yusuke1997/dblp-id-title huggingface dataset:
Temporally correlated inputs to leaky integrate-and-fire models can reproduce spiking statistics of cortical neurons
Robust data hiding for JPEG images with invertible neural network
Using self-organizing maps to identify potential halo white dwarfs
Using GNG to improve 3D feature extraction - Application to 6DoF egomotion
DF-UDetector : An effective method towards robust deepfake detection via feature restoration
Real-time gun detection in CCTV: An open problem
Statistical tools to assess the reliability of self-organizing maps
Replacing pooling functions in Convolutional Neural Networks by linear combinations of increasing functions
Higher order associative memories and their optical implementations
Complete synchronization of discrete-time fractional-order BAM neural networks with leakage and discrete delays
A learning algorithm for applying synthesized stable dynamics to system identification
Generalization limits of Graph Neural Networks in identity effects learning
Tree-like hierarchical associative memory structures
GBT: Two-stage transformer framework for non-stationary time series forecasting
Self-similar Neural Networks Based on a Kohonen Learning Rule
Multi-level multilingual semantic alignment for zero-shot cross-lingual transfer learning
Event-triggered H∞ consensus for uncertain nonlinear systems using integral sliding mode based adaptive dynamic programming
Parallel retrieval of correlated patterns: From Hopfield networks to Boltzmann machines
Basis operator network: A neural network-based model for learning nonlinear operators via neural basis
Rethinking exploration-exploitation trade-off in reinforcement learning via cognitive consistency
Neural computations of algebraic and geometrical structures
Hierarchical feature extraction on functional brain networks for autism spectrum disorder identification with resting-state fMRI data
Shift invariance and the neocognitron
Dual Global Enhanced Transformer for image captioning
Kernel-free quadratic surface SVM for conditional probability estimation in imbalanced multi-class classification
Daydreaming Hopfield Networks and their surprising effectiveness on correlated data
Self-supervised spatial-temporal contrastive network for EEG-based brain network classification
Is the integrate-and-fire model good enough?--a review
Memory Transmission Based Referring Video Object Segmentation
Memristive nanowires exhibit small-world connectivity
A neural net for blind separation of nonstationary signals
Multitype view of knowledge contrastive learning for recommendation
Optimal attention tuning in a neuro-computational model of the visual cortex-basal ganglia-prefrontal cortex loop
Efficient Backpropagation Learning Using Optimal Learning Rate and Momentum
Research on low-dimensional multivariate information fusion prediction based on space battlefield situation information
A classification-based approach to semi-supervised clustering with pairwise constraints
A systematic method for analyzing robust stability of interval neural networks with time-delays based on stability criteria
Roles for globus pallidus externa revealed in a computational model of action selection in the basal ganglia
Mining multi-channel EEG for its information content: an ANN-based method for a brain-computer interface
Introduction: 1995 special issue automatic target recognition
Bayesian common spatial patterns for multi-subject EEG classification
Quasi-objective nonlinear principal component analysis
Speech separation with artifical neural networks
Multi-modal cross-domain self-supervised pre-training for fMRI and EEG fusion
Source-free unsupervised domain adaptation: A survey
A Comparative Study of Two Neural Methods of Exploratory Projection Pursuit
VARTAC: A foveal active vision ATR system
Exploring the role of texture features in deep convolutional neural networks: Insights from Portilla-Simoncelli statistics
Fading memory as inductive bias in residual recurrent networks
Self-organizing maps: Local competition and evolutionary optimization
Experimentally optimal nu in support vector regression for different noise models and parameter settings
Oculo-motor stabilization reflexes: integration of inertial and visual information
Capturing the grouping and compactness of high-level semantic feature for saliency detection
A deep learning framework for causal shape transformation
Learning slow features with reservoir computing for biologically-inspired robot localization
Structure enhanced prototypical alignment for unsupervised cross-domain node classification
Global-and-local-structure-based neural network for fault detection
An effective low-rank compression with a joint rank selection followed by a compression-friendly training
Application of the kernel method to the inverse geosounding problem
Neural-network-based practical specified-time resilient formation maneuver control for second-order nonlinear multi-robot systems under FDI attacks
Classifier performance estimation under the constraint of a finite sample size: Resampling schemes applied to neural network classifiers
Phasic dopamine as a prediction error of intrinsic and extrinsic reinforcements driving both action acquisition and reward maximization: A simulated robotic study
The cerebellum as a liquid state machine
Improving forward compatibility in class incremental learning by increasing representation rank and feature richness
An Inductive Reasoning Model based on Interpretable Logical Rules over temporal knowledge graph
Deep neural-kernel blocks
Global asymptotic stability of neural networks with discontinuous activations
Bayesian model search for mixture models based on optimizing variational bounds
Global Uniform Asymptotic Fixed Deviation Stability and Stability for Delayed Fractional-order Memristive Neural Networks with Generic Memductance
A neural network simulating human reach-grasp coordination by continuous updating of vector positioning commands
CTF-former: A novel simplified multi-task learning strategy for simultaneous multivariate chaotic time series prediction
An approach based on neural networks for solving time fractional diffusion-wave equation
Robust adaptation regularization based on within-class scatter for domain adaptation
Vortices in brain activity: Their mechanism and significance for perception
Stochastic momentum methods for non-convex learning without bounded assumptions
Regional crowd flow estimation from aerial view
A fast saddle-point dynamical system approach to robust deep learning
Maze learning using state-space search performed by a connectionist network
Response to letter by D. F. Specht
Speed-accuracy trade-off in planned arm movements with delayed feedback
Sparse discriminant PCA based on contrastive learning and class-specificity distribution
FingerPoseNet: A finger-level multitask learning network with residual feature sharing for 3D hand pose estimation
Erratum to: Bounds on the number of hidden neurons in three-layer binary neural networks [Neural Networks 16 (7) 995-1002]
A computational model for shape estimation by integration of shading and edge information
Optimal neurocontroller synthesis for impulse-driven systems
Policy search in continuous action domains: An overview
Sequential Bayesian kernel modelling with non-Gaussian noise
An introduction to neural computing
Towards a network theory of cognition
A method for self-determination of adaptive learning rates in back propagation
A Kendama Learning Robot Based on Bi-directional Theory
A New Family of Multivalued Networks
Decentralized control and local information for robust and adaptive decentralized Deep Reinforcement Learning
A universal ANN-to-SNN framework for achieving high accuracy and low latency deep Spiking Neural Networks
Variational autoencoder for distributional learning via quantile function estimation
Learning online visual invariances for novel objects via supervised and self-supervised training
Stabilization of reaction-diffusion fractional-order memristive neural networks
Intervening on few-shot object detection based on the front-door criterion
Linear embedding by joint Robust Discriminant Analysis and Inter-class Sparsity
A via-point time optimization algorithm for complex sequential trajectory formation
Time series compression using quaternion valued neural networks and quaternion backpropagation
LBMS-SAM: Segment anything model guided SEM image segmentation for lithium battery materials
Towards dropout training for convolutional neural networks
Distant supervision for relation extraction with hierarchical selective attention
Reducing noisy annotations for depression estimation from facial images
Analysis and modeling of massively parallel neural signals - 2010 Special Issue
High-performance deep spiking neural networks via at-most-two-spike exponential coding
A new switching control for finite-time synchronization of memristor-based recurrent neural networks
Phoneme recognition with a neural network: Comparisons of acoustic representations including those produced by an auditory model
Global Mittag-Leffler synchronization of fractional-order neural networks with discontinuous activations
Regularized correntropy criterion based semi-supervised ELM
Stability of Cohen-Grossberg neural networks with time-varying delays
A novel multi-epitopic immune network model hybridized with neural theory and fuzzy concept
A model synapse that incorporates the properties of short- and long-term synaptic plasticity
Optimized face recognition algorithm using radial basis function neural networks and its practical applications
Score mismatching for generative modeling
Symmetric LINEX loss twin support vector machine for robust classification and its fast iterative algorithm
A dynamical neural network approach for solving stochastic two-player zero-sum games
Effects of additional data on Bayesian clustering
Deterministic annealing EM algorithm
Probabilistic Bayesian learning with long-tail awareness for trajectory-user linking
Variational Bayesian least squares: An application to brain-machine interface data
Recurrent neural network with noise rejection for cyclic motion generation of robotic manipulators
Contrastive encoder pre-training-based clustered federated learning for heterogeneous data
Parametric Deformable Exponential Linear Units for deep neural networks
A neural network predicting posterior parietal cortex function in the control of goal-directed arm movements
Synchronization of coupled switched neural networks subject to hybrid stochastic disturbances
Discontinuous Lyapunov approach to state estimation and filtering of jumped systems with sampled-data
Dynamics of neural networks over undirected graphs
Hippocampal replay contributes to within session learning in a temporal difference reinforcement learning model
Policy oscillation is overshooting
Retinal vessel segmentation via a Multi-resolution Contextual Network and adversarial learning
LIIA -Net: A lightweight illumination iterative adjustment network for low-light image enhancement
A self-organizing process for sensory data fusion and situation analysis
Dissipativity and quasi-synchronization for neural networks with discontinuous activations and parameter mismatches
Efficient training of interval Neural Networks for imprecise training data
Discriminative structure learning of sum-product networks for data stream classification
A novel self-supervised graph clustering method with reliable semi-supervision
Threshold learning algorithm for memristive neural network with binary switching behavior
Significance of event related causality (ERC) in eloquent neural networks
Dynamical features simulated by recurrent neural networks
Motif and supernode-enhanced gated graph neural networks for session-based recommendation
Context-aware feature reconstruction for class-incremental anomaly detection and localization
MotionTrack: Learning motion predictor for multiple object tracking
Adaptive dynamic programming-based hierarchical decision-making of non-affine systems
Node transfer with graph contrastive learning for class-imbalanced node classification
Randomized deep Hopfield network with multiple output layers for volatility time series forecasting
Variational policy search using sparse Gaussian process priors for learning multimodal optimal actions
Efficient Training of Recurrent Neural Network with Time Delays
Digital spiking neuron and its learning for approximation of various spike-trains
Visual information processing through the interplay between fine and coarse signal pathways
Speedy alternatives to back propagation
Discovering space - Grounding spatial topology and metric regularity in a naive agent's sensorimotor experience
Spiking neural networks on FPGA: A survey of methodologies and recent advancements
Multi-agent self-attention reinforcement learning for multi-USV hunting target
Variation and selection: An evolutionary model of learning in neural networks
Structure-aware contrastive hashing for unsupervised cross-modal retrieval
A systematic analysis of the joint effects of ganglion cells, lagged LGN cells, and intercortical inhibition on spatiotemporal processing and direction selectivity
Synthesis of high-complexity rhythmic signals for closed-loop electrical neuromodulation
Experiments in nonconvex optimization: Stochastic approximation with function smoothing and simulated annealing
Achieving faithful explainability in feedforward neural networks through accurately computed feature attribution
Development and application of a neuroinformatics environment for neuroscience and neuroethology
Synthetic event-related potentials: A computational bridge between neurolinguistic models and experiments
Cellular computational networks - A scalable architecture for learning the dynamics of large networked systems
Cross-validation in Fuzzy ARTMAP for large databases
Multi-source Selective Graph Domain Adaptation Network for cross-subject EEG emotion recognition
Linear convergence of proximal gradient method for linear sparse SVM
Reliable prediction intervals with regression neural networks
SiamDF: Tracking training data-free siamese tracker
The temporal Kohönen map
Non-linear Feature Extraction by Redundancy Reduction in an Unsupervised Stochastic Neural Network
A robust algorithm for explaining unreliable machine learning survival models using the Kolmogorov-Smirnov bounds
Distributed nonconvex optimization subject to globally coupled constraints via collaborative neurodynamic optimization
Forward Models for Physiological Motor Control
Effective and lightweight representation learning for signed bipartite graphs
ESCAN: Efficient GPU sharing for cascade neural network inference
A common framework of signal processing in the induction of cerebellar LTD and cortical STDP
Multistability of switched neural networks with sigmoidal activation functions under state-dependent switching
Testing synergetic algorithms with industrial classification problems
LCM-Captioner: A lightweight text-based image captioning method with collaborative mechanism between vision and text
Dynamic switching of neural codes in networks with gap junctions
A second-order learning algorithm for multilayer networks based on block Hessian matrix
Recursive least mean p-power Extreme Learning Machine
Simulating the shaping of the fastigial deep nuclear saccade command by cerebellar Purkinje cells
Origin of the efficiency of spike timing-based neural computation for processing temporal information
Towards a better negative sampling strategy for dynamic graphs
Analyzing stability of equilibrium points in neural networks: a general approach
Event stream learning using spatio-temporal event surface
Using a model of human visual perception to improve deep learning
Pattern classification by a condensed neural network
PEPNet: A barotropic primitive equations-based network for wind speed prediction
Layer Frozen Multi-Net & Latent Space Feature-Concealed Backdoor Samples Detection
Fast Co-clustering via Anchor-guided Label Spreading
Graph Batch Coarsening framework for scalable graph neural networks
Noise-robust consistency regularization for semi-supervised semantic segmentation
Implicit graph neural networks with flexible propagation operators
CANet: ChronoAdaptive network for enhanced long-term time series forecasting under non-stationarity
Saturation at high gain in discrete time recurrent networks
Principles and networks for self-organization in space-time
Welcome to the special issue
Real-time, adaptive machine learning for non-stationary, near chaotic gasoline engine combustion time series
An end to end Deep Neural Network for iris segmentation in unconstrained scenarios
A subthreshold MOS circuit for the Lotka-Volterra neural network producing the winners-share-all solution
FusionOC: Research on optimal control method for infrared and visible light image fusion
Approximation of functionals on Korobov spaces with Fourier Functional Networks
Multi-level feature fusion and joint refinement for simultaneous object pose estimation and camera localization
BiFormer: A Bipartite-stream Information Fusion framework for large-scale graph representation learning
An unsupervised parameter learning model for RVFL neural network
Enhancing spatial perception and contextual understanding for 3D dense captioning
DiffCNN: A collaborative framework of diffusion model and CNN for semi-supervised medical image segmentation
SP-GNN: Learning structure and position information from graphs
Projective synchronization of nonidentical fractional-order neural networks based on sliding mode controller
Volume-preserving geometric shape optimization of the Dirichlet energy using variational neural networks
Improvement of generalization ability for identifying dynamical systems by using universal learning networks
A lightweight All-MLP time-frequency anomaly detection for IIoT time series
On the value of label and semantic information in domain generalization
One-stage CNN detector-based benthonic organisms detection with limited training dataset
Att-BrainNet: Attention-based BrainNet for lung cancer segmentation network
Dual-domain strip attention for image restoration
Adaptive metric for knowledge distillation by deep Bregman divergence
Mathematical modeling for evolution of heterogeneous modules in the brain
Delayed feedback control of bursting synchronization in a scale-free neuronal network
Extracting boolean and probabilistic rules from trained neural networks
A recurrent neural network: Limitations and training
Kernel learning at the first level of inference
Topologically ordered competitive sampling
Multi-scale correlation structure of gene expression in the brain
Compact CNN module balancing between feature diversity and redundancy
A classifier neural net with complex-valued weights and square-law nonlinearities
Self-organizing neural networks to support the discovery of DNA-binding motifs
How laminar frontal cortex and basal ganglia circuits interact to control planned and reactive saccades
ASR for emotional speech: Clarifying the issues and enhancing performance
Generating rules with predicates, terms and variables from the pruned neural networks
Convergence of self-organizing neural algorithms
Consensus synchronization via quantized iterative learning for coupled fractional-order time-delayed competitive neural networks with input sharing
Improving BCI performance by task-related trial pruning
A computational model of dysfunctional facial encoding in congenital prosopagnosia
Neural coordination can be enhanced by occasional interruption of normal firing patterns: A self-optimizing spiking neural network model
Improved system for object detection and star/galaxy classification via local subspace analysis
Uncertainty maximization in partially observable domains: A cognitive perspective
NeuroBayesSLAM: Neurobiologically inspired Bayesian integration of multisensory information for robot navigation
Neural dynamics and seizure correlations: Insights from neural mass models in a Tetanus Toxin rat model of epilepsy
HCPI-HRL: Human Causal Perception and Inference-driven Hierarchical Reinforcement Learning
A synfire chain in layered coincidence detectors with random synaptic delays
Attributes learning network for generalized zero-shot learning
Interpreting reservoir computing through the equivalent visualization of its loss landscape
Dreaming of mathematical neuroscience for half a century
Challenges in real-life emotion annotation and machine learning based detection
Graph global attention network with memory: A deep learning approach for fake news detection
Introduction to Neural Engineering for Motor Rehabilitation, Dario Farina, Winnie Jensen, Metin Akay (Eds.). Wiley-IEEE Press (2013), ISBN: 978-0-470-91673-5
Robust recursive absolute value inequalities discriminant analysis with sparseness
Deep learning and deep knowledge representation in Spiking Neural Networks for Brain-Computer Interfaces
Topological pattern selection in recurrent networks
SLIDE: A surrogate fairness constraint to ensure fairness consistency
Kernel Bayesian ART and ARTMAP
Simulation of aphasic naming errors in finnish language with neural networks
A new EM-based training algorithm for RBF networks
Global Mittag-Leffler stability and synchronization of memristor-based fractional-order neural networks
When low-light meets flares: Towards Synchronous Flare Removal and Brightness Enhancement
A learning mechanism for invariant pattern recognition in neural networks
Design and evolution of modular neural network architectures
DICCR: Double-gated intervention and confounder causal reasoning for vision-language navigation
Solving the XOR problem and the detection of symmetry using a single complex-valued neuron
Lifelong learning with Shared and Private Latent Representations learned through synaptic intelligence
Joint learning of multiple Granger causal networks via non-convex regularizations: Inference of group-level brain connectivity
Neural control of rhythmic arm movements
On the identifiability of mixtures-of-experts
Pattern retrieval in a three-layer oscillatory network with a context dependent synaptic connectivity
Corrigendum to "Functional connectivity inference from fMRI data using multivariate information measures" [Neural Networks 146 (2022) 85-97]
Image harmonization with Simple Hybrid CNN-Transformer Network
Multi-sensor ATR and identification of friend or foe using MLANS
A strictly predefined-time convergent and anti-noise fractional-order zeroing neural network for solving time-variant quadratic programming in kinematic robot control
Refined UNet v3: Efficient end-to-end patch-wise network for cloud and shadow segmentation with multi-channel spectral features
A continual test-time domain adaptation method for online machinery fault diagnosis under dynamic operating conditions
Foster noisy label learning by exploiting noise-induced distortion in foreground localization
Multivariate sigmoidal neural network approximation
A domain-specific cross-lingual semantic alignment learning model for low-resource languages
A signal theory approach to support vector classification: The sinc kernel
Episodic memory: A hierarchy of spatiotemporal concepts
Spurious reconstruction from brain activity
Collective neurodynamic optimization for economic emission dispatch problem considering valve point effect in microgrid
Bayesian tensor network structure search and its application to tensor completion
Approximating distributions in stochastic learning
Parsimonious kernel extreme learning machine in primal via Cholesky factorization
Learning to generate combinatorial action sequences utilizing the initial sensitivity of deterministic dynamical systems
Dynamical model of salience gated working memory, action selection and reinforcement based on basal ganglia and dopamine feedback
A self-training algorithm based on the two-stage data editing method with mass-based dissimilarity
Deep neural network representation and Generative Adversarial Learning
The Local Structure of Space-variant Images
Connectivity inference from neural recording data: Challenges, mathematical bases and research directions
FedELR: When federated learning meets learning with noisy labels
Feedforward neural networks initialization based on discriminant learning
Microcanonical annealing on neural networks
Coding properties of spiking neurons: reverse and cross-correlations