yusuke1997/dblp-id-title huggingface dataset:
Pain Related Cortical Oscillations: Methodological Advances and Potential Applications
Clustering Predicts Memory Performance in Networks of Spiking and Non-Spiking Neurons
Binary Associative Memories as a Benchmark for Spiking Neuromorphic Hardware
From CAPTCHA to Commonsense: How Brain Can Teach Us About Artificial Intelligence
Data-centric automated approach to predict autism spectrum disorder based on selective features and explainable artificial intelligence
An extended reinforcement learning model of basal ganglia to understand the contributions of serotonin and dopamine in risk-based decision making, reward prediction, and punishment learning
The Effects of Capillary Transit Time Heterogeneity (CTH) on the Cerebral Uptake of Glucose and Glucose Analogs: Application to FDG and Comparison to Oxygen Uptake
Extraction of Network Topology From Multi-Electrode Recordings: Is there a Small-World Effect?
An efficient approach for textual data classification using deep learning
Neuromotor recovery from stroke: computational models at central, functional, and muscle synergy level
Deep Learning-Based Concurrent Brain Registration and Tumor Segmentation
The number and choice of muscles impact the results of muscle synergy analyses
Steering the Volume of Tissue Activated With a Directional Deep Brain Stimulation Lead in the Globus Pallidus Pars Interna: A Modeling Study With Heterogeneous Tissue Properties
Automated karyogram analysis for early detection of genetic and neurodegenerative disorders: a hybrid machine learning approach
Spatial-Temporal Feature Analysis on Single-Trial Event Related Potential for Rapid Face Identification
Distinguishing Parkinson's disease from atypical parkinsonian syndromes using PET data and a computer system based on support vector machines and Bayesian networks
Fault-tolerance in metric dimension of boron nanotubes lattices
Circuit-level modeling of prediction error computation of multi-dimensional features in voluntary actions
Experimentally constrained CA1 fast-firing parvalbumin-positive interneuron network models exhibit sharp transitions into coherent high frequency rhythms
Data-driven inference of network connectivity for modeling the dynamics of neural codes in the insect antennal lobe
A computational model of basal ganglia and its role in memory retrieval in rewarded visual memory tasks
Colorectal image analysis for polyp diagnosis
Periodic Visual Stimulation Induces Resting-State Brain Network Reconfiguration
Burst and Memory-aware Transformer: capturing temporal heterogeneity
Finding and recognizing objects in natural scenes: complementary computations in the dorsal and ventral visual systems
Visual Cortex Inspired CNN Model for Feature Construction in Text Analysis
Synergetic motor control paradigm for optimizing energy efficiency of multijoint reaching via tacit learning
RM-SORN: A Reward-Modulated Self-Organizing Recurrent Neural Network
Computational models of neuron-astrocyte interaction in epilepsy
Quantifying effects of stochasticity in reference frame transformations on posterior distributions
A pooling-LiNGAM algorithm for effective connectivity analysis of fMRI data
Editorial: Bioinformatics for modern neuroscience
Cellular and Network Mechanisms for Temporal Signal Propagation in a Cortical Network Model
Developmental Changes in Pyramidal Cell Morphology in Multiple Visual Cortical Areas Using Cluster Analysis
Measuring and Modeling the Effect of Audio on Human Focus in Everyday Environments Using Brain-Computer Interface Technology
Fano Factor: A Potentially Useful Information
Long memory lifetimes require complex synapses and limited sparseness
A Diffusion Approximation and Numerical Methods for Adaptive Neuron Models with Stochastic Inputs
Aberrant Whole-Brain Transitions and Dynamics of Spontaneous Network Microstates in Mild Traumatic Brain Injury
Visual Representation Determines Search Difficulty: Explaining Visual Search Asymmetries
Spike-Timing Dependent Plasticity and Feed-Forward Input Oscillations Produce Precise and Invariant Spike Phase-Locking
Obtaining Arbitrary Prescribed Mean Field Dynamics for Recurrently Coupled Networks of Type-I Spiking Neurons with Analytically Determined Weights
On the Influence of Structural Connectivity on the Correlation Patterns and Network Synchronization
Segmenting Brain Tumor Using Cascaded V-Nets in Multimodal MR Images
Modeling the Dynamics of Human Brain Activity with Recurrent Neural Networks
Prediction and Classification of Alzheimer's Disease Based on Combined Features From Apolipoprotein-E Genotype, Cerebrospinal Fluid, MR, and FDG-PET Imaging Biomarkers
A model-based approach to predict muscle synergies using optimization: application to feedback control
Neural Computations in a Dynamical System with Multiple Time Scales
Leg mechanics contribute to establishing swing phase trajectories during memory-guided stepping movements in walking cats: a computational analysis
Effects of Metabolic Energy on Synaptic Transmission and Dendritic Integration in Pyramidal Neurons
The proactive brain and the fate of dead hypotheses
Synchrony analysis: application in early diagnosis, staging and prognosis of multiple sclerosis
Editorial: Temporal Structure of Neural Processes Coupling Sensory, Motor and Cognitive Functions of the Brain
Fluctuating Inhibitory Inputs Promote Reliable Spiking at Theta Frequencies in Hippocampal Interneurons
A Spike Train Distance Robust to Firing Rate Changes Based on the Earth Mover's Distance
Deep learning on lateral flow immunoassay for the analysis of detection data
The Role of Degree Distribution in Shaping the Dynamics in Networks of Sparsely Connected Spiking Neurons
Development of Atypical Reading at Ages 5 to 9 Years and Processing of Speech Envelope Modulations in the Brain
A computational role for bistability and traveling waves in motor cortex
Status of deep learning for EEG-based brain-computer interface applications
Sensorimotor Synchronization With Auditory and Visual Modalities: Behavioral and Neural Differences
Editorial: Hippocampal function and reinforcement learning
Aberrant Correlation Between the Default Mode and Salience Networks in Mild Traumatic Brain Injury
Characterization of Spatial Frequency Channels Underlying Disparity Sensitivity by Factor Analysis of Population Data
Patterns of interval correlations in neural oscillators with adaptation
Multivariate Analysis of Preoperative Magnetic Resonance Imaging Reveals Transcriptomic Classification of de novo Glioblastoma Patients
Data Augmentation for EEG-Based Emotion Recognition Using Generative Adversarial Networks
Classification-Based Prediction of Effective Connectivity Between Timeseries With a Realistic Cortical Network Model
Epileptic Seizure Prediction Based on Permutation Entropy
Critical and Ictal Phases in Simulated EEG Signals on a Small-World Network
Multi-dimensional classification of GABAergic interneurons with Bayesian network-modeled label uncertainty
Unsupervised Feature Learning With Winner-Takes-All Based STDP
Editorial: Deep learning for neurological disorders in children
Perineuronal nets restrict transport near the neuron surface: A coarse-grained molecular dynamics study
Variance in population firing rate as a measure of slow time-scale correlation
First evidence of a hyperdirect prefrontal pathway in the primate: precise organization for new insights on subthalamic nucleus functions
Improper activation of D1 and D2 receptors leads to excess noise in prefrontal cortex
Autonomous retrieval for continuous learning in associative memory networks
Constraints of Metabolic Energy on the Number of Synaptic Connections of Neurons and the Density of Neuronal Networks
Research on the multi-granularity method of role engineering
A Comparison of Physiological Signal Analysis Techniques and Classifiers for Automatic Emotional Evaluation of Audiovisual Contents
Dynamic models for musical rhythm perception and coordination
Visual Explanation for Identification of the Brain Bases for Developmental Dyslexia on fMRI Data
Quantitative evaluation of muscle synergy models: a single-trial task decoding approach
Modeling of Cerebral Oxygen Transport Based on In vivo Microscopic Imaging of Microvascular Network Structure, Blood Flow, and Oxygenation
Stability Evaluation of Brain Changes in Parkinson's Disease Based on Machine Learning
Open Evaluation: A Vision for Entirely Transparent Post-Publication Peer Review and Rating for Science
Computational Modeling of Genetic Contributions to Excitability and Neural Coding in Layer V Pyramidal Cells: Applications to Schizophrenia Pathology
The hypothetical cost-conflict monitor: is it a possible trigger for conflict-driven control mechanisms in the human brain?
Evaluation of Synergy Extrapolation for Predicting Unmeasured Muscle Excitations from Measured Muscle Synergies
Structure learning and the Occam's razor principle: a new view of human function acquisition
FOSE: a framework for open science evaluation
The Influence of Mexican Hat Recurrent Connectivity on Noise Correlations and Stimulus Encoding
Data-Driven Model of Postsynaptic Currents Mediated by NMDA or AMPA Receptors in Striatal Neurons
A Spiking Neural Model of HT3D for Corner Detection
Fair and Open Evaluation May Call for Temporarily Hidden Authorship, Caution When Counting the Votes, and Transparency of the Full Pre-publication Procedure
Biophysical parameters control signal transfer in spiking network
Electroencephalogram-based adaptive closed-loop brain-computer interface in neurorehabilitation: a review
Residual and bidirectional LSTM for epileptic seizure detection
Cortical Dynamics in Presence of Assemblies of Densely Connected Weight-Hub Neurons
The influence of population size, noise strength and behavioral task on best-encoded stimulus for neurons with unimodal or monotonic tuning curves
Correlations in background activity control persistent state stability and allow execution of working memory tasks
Prestimulus α/β power in temporal-order judgments: individuals differ in direction of modulation but show consistency over auditory and visual tasks
A Computational Model of Interactions Between Neuronal and Astrocytic Networks: The Role of Astrocytes in the Stability of the Neuronal Firing Rate
Creating new functional circuits for action via brain-machine interfaces
Editorial: Emergent Neural Computation from the Interaction of Different Forms of Plasticity
Neural circuits for peristaltic wave propagation in crawling Drosophila larvae: analysis and modeling
Sensor-Motor Maps for Describing Linear Reflex Composition in Hopping
Modeling Current Sources for Neural Stimulation in COMSOL
The Face Module Emerged in a Deep Convolutional Neural Network Selectively Deprived of Face Experience
Dynamic PET Imaging Using Dual Texture Features
Serotonergic Axons as Fractional Brownian Motion Paths: Insights Into the Self-Organization of Regional Densities
Generalizing location-centric variations to enhance contactless human activity recognition
Stress Assessment by Prefrontal Relative Gamma
Predictive Place-Cell Sequences for Goal-Finding Emerge from Goal Memory and the Cognitive Map: A Computational Model
Spatiotemporal characteristics of muscle patterns for ball catching
Assessment of Carotid Plaque Stability Using Contrast-Enhanced Ultrasound and Its Correlation With the Expression of CD147 and MMP-9 in the Plaque
Using "Smart Stimulators" to Treat Parkinson's Disease: Re-Engineering Neurostimulation Devices
Multi-stable perception balances stability and sensitivity
A Temporal Signal-Processing Circuit Based on Spiking Neuron and Synaptic Learning
The next move in neuromodulation therapy: a question of timing
On the Sparse Structure of Natural Sounds and Natural Images: Similarities, Differences, and Implications for Neural Coding
Editorial: Cognitive NeuroIntelligence
Neuron synchronization analyzed through spatial-temporal attention
Temporal variability of spectro-temporal receptive fields in the anesthetized auditory cortex
Constraint-based modeling of bioenergetic differences between synaptic and non-synaptic components of dopaminergic neurons in Parkinson's disease
Grid codes vs. multi-scale, multi-field place codes for space
Time delays in computational models of neuronal and synaptic dynamics
Accurate Prediction of Children's ADHD Severity Using Family Burden Information: A Neural Lasso Approach
Kohonen neural network and symbiotic-organism search algorithm for intrusion detection of network viruses
Triphasic spike-timing-dependent plasticity organizes networks to produce robust sequences of neural activity
Finding minimal action sequences with a simple evaluation of actions
Electroencephalogram-Based Single-Trial Detection of Language Expectation Violations in Listening to Speech
Population coding in sparsely connected networks of noisy neurons
Sustained Activity in Hierarchical Modular Neural Networks: Self-Organized Criticality and Oscillations
Learning dynamic cognitive map with autonomous navigation
Channel identification machines for multidimensional receptive fields
Volterra representation enables modeling of complex synaptic nonlinear dynamics in large-scale simulations
Single-unit activities during epileptic discharges in the human hippocampal formation
Set-size effects for sampled shapes: experiments and model
Simultaneous Bayesian Estimation of Excitatory and Inhibitory Synaptic Conductances by Exploiting Multiple Recorded Trials
A modular theory of multisensory integration for motor control
Self-decisive algorithm for unconstrained optimization problems as in biomedical image analysis
Quantifying the Landscape of Decision Making From Spiking Neural Networks
Mechanisms of Self-Sustained Oscillatory States in Hierarchical Modular Networks with Mixtures of Electrophysiological Cell Types
Reconfigurable Filtering of Neuro-Spike Communications Using Synthetically Engineered Logic Circuits
Dimensionality of joint torques and muscle patterns for reaching
Mechanisms of Winner-Take-All and Group Selection in Neuronal Spiking Networks
Inhibition of Long-Term Variability in Decoding Forelimb Trajectory Using Evolutionary Neural Networks With Error-Correction Learning
Neural circuit dynamics underlying accumulation of time-varying evidence during perceptual decision making
Improving the Nulling Beamformer Using Subspace Suppression
The basal ganglia select the expected sensory input used for predictive coding
Exploring subthreshold processing for next-generation TinyAI
Online Adaptation and Over-Trial Learning in Macaque Visuomotor Control
When Long-Range Zero-Lag Synchronization is Feasible in Cortical Networks
Spinal circuits can accommodate interaction torques during multijoint limb movements
Genetic algorithm supported by graphical processing unit improves the exploration of effective connectivity in functional brain imaging
Probabilistic Models and Generative Neural Networks: Towards an Unified Framework for Modeling Normal and Impaired Neurocognitive Functions
The evaluation of research papers in the XXI century. The Open Peer Discussion system of the World Economics Association
Editorial: Understanding and Bridging the Gap Between Neuromorphic Computing and Machine Learning
Effective Plug-Ins for Reducing Inference-Latency of Spiking Convolutional Neural Networks During Inference Phase
From Topological Analyses to Functional Modeling: The Case of Hippocampus
Spike-Triggered Regression for Synaptic Connectivity Reconstruction in Neuronal Networks
Corrigendum: Riemannian geometry-based metrics to measure and reinforce user performance changes during brain-computer interface user training
Estimation of ionic currents and compensation mechanisms from recursive piecewise assimilation of electrophysiological data
Linear summation of outputs in a balanced network model of motor cortex
Coding Capacity of Purkinje Cells With Different Schemes of Morphological Reduction
Directed Transfer Function is not influenced by volume conduction - inexpedient pre-processing should be avoided
Analysis of Nociceptive Information Encoded in the Temporal Discharge Patterns of Cutaneous C-Fibers
SaE-GBLS: an effective self-adaptive evolutionary optimized graph-broad model for EEG-based automatic epileptic seizure detection
Optimization of Real-Time EEG Artifact Removal and Emotion Estimation for Human-Robot Interaction Applications
Heart disease detection based on internet of things data using linear quadratic discriminant analysis and a deep graph convolutional neural network
Cross-frequency transfer in a stochastically driven mesoscopic neuronal model
Learning cortical hierarchies with temporal Hebbian updates
'One region to control them all'- the surprising effectiveness of network control theory in predicting post-stroke recovery from aphasia
Aggregating post-publication peer reviews and ratings
Passing the Message: Representation Transfer in Modular Balanced Networks
Classifying Cognitive Profiles Using Machine Learning with Privileged Information in Mild Cognitive Impairment
Energy-based analog neural network framework
GAME-Net: an ensemble deep learning framework integrating Generative Autoencoders and attention mechanisms for automated brain tumor segmentation in MRI
Recurrent network for multisensory integration-identification of common sources of audiovisual stimuli
Quantitative analysis of the optogenetic excitability of CA1 neurons
A framework for optimal control of oscillations and synchrony applied to non-linear models of neural population dynamics
Timing Deficits in ADHD: Insights From the Neuroscience of Musical Rhythm
Top-Down Disconnectivity in Schizophrenia During P300 Tasks
Retraction: Deep learning for autism diagnosis and facial analysis in children
A Sensitivity Analysis of an Inverted Pendulum Balance Control Model
Cross-frequency coupling in real and virtual brain networks
Synaptic bouton properties are tuned to best fit the prevailing firing pattern
A Brain Signature to Differentiate Acute and Chronic Pain in Rats
Bifurcation Analysis on Phase-Amplitude Cross-Frequency Coupling in Neural Networks with Dynamic Synapses
Geometric algebra based recurrent neural network for multi-dimensional time-series prediction
Treatment Response Prediction for Major Depressive Disorder Patients via Multivariate Pattern Analysis of Thalamic Features
A Topological Model of the Hippocampal Cell Assembly Network
Information-theoretic analysis of Hierarchical Temporal Memory-Spatial Pooler algorithm with a new upper bound for the standard information bottleneck method
Noise-induced synchrony of two-neuron motifs with asymmetric noise and uneven coupling
Saccade Velocity Driven Oscillatory Network Model of Grid Cells
Dynamics Analysis of Firing Patterns in Pre-Bötzinger Complex Neurons Model
Back-Propagation Learning in Deep Spike-By-Spike Networks
Accurate few-shot object counting with Hough matching feature enhancement
Hybrid deep spatial and statistical feature fusion for accurate MRI brain tumor classification
Coexisting Behaviors of Asymmetric Attractors in Hyperbolic-Type Memristor based Hopfield Neural Network
Gait Modulation in C. elegans: An Integrated Neuromechanical Model
Editorial: The role of the interactions via movements in the spatial and temporal representation of external objects
Information-Selectivity of Beta-Amyloid Pathology in an Associative Memory Model
Spatiotemporal Patterns of Adaptation-Induced Slow Oscillations in a Whole-Brain Model of Slow-Wave Sleep
The Task Pre-Configuration Is Associated With Cognitive Performance Evidence From the Brain Synchrony
Estimation of Synaptic Conductances in Presence of Nonlinear Effects Caused by Subthreshold Ionic Currents
Topological View of Flows Inside the BOLD Spontaneous Activity of the Human Brain
Distributed organization of a brain microcircuit analyzed by three-dimensional modeling: the olfactory bulb
A general role for medial prefrontal cortex in event prediction
A System Computational Model of Implicit Emotional Learning
Peripheral Processing Facilitates Optic Flow-Based Depth Perception
Behavioral Time Scale Plasticity of Place Fields: Mathematical Analysis
Surrogate Spike Train Generation Through Dithering in Operational Time
Theta-specific susceptibility in a model of adaptive synaptic plasticity
Effective force control by muscle synergies
History-Dependent Dynamics in a Generic Model of Ion Channels - An Analytic Study
The Embodied Brain of SOVEREIGN2: From Space-Variant Conscious Percepts During Visual Search and Navigation to Learning Invariant Object Categories and Cognitive-Emotional Plans for Acquiring Valued Goals
The Construction of Semantic Memory: Grammar-Based Representations Learned from Relational Episodic Information
The Müller-Lyer illusion as seen by an artificial neural network
EEGs Vary Less Between Lab and Home Locations Than They Do Between People
Exploring the cognitive and motor functions of the basal ganglia: an integrative review of computational cognitive neuroscience models
Outer-synchronization criterions for asymmetric recurrent time-varying neural networks described by differential-algebraic system via data-sampling principles
Criticality, Connectivity, and Neural Disorder: A Multifaceted Approach to Neural Computation
A Closed-Loop Toolchain for Neural Network Simulations of Learning Autonomous Agents
A Theoretical Framework to Derive Simple, Firing-Rate-Dependent Mathematical Models of Synaptic Plasticity
Conditional spatial biased intuitionistic clustering technique for brain MRI image segmentation
Machine learning identifies genes linked to neurological disorders induced by equine encephalitis viruses, traumatic brain injuries, and organophosphorus nerve agents
Emergence of task-dependent representations in working memory circuits
Reward Based Motor Adaptation Mediated by Basal Ganglia
Regional Neurodegeneration in vitro: The Protective Role of Neural Activity
Computational Modeling of Single Neuron Extracellular Electric Potentials and Network Local Field Potentials using LFPsim
Unveiling Stimulation Secrets of Electrical Excitation of Neural Tissue Using a Circuit Probability Theory
Control of reaching movements by muscle synergy combinations
Optimal Control Based Stiffness Identification of an Ankle-Foot Orthosis Using a Predictive Walking Model
SORN: a self-organizing recurrent neural network
Population coding in mouse visual cortex: response reliability and dissociability of stimulus tuning and noise correlation
The Self-Face Paradigm Improves the Performance of the P300-Speller System
Prediction of the Seizure Suppression Effect by Electrical Stimulation via a Computational Modeling Approach
Physics Clues on the Mind Substrate and Attributes
A survey of neurophysiological differentiation across mouse visual brain areas and timescales
A Computational Framework for Controlling the Self-Restorative Brain Based on the Free Energy and Degeneracy Principles
Purkinje cell models: past, present and future
Altered Local Spatiotemporal Consistency of Resting-State BOLD Signals in Patients with Generalized Tonic-Clonic Seizures
Neuronal Morphology and Synapse Count in the Nematode Worm
Open Peer Review by a Selected-Papers Network
Demystifying Brain Tumor Segmentation Networks: Interpretability and Uncertainty Analysis
Inhibiting Basal Ganglia Regions Reduces Syllable Sequencing Errors in Parkinson's Disease: A Computer Simulation Study
Linking Molecular Pathways and Large-Scale Computational Modeling to Assess Candidate Disease Mechanisms and Pharmacodynamics in Alzheimer's Disease
Conscious Multisensory Integration: Introducing a Universal Contextual Field in Biological and Deep Artificial Neural Networks
Interpretation of Frequency Channel-Based CNN on Depression Identification
Response of Electrical Activity in an Improved Neuron Model under Electromagnetic Radiation and Noise
Structural Features of the Human Connectome That Facilitate the Switching of Brain Dynamics via Noradrenergic Neuromodulation
Fractal memory structure in the spatiotemporal learning rule
Robust and efficient representations of dynamic stimuli in hierarchical neural networks via temporal smoothing
A non-linear dynamical approach to belief revision in cognitive behavioral therapy
Retrospective Evaluation of Sequential Events and the Influence of Preference-Dependent Working Memory: A Computational Examination