamic mixed supervision and partial-dice constraints
Dynamic node architecture learning: An information theoretic approach
MuDE: Multi-agent decomposed reward-based exploration
Resilient event-triggering adaptive neural network control for networked systems under mixed cyber attacks
Categorization and decision-making in a neurobiologically plausible spiking network using a STDP-like learning rule
A new hybrid learning control system for robots based on spiking neural networks
Capacity analysis for a two-level decoupled Hamming network for associative memory under a noisy environment
Asynchronous frameless event-based optical flow
Physical reservoir computing on a soft bio-inspired swimmer
A non-penalty recurrent neural network for solving a class of constrained optimization problems
A novel joint-processing adaptive nonlinear equalizer using a modular recurrent neural network for chaotic communication systems
Cross-layer importance evaluation for neural network pruning
Neurovista: A bidirectional masked cross-Modal fusion network for robust EEG-to-Image decoding
Learning in higher order Boltzmann machines using linear response
Noise further expresses exponential decay for globally exponentially stable time-varying delayed neural networks
A regularization approach to continuous learning with an application to financial derivatives pricing
A neural network-like critic for reinforcement learning
Information theory-guided heuristic progressive multi-view coding
A method for training recurrent neural networks for classification by building basins of attraction
MI-DAGSC: A domain adaptation approach incorporating comprehensive information from MI-EEG signals
Image processing regularization filters on layered architecture
SADST: Style-aware dynamic style transfer for domain generalized semantic segmentation
C3GAN: A brain-inspired memory consolidation for class-incremental learning
Improved bidirectional retrieval of sparse patterns stored by Hebbian learning
Communication, concepts and grounding
Approximation rates for neural networks with general activation functions
A minimum error neural network (MNN)
Tumor attention networks: Better feature selection, better tumor segmentation
Learning clustering-friendly representations via partial information discrimination and cross-level interaction
A fixed- time neurodynamic approach for fused lasso problems
Learning in compressed space
Applying Convolutional Neural Networks to data on unstructured meshes with space-filling curves
Continual pre-training mitigates forgetting in language and vision
Unsupervised learnable neuron model with nonlinear interaction on dendrites
Stability analysis of switched cellular neural networks: A mode-dependent average dwell time approach
Efficient search for informational cores in complex systems: Application to brain networks
Spontaneous scale-free structure of spike flow graphs in recurrent neural networks
Brain-inspired behavioral decision-making of mobile robots based on the motivated developmental network
DyGraphformer: Transformer combining dynamic spatio-temporal graph network for multivariate time series forecasting
AttCo: Attention-based co-Learning fusion of deep feature representation for medical image segmentation using multimodality
A class of finite-time dual neural networks for solving quadratic programming problems and its k -winners-take-all application
A modular neural network architecture for step-wise learning of grasping tasks
Self-organization using Potts models
Bridging flexible goal-directed cognition and consciousness: The Goal-Aligning Representation Internal Manipulation theory
Multistability analysis of a general class of recurrent neural networks with non-monotonic activation functions and time-varying delays
FTA2C: Achieving superior trade-off between accuracy and robustness in adversarial training
An improved stability result for delayed Takagi-Sugeno fuzzy Cohen-Grossberg neural networks
Classification of trajectories - Extracting invariants with a neural network
New training strategies for constructive neural networks with application to regression problems
MV-SHIF: Multi-view symmetric hypothesis inference fusion network for emotion-cause pair extraction in documents
Dimension reduction, generalized deformable models and the development of ocularity and orientation
Enhancing feature discrimination with pseudo-labels for foundation model in segmentation of 3D medical images
CEVG-RTNet: A real-time architecture for robust forest fire smoke detection in complex environments
MuSIA: Exploiting multi-source information fusion with abnormal activations for out-of-distribution detection
Representation and separation of signals using nonlinear PCA type learning
Evaluating performance of neural codes in model neural communication networks
Breaking CAPTCHA with Capsule Networks
Natural learning in NLDA networks
Biological engineering applications of feedforward neural networks designed and parameterized by genetic algorithms
BRSR-OpGAN: Blind radar signal restoration using operational generative adversarial network
Statistical analysis of self-organization
Dual-tower model with semantic perception and timespan-coupled hypergraph for next-basket recommendation
DGSD: Dynamical graph self-distillation for EEG-based auditory spatial attention detection
Event-triggered adaptive dynamic programming for decentralized tracking control of input constrained unknown nonlinear interconnected systems
JCCMTM: Joint channel-independent and channel-dependent strategy for masked multivariate time-series modeling
Modeling some effects of frontal lobe damage--Novelty and perseveration
Spiking neural networks for deep learning and knowledge representation: Editorial
Novel adaptive zeroing neural dynamics schemes for temporally-varying linear equation handling applied to arm path following and target motion positioning
Attribute-driven streaming edge partitioning with reconciliations for distributed graph neural network training
Synchronization of Hindmarsh Rose Neurons
Improving fine-tuning of self-supervised models with Contrastive Initialization
Quantization-aware training for low precision photonic neural networks
A new algorithm for online structure and parameter adaptation of RBF networks
On the exact solution of the Parity-N problem using ordered neural networks
Banzhaf random forests: Cooperative game theory based random forests with consistency
A VLSI three layer perceptron for binary image classification
On-line learning through simple perceptron learning with a margin
A meta-framework for multi-label active learning based on deep reinforcement learning
Advanced deep learning methods for biomedical information analysis: An editorial
Direct density-ratio estimation with dimensionality reduction via least-squares hetero-distributional subspace search
Interacting and communicating connectionist agents
Generalized zero-shot learning via discriminative and transferable disentangled representations
Convergence analysis of deterministic discrete time system of a unified self-stabilizing algorithm for PCA and MCA
Local model for contextual modulation in the cerebral cortex
Frequency Self-Adaptation Graph Neural Network for Unsupervised Graph Anomaly Detection
A computational model of use-dependent motor recovery following a stroke: Optimizing corticospinal activations via reinforcement learning can explain residual capacity and other strength recovery dynamics
Visualizing deep neural network by alternately image blurring and deblurring
Modularity-aware graph autoencoders for joint community detection and link prediction
Introduction to the special issue on 'Brain and Consciousness'
Graph anomaly detection based on hybrid node representation learning
Manifold adversarial training for supervised and semi-supervised learning
A real-coded genetic algorithm for training recurrent neural networks
An adaptive wavelet neural network for spatio-temporal system identification
Human gaze-based dual teacher guidance learning for semi-supervised medical image segmentation
An online incremental orthogonal component analysis method for dimensionality reduction
Analysis and optimal design of continuous neural networks with applications to associative memory
Neuromodulation, theta rhythm and rat spatial navigation
ATA: An Abstract-Train-Abstract approach for explanation-friendly deep reinforcement learning
Self-organization of globally continuous and locally distributed information representation
Novel results on asymptotic stability and synchronization of fractional-order memristive neural networks with time delays: The 0δ≤1 case
A novel Lyapunov stability analysis of neutral-type Cohen-Grossberg neural networks with multiple delays
DNUNet: A lightweight adaptive medical image segmentation network based on dual-path multilevel interactive convolution and norm sparse fusion module
Sliding mode control for uncertain fractional-order reaction-diffusion memristor neural networks with time delays
Chaotic simulated annealing by a neural network model with transient chaos
Output-based sampled-data control of signed networks via parametric Lyapunov equations approach
Advanced optimal tracking integrating a neural critic technique for asymmetric constrained zero-sum games
BPEN: Brain Posterior Evidential Network for trustworthy brain imaging analysis
Global cluster synchronization in nonlinearly coupled community networks with heterogeneous coupling delays
RAIN: Reconstructed-aware in-context enhancement with graph denoising for session-based recommendation
Classification of gait patterns between patients with Parkinson's disease and healthy controls using phase space reconstruction (PSR), empirical mode decomposition (EMD) and neural networks
Results concerning the absolute stability of delayed neural networks
Properties of block feedback neural networks
Deep learning for symbols detection and classification in engineering drawings
Impact of leakage delay on bifurcation in high-order fractional BAM neural networks
Lower and upper bounds for numbers of linear regions of graph convolutional networks
Temporal structure-preserving transformer for industrial load forecasting
Noise modulation of synaptic weights in a biological neural network
SpikeCLIP: A contrastive language-image pretrained spiking neural network
Fast Heterogeneous Graph Neural Network Generation via Meta Contrastive Learning
EMBANet: A flexible efficient multi-branch attention network
ASRL: Correlation-robust pedestrian attribute recognition via fixed orthogonal classifier
Neural feedback facilitates rough-to-fine information retrieval
A learning rule for neural networks with an application to an optimization problem
SelfVIO: Self-supervised deep monocular Visual-Inertial Odometry and depth estimation
The New ERA in Supervised Learning
Double structure scaled simplex representation for multi-view subspace clustering
Fuzzy classification by fuzzy labeled neural gas
Mutual Correlation Network for few-shot learning
Reinforcement learning for a biped robot based on a CPG-actor-critic method
Associative anticipatory learning and control of the cerebellar cortex based on the spike-timing-dependent plasticity of the parallel fiber-Purkinje cell synapses
Co-attention enabled content-based image retrieval
SLAPP: Subgraph-level attention-based performance prediction for deep learning models
Think positive: An interpretable neural network for image recognition
Phenomenology and digital neural architectures
A polynomial time algorithm for the construction and training of a class of multilayer perceptrons
A neural model of the frontal eye fields with reward-based learning
Integration of form and motion within a generative model of visual cortex
Including cognitive biases and distance-based rewards in a connectionist model of complex problem solving
Neural computation for auditory imaging
Neural robust stabilization via event-triggering mechanism and adaptive learning technique
A Minor Component Analysis Algorithm
A procedure for determining the topology of multilayer feedforward neural networks
Compact hardware liquid state machines on FPGA for real-time speech recognition
Learning the feature distribution similarities for online time series anomaly detection
How adversarial attacks can disrupt seemingly stable accurate classifiers
Dopamine-modulated dynamic cell assemblies generated by the GABAergic striatal microcircuit
Dopamine-induced relaxation of spike synchrony diversifies burst patterns in cultured hippocampal networks
Self-organizing map algorithm and distortion measure
Implementation of Imitation Learning using Natural Learner Central Pattern Generator Neural Networks
Nonnegative spectral embedding learning with adaptive neighbors for multi-view clustering
Exploiting Gaussian agnostic representation learning with diffusion priors for enhanced infrared small target detection
A generalized defect-data-free defect inspection method based on image reconstruction and anomaly detection
Deep predictive coding with bi-directional propagation for classification and reconstruction
Actor-critic models of the basal ganglia: new anatomical and computational perspectives
Advancing oral leukoplakia progression recognition: A benchmark with dataset, method, and application
Some notes on the probabilistic semantics of logistic function parameters in neural networks
SSIM over MSE: A new perspective for video anomaly detection
Multi-objective molecular generation via clustered Pareto-based reinforcement learning
Spacial sampled-data control for H∞ output synchronization of directed coupled reaction-diffusion neural networks with mixed delays
A neural network model of Parkinson's disease bradykinesia
Erratum to: Interpreting hippocampal function as recoding and forecasting [Neural Networks 18 (9) 1242-1264]
Neural network architectures for motion perception and elementary motion detection in the fly visual system
Evaluation of the computational capabilities of a memristive random network (MN 3 ) under the context of reservoir computing
Color Night Vision: Opponent Processing in the Fusion of Visible and IR Imagery
Inferring the location of neurons within an artificial network from their activity
Reproduced neuron-like excitability and bursting synchronization of memristive Josephson junctions loaded inductor
Robust Latent Regression with discriminative regularization by leveraging auxiliary knowledge
Consciousness in a Self-Learning, Memory-Controlled, Compound Machine
A neuromorphic VLSI design for spike timing and rate based synaptic plasticity
An evolutionary morphological approach for software development cost estimation
A multi-memory-augmented network with a curvy metric method for video anomaly detection
Continual learning for recurrent neural networks: An empirical evaluation
B-mode ultrasound based CAD for liver cancers via multi-view privileged information learning
Dynamic network compression via probabilistic channel pruning
Computational analysis of memory capacity in echo state networks
Improving the performance of echo state networks through state feedback
Spherical self-organizing map using efficient indexed geodesic data structure
Estimates of Storage Capacity of Multilayer Perceptron with Threshold Logic Hidden Units
Fading memory and time series prediction in recurrent networks with different forms of plasticity
A 3D deep supervised densely network for small organs of human temporal bone segmentation in CT images
Shapley value-driven multi-modal deep reinforcement learning for complex decision-making
Topology and dynamics of the canonical circuit of cat V1
Notions of Associative Memory and Sparse Coding
A nonlinear extension of the MACE filter
Optimal path determination in a graph by hopfield neural network
Directed EEG neural network analysis by LAPPS (p≤1) Penalized sparse Granger approach
Dual-perspective decoupling network for kidney tumor segmentation on CT images
Properties of learning of a Fuzzy ART Variant
A distributed model of the saccade system: simulations of temporally perturbed saccades using position and velocity feedback
From YouTube to the brain: Transfer learning can improve brain-imaging predictions with deep learning
Coexistence and local stability of multiple equilibrium points for fractional-order state-dependent switched competitive neural networks with time-varying delays
Linear recursive distributed representations
LEESDFormer: A lightweight unsupervised CNN-Transformer-based curve estimation network for low-light image enhancement, exposure suppression, and denoising
Modeling the adaptive visual system: a survey of principled approaches
Augmenting interaction effects in convolutional networks with taylor polynomial gated units
Least Square Fast Learning Network for modeling the combustion efficiency of a 300WM coal-fired boiler