yusuke1997/dblp-id-title huggingface dataset:
PointAS: an attention based sampling neural network for visual perception
Ketamine, Propofol, and the EEG: A Neural Field Analysis of HCN1-Mediated Interactions
Spike Train Auto-Structure Impacts Post-Synaptic Firing and Timing-Based Plasticity
Neuro-environmental interactions: a time sensitive matter
Dynamic Responses in Brain Networks to Social Feedback: A Dual EEG Acquisition Study in Adolescent Couples
Robust development of synfire chains from multiple plasticity mechanisms
Quantifying network properties in multi-electrode recordings: spatiotemporal characterization and inter-trial variation of evoked gamma oscillations in mouse somatosensory cortex in vitro
An enhanced pattern detection and segmentation of brain tumors in MRI images using deep learning technique
How Should Prey Animals Respond to Uncertain Threats?
On the Validation of a Multiple-Network Poroelastic Model Using Arterial Spin Labeling MRI Data
Synaptic dynamics and neuronal network connectivity are reflected in the distribution of times in Up states
STDP in Recurrent Neuronal Networks
Decorrelation of Odor Representations via Spike Timing-Dependent Plasticity
Robust Transient Dynamics and Brain Functions
Spatio-temporal analysis reveals active control of both task-relevant and task-irrelevant variables
Exponential Time Differencing Algorithm for Pulse-Coupled Hodgkin-Huxley Neural Networks
Understanding of facial features in face perception: insights from deep convolutional neural networks
The significance of cerebellar contributions in early-life through aging
Transform-invariant visual representations in self-organizing spiking neural networks
Spatio-temporal pattern recognizers using spiking neurons and spike-timing-dependent plasticity
Applying artificial vision models to human scene understanding
Initial Unilateral Exposure to Deep Brain Stimulation in Treatment-Resistant Depression Patients Alters Spectral Power in the Subcallosal Cingulate
Synchronization-based computation through networks of coupled oscillators
Exploring the neural basis of creativity: EEG analysis of power spectrum and functional connectivity during creative tasks in school-aged children
Fast convergence of learning requires plasticity between inferior olive and deep cerebellar nuclei in a manipulation task: a closed-loop robotic simulation
The meaning of spikes from the neuron's point of view: predictive homeostasis generates the appearance of randomness
Affective Interaction with a Virtual Character Through an fNIRS Brain-Computer Interface
Characterizing Functional Connectivity Differences in Aging Adults using Machine Learning on Resting State fMRI Data
A Phase-Locking Analysis of Neuronal Firing Rhythms with Transcranial Magneto-Acoustical Stimulation Based on the Hodgkin-Huxley Neuron Model
Implementing the cellular mechanisms of synaptic transmission in a neural mass model of the thalamo-cortical circuitry
Cerebellum as a kernel machine: A novel perspective on expansion recoding in granule cell layer
neuroAIx-Framework: design of future neuroscience simulation systems exhibiting execution of the cortical microcircuit model 20× faster than biological real-time
Motor planning under temporal uncertainty is suboptimal when the gain function is asymmetric
Artificial intelligence in stroke risk assessment and management via retinal imaging
Quantitative prediction of intracellular dynamics and synaptic currents in a small neural circuit
Topological Schemas of Cognitive Maps and Spatial Learning
Beta Band Corticomuscular Drive Reflects Muscle Coordination Strategies
Editorial: Hierarchical Object Representations in the Visual Cortex and Computer Vision
Scene Construction, Visual Foraging, and Active Inference
Implementation-Independent Representation for Deep Convolutional Neural Networks and Humans in Processing Faces
Corrigendum: A Curiosity-Based Learning Method for Spiking Neural Networks
Kinematic primitives for walking and trotting gaits of a quadruped robot with compliant legs
The Orientation Selectivity of Spike-LFP Synchronization in Macaque V1 and V4
Brain Inspired Sequences Production by Spiking Neural Networks With Reward-Modulated STDP
Bursting gamma oscillations in neural mass models
Population spikes in cortical networks during different functional states
Astroglial Networks and Implications for Therapeutic Neuromodulation of Epilepsy
Transitions between discrete and rhythmic primitives in a unimanual task
HC-Net: A hybrid convolutional network for non-human primate brain extraction
Mean-field models for heterogeneous networks of two-dimensional integrate and fire neurons
An exploratory computational analysis in mice brain networks of widespread epileptic seizure onset locations along with potential strategies for effective intervention and propagation control
Unsupervised learning of digit recognition using spike-timing-dependent plasticity
Learned parametrized dynamic movement primitives with shared synergies for controlling robotic and musculoskeletal systems
Feedback stabilization of probabilistic finite state machines based on deep Q-network
Computational Modelling of the Neural Representation of Object Shape in the Primate Ventral Visual System
Evaluation of Phase-Amplitude Coupling in Resting State Magnetoencephalographic Signals: Effect of Surrogates and Evaluation Approach
Computational search for hypotheses concerning the endocannabinoid contribution to the extinction of fear conditioning
A Single Theoretical Framework for Circular Features Processing in Humans: Orientation and Direction of Motion Compared
Modeling spontaneous activity across an excitable epithelium: Support for a coordination scenario of early neural evolution
Toward a causal model of chronic back pain: Challenges and opportunities
Sensory Prediction or Motor Control? Application of Marr-Albus Type Models of Cerebellar Function to Classical Conditioning
Unified theory of alpha, mu, and tau rhythms via eigenmodes of brain activity
An AI methodology to reduce training intensity, error rates, and size of neural networks
Regulation of sharp wave-ripples by cholecystokinin-expressing interneurons and parvalbumin-expressing basket cells in the hippocampal CA3 region
Methodological Choices in Muscle Synergy Analysis Impact Differentiation of Physiological Characteristics Following Stroke
Dimensional reduction for the inverse problem of neural field theory
Smoking behavior detection algorithm based on YOLOv8-MNC
Unsupervised Learning of Persistent and Sequential Activity
Dynamics of the Auditory Continuity Illusion
Predicting Illusory Contours Without Extracting Special Image Features
Deep Learning Predicts Correlation between a Functional Signature of Higher Visual Areas and Sparse Firing of Neurons
Vestibular Compensation in Unilateral Patients Often Causes Both Gain and Time Constant Asymmetries in the VOR
How to be an integrated information theorist without losing your body
Corrigendum: An enhanced pattern detection and segmentation of brain tumors in MRI images using deep learning technique
Brain state-dependent neuronal computation
Brain tumor segmentation using neuro-technology enabled intelligence-cascaded U-Net model
Simple and complex cells revisited: toward a selectivity-invariance model of object recognition
Prediction of Alzheimer's disease stages based on ResNet-Self-attention architecture with Bayesian optimization and best features selection
A mutual information measure of phase-amplitude coupling using gamma generalized linear models
Investigating irregularly patterned deep brain stimulation signal design using biophysical models
Applications of graph theory to the analysis of fNIRS data in hyperscanning paradigms
InverseMuscleNET: Alternative Machine Learning Solution to Static Optimization and Inverse Muscle Modeling
Model Reduction of Strong-Weak Neurons
Muscle synergy space: learning model to create an optimal muscle synergy
Emergent bursting and synchrony in computer simulations of neuronal cultures
Empirical mode decomposition of local field potential data from optogenetic experiments
The ISI distribution of the stochastic Hodgkin-Huxley neuron
An efficient computer vision-based approach for acute lymphoblastic leukemia prediction
Neck Pain: Do We Know Enough About the Sensorimotor Control System?
Reinforcement learning as a robotics-inspired framework for insect navigation: from spatial representations to neural implementation
State-dependencies of learning across brain scales
Effects of Background Music on Objective and Subjective Performance Measures in an Auditory BCI
Local minimization of prediction errors drives learning of invariant object representations in a generative network model of visual perception
Object Recognition at Higher Regions of the Ventral Visual Stream via Dynamic Inference
Editorial: Modeling of Visual Cognition, Body Sense, Motor Control and Their Integrations
Top-Down Influences on Local Networks: Basic Theory with Experimental Implications
Examining electroencephalogram signatures of people with multiple sclerosis using a nonlinear dynamics approach: a systematic review and bibliographic analysis
Decoding Neuropathic Pain: Can We Predict Fluctuations of Propagation Speed in Stimulated Peripheral Nerve?
Structural Plasticity Denoises Responses and Improves Learning Speed
U-RISC: An Annotated Ultra-High-Resolution Electron Microscopy Dataset Challenging the Existing Deep Learning Algorithms
Interareal coupling reduces encoding variability in multi-area models of spatial working memory
Statistical Analysis of Multi-Cell Recordings: Linking Population Coding Models to Experimental Data
Investigation of Visual Stimulus With Various Colors and the Layout for the Oddball Paradigm in Evoked Related Potential-Based Brain-Computer Interface
Theoretical Principles of Multiscale Spatiotemporal Control of Neuronal Networks: A Complex Systems Perspective
Spike timing-dependent plasticity under imbalanced excitation and inhibition reduces the complexity of neural activity
Does the Entorhinal Cortex use the Fourier Transform?
Computational Psychiatry and Computational Neurology: Seeking for Mechanistic Modeling in Cognitive Impairment and Dementia
A machine learning approach to evaluate the impact of virtual balance/cognitive training on fall risk in older women
The Musical Structure of Time in the Brain: Repetition, Rhythm, and Harmony in fMRI During Rest and Passive Movie Viewing
Membrane current series monitoring: essential reduction of data points to finite number of stable parameters
Comparing Theories for the Maintenance of Late LTP and Long-Term Memory: Computational Analysis of the Roles of Kinase Feedback Pathways and Synaptic Reactivation
Statistical network analysis for functional MRI: summary networks and group comparisons
How pattern formation in ring networks of excitatory and inhibitory spiking neurons depends on the input current regime
Erratum: Contextual Integration in Cortical and Convolutional Neural Networks
Recurrent network of perceptrons with three state synapses achieves competitive classification on real inputs
The Data Efficiency of Deep Learning Is Degraded by Unnecessary Input Dimensions
Associative memory model with long-tail-distributed Hebbian synaptic connections
Random Forest Segregation of Drug Responses May Define Regions of Biological Significance
An alternating renewal process describes the buildup of perceptual segregation
State-dependent filtering as a mechanism toward visual robustness
Internal Representation of Task Rules by Recurrent Dynamics: The Importance of the Diversity of Neural Responses
Hippocampal-Cortical Memory Trace Transfer and Reactivation Through Cell-Specific Stimulus and Spontaneous Background Noise
Multiscale entropy analysis of biological signals: a fundamental bi-scaling law
Self-consistent determination of the spike-train power spectrum in a neural network with sparse connectivity
Automated detection of myopic maculopathy using five-category models based on vision outlooker for visual recognition
Placebo Analgesia Changes Alpha Oscillations Induced by Tonic Muscle Pain: EEG Frequency Analysis Including Data during Pain Evaluation
Inferring Synaptic Connectivity from Spatio-Temporal Spike Patterns
Oscillatory Bursting as a Mechanism for Temporal Coupling and Information Coding
A computational classification method of breast cancer images using the VGGNet model
Commentary: Using goal-driven deep learning models to understand sensory cortex
Single-Trial MEG Data Can Be Denoised Through Cross-Subject Predictive Modeling
A Radiomics Nomogram for Non-Invasive Prediction of Progression-Free Survival in Esophageal Squamous Cell Carcinoma
Quantitative properties of the creation and activation of a cell-intrinsic duration-encoding engram
An Approach for Stabilizing Abnormal Neural Activity in ADHD Using Chaotic Resonance
Detecting functional connectivity change points for single-subject fMRI data
A Comprehensive Account of Sound Sequence Imitation in the Songbird
Statistical physics of pairwise probability models
Deep attention super-resolution of brain magnetic resonance images acquired under clinical protocols
Dynamical Conventional Neural Network Channel Pruning by Genetic Wavelet Channel Search for Image Classification
A Connectome-Based, Corticothalamic Model of State- and Stimulation-Dependent Modulation of Rhythmic Neural Activity and Connectivity
Transient and steady-state selection in the striatal microcircuit
Tuning curves vs. population responses, and perceptual consequences of receptive-field remapping
Higher Order Spike Synchrony in Prefrontal Cortex during Visual Memory
Does our brain use the same policy for interacting with people and manipulating different objects?
The neural origin of muscle synergies
Recurrence Resonance" in Three-Neuron Motifs
A theoretical model reveals specialized synaptic depressions and temporal frequency tuning in retinal parallel channels
Multi-sequence generative adversarial network: better generation for enhanced magnetic resonance imaging images
Model Reduction Captures Stochastic Gamma Oscillations on Low-Dimensional Manifolds
Signal Transmission of Biological Reaction-Diffusion System by Using Synchronization
Editorial: Machine and deep-learning for computational neuroscience
Time-domain brain: temporal mechanisms for brain functions using time-delay nets, holographic processes, radio communications, and emergent oscillatory sequences
Leveraging Prior Concept Learning Improves Generalization From Few Examples in Computational Models of Human Object Recognition
Retraction: Sensing risk, fearing uncertainty: systems science approach to change
The Need for the Emergence of Mathematical Neuroscience: Beyond Computation and Simulation
Spike-timing computation properties of a feed-forward neural network model
Estimating the Information Extracted by a Single Spiking Neuron from a Continuous Input Time Series
Liquid computing on and off the edge of chaos with a striatal microcircuit
Modeling the calcium spike as a threshold triggered fixed waveform for synchronous inputs in the fluctuation regime
Examining Sodium and Potassium Channel Conductances Involved in Hyperexcitability of Chemotherapy-Induced Peripheral Neuropathy: A Mathematical and Cell Culture-Based Study
Assessing the Impact of I h Conductance on Cross-Frequency Coupling in Model Pyramidal Neurons
Low-level contrast statistics are diagnostic of invariance of natural textures
On the Phase Relationship between Excitatory and Inhibitory Neurons in Oscillation
Emergent Spatial Patterns of Excitatory and Inhibitory Synaptic Strengths Drive Somatotopic Representational Discontinuities and their Plasticity in a Computational Model of Primary Sensory Cortical Area 3b
Predicting Antidepressant Citalopram Treatment Response via Changes in Brain Functional Connectivity After Acute Intravenous Challenge
Anisotropic connectivity implements motion-based prediction in a spiking neural network
A Computational Model of Deep-Brain Stimulation for Acquired Dystonia in Children
MACOP modular architecture with control primitives
Emotions as Abstract Evaluation Criteria in Biological and Artificial Intelligences
Machine learning hypothesis-generation for patient stratification and target discovery in rare disease: our experience with Open Science in ALS
Consolidated learning can be susceptible to gradually-developing interference in prolonged motor learning
Rate Dynamics of Leaky Integrate-and-Fire Neurons with Strong Synapses
Feasibility Theory Reconciles and Informs Alternative Approaches to Neuromuscular Control
Elemental Spiking Neuron Model for Reproducing Diverse Firing Patterns and Predicting Precise Firing Times
Deep Learning With Asymmetric Connections and Hebbian Updates
Design and evaluation of a global workspace agent embodied in a realistic multimodal environment
The Non-Random Brain: Efficiency, Economy, and Complex Dynamics
ROOTS: An Algorithm to Generate Biologically Realistic Cortical Axons and an Application to Electroceutical Modeling
ASD-SAENet: A Sparse Autoencoder, and Deep-Neural Network Model for Detecting Autism Spectrum Disorder (ASD) Using fMRI Data
The Laplacian spectrum of neural networks
Error-Based Analysis of Optimal Tuning Functions Explains Phenomena Observed in Sensory Neurons
From action representation to action execution: exploring the links between cognitive and biomechanical levels of motor control
Classification of epileptic seizures in EEG data based on iterative gated graph convolution network
Movie Events Detecting Reveals Inter-Subject Synchrony Difference of Functional Brain Activity in Autism Spectrum Disorder
A possible role of astrocytes in contextual memory retrieval: An analysis obtained using a quantitative framework
Clustering and disease subtyping in Neuroscience, toward better methodological adaptations
Synaptic encoding of temporal contiguity
TMS-induced neural noise in sensory cortex interferes with short-term memory storage in prefrontal cortex
Temporal Reference, Attentional Modulation, and Crossmodal Assimilation
Riemannian geometry-based metrics to measure and reinforce user performance changes during brain-computer interface user training
Electromyography Data Processing Impacts Muscle Synergies during Gait for Unimpaired Children and Children with Cerebral Palsy
Big data analytics frameworks for the influence of gut microbiota on the development of tic disorder
Short-Term Plasticity Regulates Both Divisive Normalization and Adaptive Responses in Drosophila Olfactory System
Neurophysiological bases of exponential sensory decay and top-down memory retrieval: a model
A Handbook for Modeling Hippocampal Circuits
BrainOS: A Novel Artificial Brain-Alike Automatic Machine Learning Framework
Dynamics of self-sustained asynchronous-irregular activity in random networks of spiking neurons with strong synapses
Unsupervised Domain Adaptation With Optimal Transport in Multi-Site Segmentation of Multiple Sclerosis Lesions From MRI Data
Computational study of NMDA conductance and cortical oscillations in schizophrenia
Muscle Synergies Control during Hand-Reaching Tasks in Multiple Directions Post-stroke
The Benefit of Combining Neuronal Feedback and Feed-Forward Control for Robustness in Step Down Perturbations of Simulated Human Walking Depends on the Muscle Function
Event-Based, Timescale Invariant Unsupervised Online Deep Learning With STDP
Response Dynamics in an Olivocerebellar Spiking Neural Network With Non-linear Neuron Properties
Distinct Thalamo-Cortical Controls for Shoulder, Elbow, and Wrist during Locomotion
Toward Software-Equivalent Accuracy on Transformer-Based Deep Neural Networks With Analog Memory Devices
Depth and the Uncertainty of Statistical Knowledge on Musical Creativity Fluctuate Over a Composer's Lifetime
Pattern activation/recognition theory of mind
Increased motor cortex excitability during motor imagery in brain-computer interface trained subjects
Electrical responses of three classes of granule cells of the olfactory bulb to synaptic inputs in different dendritic locations
Detection of subjects and brain regions related to Alzheimer's disease using 3D MRI scans based on eigenbrain and machine learning
Low-dimensional attractor for neural activity from local field potentials in optogenetic mice
A Multiscale, Systems-Level, Neuropharmacological Model of Cortico-Basal Ganglia System for Arm Reaching Under Normal, Parkinsonian, and Levodopa Medication Conditions
CNN-BiLSTM and DC-IGN fusion model and piecewise exponential attenuation optimization: an innovative approach to improve EEG emotion recognition performance
Optimal Organization of Functional Connectivity Networks for Segregation and Integration With Large-Scale Critical Dynamics in Human Brains
Cortical information flow in Parkinson's disease: a composite network/field model
Reinforced liquid state machines - new training strategies for spiking neural networks based on reinforcements
Efficient Temporal Coding in the Early Visual System: Existing Evidence and Future Directions
Distinguishing Linear vs. Non-Linear Integration in CA1 Radial Oblique Dendrites: It's about Time
A Phenomenological Model of the Electrically Stimulated Auditory Nerve Fiber: Temporal and Biphasic Response Properties
Skeleton-based motion prediction: A survey
On the role of spatial phase and phase correlation in vision, illusion, and cognition
Linear Parameter Varying Identification of Dynamic Joint Stiffness during Time-Varying Voluntary Contractions
Editorial: Neuromechanics and Control of Physical Behavior: From Experimental and Computational Formulations to Bio-inspired Technologies
Intelligent rehabilitation in an aging population: empowering human-machine interaction for hand function rehabilitation through 3D deep learning and point cloud
Common muscle synergies for balance and walking
A Hybrid Model for the Computationally-Efficient Simulation of the Cerebellar Granular Layer
Functional Brain Networks in Mild Cognitive Impairment Based on Resting Electroencephalography Signals
Phase-dependent modulation as a novel approach for therapeutic brain stimulation
Spatial frequency channels depend on stimulus bandwidth in normal and amblyopic vision: an exploratory factor analysis
Learning from open source software projects to improve scientific review
Revealing the Computational Meaning of Neocortical Interarea Signals
The Dissociation between Polarity, Semantic Orientation, and Emotional Tone as an Early Indicator of Cognitive Impairment
Stochastic model predicts evolving preferences in the Iowa gambling task
Survival prediction for patients with glioblastoma multiforme using a Cox proportional hazards denoising autoencoder network
Modeling the Encoding of Saccade Kinematic Metrics in the Purkinje Cell Layer of the Cerebellar Vermis
Hyperpolarization-Activated Current Induces Period-Doubling Cascades and Chaos in a Cold Thermoreceptor Model
Disinhibition-Induced Delayed Onset of Epileptic Spike-Wave Discharges in a Five Variable Model of Cortex and Thalamus
Theoretical foundations of the sound analog membrane potential that underlies coincidence detection in the barn owl
A Neural Controller Model Considering the Vestibulospinal Tract in Human Postural Control
Modeling spatio-temporal dynamics of network damage and network recovery
Deep learning for automatic segmentation of vestibular schwannoma: a retrospective study from multi-center routine MRI
Estimation of Time-Varying, Intrinsic and Reflex Dynamic Joint Stiffness during Movement. Application to the Ankle Joint
Spike Pattern Structure Influences Synaptic Efficacy Variability under STDP and Synaptic Homeostasis. I: Spike Generating Models on Converging Motifs
Hierarchical representation of shapes in visual cortex - from localized features to figural shape segregation
Lateral and feedforward inhibition suppress asynchronous activity in a large, biophysically-detailed computational model of the striatal network
A unified view on weakly correlated recurrent networks
Method for persistent topological features extraction of schizophrenia patients' electroencephalography signal based on persistent homology
Traveling pulses in a stochastic neural field model of direction selectivity
Unsupervised Learning and Clustered Connectivity Enhance Reinforcement Learning in Spiking Neural Networks
Thalamic Bursts and the Epic Pain Model