yusuke1997/dblp-id-title huggingface dataset:
Modeling the tonotopic map using a two-dimensional array of neural oscillators
Learning and prospective recall of noisy spike pattern episodes
Using a hybrid neuron in physiologically inspired models of the basal ganglia
HTsort: Enabling Fast and Accurate Spike Sorting on Multi-Electrode Arrays
Bayesian hierarchical models and prior elicitation for fitting psychometric functions
Parameters for burst detection
Bio-inspired circular latent spaces to estimate objects' rotations
Cerebral lactate dynamics across sleep/wake cycles
On the relationship among different motor processes: a computational modeling approach
Toward a computational theory of manifold untangling: from global embedding to local flattening
Maximum likelihood estimation of spatially dependent interactions in large populations of cortical neurons
Phase Difference between Model Cortical Areas Determines Level of Information Transfer
Ayu-Characterization of healthy aging from neuroimaging data with deep learning and rsfMRI
Novel deep learning framework for detection of epileptic seizures using EEG signals
Automated Detection of Driver Fatigue Based on AdaBoost Classifier with EEG Signals
A wavelet-based neural model to optimize and read out a temporal population code
Biologically Plausible Training Mechanisms for Self-Supervised Learning in Deep Networks
Neuronal and behavioral affective perceptions of human and naturalness-reduced emotional prosodies
The flexion synergy, mother of all synergies and father of new models of gait
Spike Timing Dependent Plasticity: A Consequence of More Fundamental Learning Rules
How chaotic is the balanced state?
Synchronization Through Uncorrelated Noise in Excitatory-Inhibitory Networks
A novel mechanism for switching a neural system from one state to another
Active inference, morphogenesis, and computational psychiatry
Control of Absence Seizures by the Thalamic Feed-Forward Inhibition
Dynamic stability of sequential stimulus representations in adapting neuronal networks
Tonality Tunes the Statistical Characteristics in Music: Computational Approaches on Statistical Learning
Equilibrium States and Their Stability in the Head-Direction Ring Network
Evaluating State Space Discovery by Persistent Cohomology in the Spatial Representation System
Effective Subnetwork Topology for Synchronizing Interconnected Networks of Coupled Phase Oscillators
Effects of homeostatic constraints on associative memory storage and synaptic connectivity of cortical circuits
Feature integration and object representations along the dorsal stream visual hierarchy
A modelling study to dissect the potential role of voltage-gated ion channels in activity-dependent conduction velocity changes as identified in small fiber neuropathy patients
The lateral reticular nucleus; integration of descending and ascending systems regulating voluntary forelimb movements
Analysis of Structure and Dynamics in Three-Neuron Motifs
Dynamic Hebbian Cross-Correlation Learning Resolves the Spike Timing Dependent Plasticity Conundrum
A computational approach based on weighted gene co-expression network analysis for biomarkers analysis of Parkinson's disease and construction of diagnostic model
The Compression Flow as a Measure to Estimate the Brain Connectivity Changes in Resting State fMRI and 18FDG-PET Alzheimer's Disease Connectomes
Multiquantal release underlies the distribution of synaptic efficacies in the neocortex
Optogenetic manipulation of inhibitory interneurons can be used to validate a model of spatiotemporal sequence learning
Retooling Computational Techniques for EEG-Based Neurocognitive Modeling of Children's Data, Validity and Prospects for Learning and Education
A neurocomputational theory of how explicit learning bootstraps early procedural learning
Critical dynamics in associative memory networks
Tracking Replicability as a Method of Post-Publication Open Evaluation
Influence of T-Bar on Calcium Concentration Impacting Release Probability
A new method for identifying and evaluating depressive disorders in young people based on cognitive neurocomputing: an exploratory study
Forgetting Enhances Episodic Control With Structured Memories
Motion feature extraction using magnocellular-inspired spiking neural networks for drone detection
An efficient swarm intelligence approach to the optimization on high-dimensional solutions with cross-dimensional constraints, with applications in supply chain management
Subject-specific computational modeling of DBS in the PPTg area
Inception Modules Enhance Brain Tumor Segmentation
Automated Detection of High-Frequency Oscillations in Epilepsy Based on a Convolutional Neural Network
A Plastic Cortico-Striatal Circuit Model of Adaptation in Perceptual Decision
Humans and Deep Networks Largely Agree on Which Kinds of Variation Make Object Recognition Harder
A spatial map: a propitious choice for constraining the binding problem
A kinematic model for 3-D head-free gaze-shifts
Mitral cell spike synchrony modulated by dendrodendritic synapse location
Information representation in an oscillating neural field model modulated by working memory signals
Mechanisms of induction and maintenance of spike-timing dependent plasticity in biophysical synapse models
Systematic review of cognitive impairment in drivers through mental workload using physiological measures of heart rate variability
The Auditory-Brainstem Response to Continuous, Non-repetitive Speech Is Modulated by the Speech Envelope and Reflects Speech Processing
Dynamical predictive coding with reservoir computing performs noise-robust multi-sensory speech recognition
An algorithm for finding candidate synaptic sites in computer generated networks of neurons with realistic morphologies
Computational modeling suggests distinct, location-specific function of norepinephrine in olfactory bulb and piriform cortex
DTCNet: finger flexion decoding with three-dimensional ECoG data
Reducing the Effect of Spurious Phase Variations in Neural Oscillatory Signals
GAPCNN with HyPar: Global Average Pooling convolutional neural network with novel NNLU activation function and HYBRID parallelism
Object Recognition Can Be Viewpoint Dependent or Invariant - It's Just a Matter of Time and Task
Premotor cortex is critical for goal-directed actions
Neural Interactome: Interactive Simulation of a Neuronal System
Prediction and Modeling of Neuropsychological Scores in Alzheimer's Disease Using Multimodal Neuroimaging Data and Artificial Neural Networks
Emulated muscle spindle and spiking afferents validates VLSI neuromorphic hardware as a testbed for sensorimotor function and disease
Can Tumor Location on Pre-treatment MRI Predict Likelihood of Pseudo-Progression vs. Tumor Recurrence in Glioblastoma? - A Feasibility Study
Analysis of Biased Competition and Cooperation for Attention in the Cerebral Cortex
A Model-Based Assessment of the Seizure Onset Zone Predictive Power to Inform the Epileptogenic Zone
Network-based statistics for a community driven transparent publication process
A Study of English Learning Vocabulary Detection Based on Image Semantic Segmentation Fusion Network
Modeling place field activity with hierarchical slow feature analysis
Time and Category Information in Pattern-Based Codes
Noise-tuned bursting in a Hedgehog burster
A Model of Pattern Separation by Single Neurons
Design principles of the sparse coding network and the role of "sister cells" in the olfactory system of Drosophila
Comparing Cyclicity Analysis With Pre-established Functional Connectivity Methods to Identify Individuals and Subject Groups Using Resting State fMRI
Entropy, Uncertainty, and the Depth of Implicit Knowledge on Musical Creativity: Computational Study of Improvisation in Melody and Rhythm
Interactions between motion and form processing in the human visual system
A Low-Rank Method for Characterizing High-Level Neural Computations
The Interaction of Intrinsic Dynamics and Network Topology in Determining Network Burst Synchrony
Energy distribution property and energy coding of a structural neural network
Variant and Invariant Spatiotemporal Structures in Kinematic Coordination to Regulate Speed During Walking and Running
Electrical Activity in a Time-Delay Four-Variable Neuron Model under Electromagnetic Induction
On the Relationship Between Muscle Synergies and Redundant Degrees of Freedom in Musculoskeletal Systems
Corrigendum: Demystifying Brain Tumor Segmentation Networks: Interpretability and Uncertainty Analysis
Multiple-Timescale Neural Networks: Generation of History-Dependent Sequences and Inference Through Autonomous Bifurcations
Contextual Modulation is Related to Efficiency in a Spiking Network Model of Visual Cortex
Cortico-Hippocampal Computational Modeling Using Quantum-Inspired Neural Networks
Visual dictionaries as intermediate features in the human brain
Non-uniqueness Phenomenon of Object Representation in Modeling IT Cortex by Deep Convolutional Neural Network (DCNN)
A circular model for song motor control in Serinus canaria
The neuronal response at extended timescales: long-term correlations without long-term memory
Fusimotor control of spindle sensitivity regulates central and peripheral coding of joint angles
Neural masses and fields: modeling the dynamics of brain activity
The Use of Reduced Models to Generate Irregular, Broad-Band Signals That Resemble Brain Rhythms
Motor thalamus integration of cortical, cerebellar and basal ganglia information: implications for normal and parkinsonian conditions
A Winding Road: Alzheimer's Disease Increases Circuitous Functional Connectivity Pathways
Dynamical Graph Theory Networks Methods for the Analysis of Sparse Functional Connectivity Networks and for Determining Pinning Observability in Brain Networks
A hierarchical Bayesian inference model for volatile multivariate exponentially distributed signals
Semantic Relatedness Emerges in Deep Convolutional Neural Networks Designed for Object Recognition
Hierarchical Neural Representation of Dreamed Objects Revealed by Brain Decoding with Deep Neural Network Features
Editorial: The embodied brain: computational mechanisms of integrated sensorimotor interactions with a dynamic environment, volume II
Patterns of synchronization in 2D networks of inhibitory neurons
Computer vision quantization research on the architectural color of Avenida de Almeida Ribeiro in Macau based on the human eye perspective
Treatment Enhances Betweenness Centrality of Fronto-Parietal Network in Parkinson's Patients
Restoring the encoding properties of a stochastic neuron model by an exogenous noise
Presence of a Chaotic Region at the Sleep-Wake Transition in a Simplified Thalamocortical Circuit Model
A self-organizing model of perisaccadic visual receptive field dynamics in primate visual and oculomotor system
Fractional-Order Traveling Wave Approximations for a Fractional-Order Neural Field Model
Algorithms for the analysis of ensemble neural spiking activity using simultaneous-event multivariate point-process models
Improving Cross-Day EEG-Based Emotion Classification Using Robust Principal Component Analysis
Learning view invariant recognition with partially occluded objects
Eight challenges in developing theory of intelligence
Epileptic focus localization using transfer learning on multi-modal EEG
Modeling the shape hierarchy for visually guided grasping
The connectivity degree controls the difficulty in reservoir design of random boolean networks
Exploration of complex visual feature spaces for object perception
The Role of Architectural and Learning Constraints in Neural Network Models: A Case Study on Visual Space Coding
A computational paradigm for dynamic logic-gates in neuronal activity
Spatial component analysis of MRI data for Alzheimer's disease diagnosis: a Bayesian network approach
Brain circuits underlying visual stability across eye movements - converging evidence for a neuro-computational model of area LIP
Bayesian deterministic decision making: a normative account of the operant matching law and heavy-tailed reward history dependency of choices
Corrigendum: Recording Neural Activity Based on Surface Plasmon Resonance by Optical Fibers-A Computational Analysis
Enhanced polychronization in a spiking network with metaplasticity
Closed-Form Treatment of the Interactions between Neuronal Activity and Timing-Dependent Plasticity in Networks of Linear Neurons
cuSCNN: A Secure and Batch-Processing Framework for Privacy-Preserving Convolutional Neural Network Prediction on GPU
Controlling Alzheimer's Disease Through the Deep Brain Stimulation to Thalamic Relay Cells
Interplay of two signals in a neuron with heterogeneous synaptic short-term plasticity
Interaction of short-term depression and firing dynamics in shaping single neuron encoding
LGNN: a novel linear graph neural network algorithm
Neuronal Degeneration Impairs Rhythms Between Connected Microcircuits
Adaptive Tuning Curve Widths Improve Sample Efficient Learning
Modeling attention-driven plasticity in auditory cortical receptive fields
Beta-Band Resonance and Intrinsic Oscillations in a Biophysically Detailed Model of the Subthalamic Nucleus-Globus Pallidus Network
A Spiking Neural Network Model of the Medial Superior Olive Using Spike Timing Dependent Plasticity for Sound Localization
Striatal Neuropeptides Enhance Selection and Rejection of Sequential Actions
Emergence of Modular Structure in a Large-Scale Brain Network with Interactions between Dynamics and Connectivity
Modeling Emotions Associated With Novelty at Variable Uncertainty Levels: A Bayesian Approach
Sparse short-distance connections enhance calcium wave propagation in a 3D model of astrocyte networks
Image Quality Evaluation of Light Field Image Based on Macro-Pixels and Focus Stack
Editorial: The new frontier in brain network physiology: from temporal dynamics to the principles of integration in physiological brain networks
Desynchronization boost by non-uniform coordinated reset stimulation in ensembles of pulse-coupled neurons
A neural learning approach for simultaneous object detection and grasp detection in cluttered scenes
Perspectives for computational modeling of cell replacement for neurological disorders
Compositionality in neural control: an interdisciplinary study of scribbling movements in primates
A Neural Network Model With Gap Junction for Topological Detection
Intrinsic Spine Dynamics Are Critical for Recurrent Network Learning in Models With and Without Autism Spectrum Disorder
Classification of Alzheimer's Disease, Mild Cognitive Impairment, and Normal Controls With Subnetwork Selection and Graph Kernel Principal Component Analysis Based on Minimum Spanning Tree Brain Functional Network
Facial emotion recognition using deep quantum and advanced transfer learning mechanism
A neuromorphic system for video object recognition
Drifting States and Synchronization Induced Chaos in Autonomous Networks of Excitable Neurons
Conductance-Based Neuron Models and the Slow Dynamics of Excitability
Linking reward processing to behavioral output: motor and motivational integration in the primate subthalamic nucleus
Adaptive transition rates in excitable membranes
Hyperscanning fNIRS data analysis using multiregression dynamic models: an illustration in a violin duo
Decoding Digital Visual Stimulation From Neural Manifold With Fuzzy Leaning on Cortical Oscillatory Dynamics
An electrophysiological validation of stochastic DCM for fMRI
Transition of Neural Activity From the Chaotic Bipolar-Disorder State to the Periodic Healthy State Using External Feedback Signals
Retraction: Spiking correlation analysis of synchronous spikes evoked by acupuncture mechanical stimulus
Neurocomputational mechanisms underlying perception and sentience in the neocortex
Model selection for the extraction of movement primitives
An information theoretic score for learning hierarchical concepts
Computational models of the Posner simple and choice reaction time tasks
Corrigendum: Using Science and Psychology to improve the dissemination and evaluation of scientific work
An algorithm to predict the connectome of neural microcircuits
Gaussian mixture models and semantic gating improve reconstructions from human brain activity
Optimal Stimulation Protocol in a Bistable Synaptic Consolidation Model
Learning and stabilization of winner-take-all dynamics through interacting excitatory and inhibitory plasticity
Conduction Delay Learning Model for Unsupervised and Supervised Classification of Spatio-Temporal Spike Patterns
Toward a New Model of Scientific Publishing: Discussion and a Proposal
Parametric models to relate spike train and LFP dynamics with neural information processing
Stable learning of functional maps in self-organizing spiking neural networks with continuous synaptic plasticity
Emergence of Neuronal Synchronisation in Coupled Areas
Hebbian crosstalk prevents nonlinear unsupervised learning
Gender-Dependent Changes in Time Production Following Quadrato Motor Training in Dyslexic and Normal Readers
An Alternative Theory of Binocularity
Mini-max feedback control as a computational theory of sensorimotor control in the presence of structural uncertainty
Summation in the Hippocampal CA3-CA1 Network Remains Robustly Linear Following Inhibitory Modulation and Plasticity, but Undergoes Scaling and Offset Transformations
AD-Diff: enhancing Alzheimer's disease prediction accuracy through multimodal fusion
Optimal Self-Induced Stochastic Resonance in Multiplex Neural Networks: Electrical vs. Chemical Synapses
Editorial: Understanding and bridging the gap between neuromorphic computing and machine learning, volume II
Will We Ever Have Conscious Machines?
Temporal Dissociation of Neocortical and Hippocampal Contributions to Mental Time Travel Using Intracranial Recordings in Humans
The advantage of flexible neuronal tunings in neural network models for motor learning
Can cellular automata be a representative model for visual perception dynamics?
Magnetoencephalography in Preoperative Epileptic Foci Localization: Enlightenment from Cognitive Studies
Depth information in natural environments derived from optic flow by insect motion detection system: a model analysis
Comparison of neuronal spike exchange methods on a Blue Gene/P supercomputer
Unveiling complexity: non-linear and fractal analysis in neuroscience and cognitive psychology
Hammering Does Not Fit Fitts' Law
A Phenomenological Synapse Model for Asynchronous Neurotransmitter Release
A novel associative memory model based on semi-tensor product (STP)
EEG-based emotion recognition using hybrid CNN and LSTM classification
A micro-pool model for decision-related signals in visual cortical areas
Feature Detection in Visual Cortex during Different Functional States
Synaptic Diversity Suppresses Complex Collective Behavior in Networks of Theta Neurons
Stimulus number, duration and intensity encoding in randomly connected attractor networks with synaptic depression
One hundred ways to process time, frequency, rate and scale in the central auditory system: a pattern-recognition meta-analysis
Editorial: Neural and Computational Modeling of Movement Control
The Neuroscience of Spatial Navigation and the Relationship to Artificial Intelligence
Simulated synapse loss induces depression-like behaviors in deep reinforcement learning
The mesoanatomy of the cortex, minimization of free energy, and generative cognition
BIAS-3D: Brain inspired attentional search model fashioned after what and where/how pathways for target search in 3D environment
OpenWorm: an open-science approach to modeling Caenorhabditis elegans
Impact of stochastic fluctuations in the cell free layer on nitric oxide bioavailability
Extracting Dynamical Understanding From Neural-Mass Models of Mouse Cortex
End-to-end model-based trajectory prediction for ro-ro ship route using dual-attention mechanism
Saccadic gain adaptation is predicted by the statistics of natural fluctuations in oculomotor function
Latent dynamics of primary sensory cortical population activity structured by fluctuations in the local field potential
Exploring Parameter and Hyper-Parameter Spaces of Neuroscience Models on High Performance Computers With Learning to Learn
Rényi entropy-complexity causality space: a novel neurocomputational tool for detecting scale-free features in EEG/iEEG data
Editorial: Modularity in motor control: from muscle synergies to cognitive action representation
Deciphering Elapsed Time and Predicting Action Timing from Neuronal Population Signals
Influence of extracellular oscillations on neural communication: a computational perspective
Neural Synchronization from the Perspective of Non-linear Dynamics
Intra- and Inter-subject Variability in EEG-Based Sensorimotor Brain Computer Interface: A Review
Between-subject variability of muscle synergies during a complex motor skill
Prediction of emotion distribution of images based on weighted K-nearest neighbor-attention mechanism
Pathological cell assembly dynamics in a striatal MSN network model
Balanced Active Core in Heterogeneous Neuronal Networks
Analysis and Modeling of Ensemble Recordings from Respiratory Pre-Motor Neurons Indicate Changes in Functional Network Architecture after Acute Hypoxia
STDP in Oscillatory Recurrent Networks: Theoretical Conditions for Desynchronization and Applications to Deep Brain Stimulation
Does Your Loved One With Cognitive Symptoms Need to See a Doctor? Check It Online
Engineered biological neuronal networks as basic logic operators
Cannabinoid signaling and risk in Huntington's disease
Bayesian continual learning via spiking neural networks
Common characteristics of variants linked to autism spectrum disorder in the WAVE regulatory complex
Computational and Experimental Approaches to Visual Aesthetics
Learning structure of sensory inputs with synaptic plasticity leads to interference
iSeizdiag: toward the framework development of epileptic seizure detection for healthcare
Modeling functional connectivity changes during an auditory language task using line graph neural networks
Topological Schemas of Memory Spaces
Fast monitoring of epileptic seizures using recurrence time statistics of electroencephalography
Computational model of precision grip in Parkinson's disease: a utility based approach
The effect of hearing impairment and social participation on depressive symptoms in older adults: a cross-lagged analysis
A long journey into reproducible computational neuroscience
Corrigendum: A General Model of Ion Passive Transmembrane Transport Based on Ionic Concentration
Hippocampal Neurogenesis Reduces the Dimensionality of Sparsely Coded Representations to Enhance Memory Encoding
Macroscopic complexity from an autonomous network of networks of theta neurons
Limitations of short range Mexican hat connection for driving target selection in a 2D neural field: activity suppression and deviation from input stimuli
An Active Inference Approach to Modeling Structure Learning: Concept Learning as an Example Case
Alleviating the medical strain: a triage method via cross-domain text classification
Combining segmentation and attention: a new foveal attention model
Influence of Tempo and Rhythmic Unit in Musical Emotion Regulation
Volterra dendritic stimulus processors and biophysical spike generators with intrinsic noise sources
Commentary: Feedback stabilizes propagation of synchronous spiking in cortical neural networks
Variational Online Learning of Neural Dynamics
Erratum: Covariance properties under natural image transformations for the generalised Gaussian derivative model for visual receptive fields
The synaptic correlates of serial position effects in sequential working memory
Dynamic probability integration for electroencephalography-based rapid serial visual presentation performance enhancement: Application in nighttime vehicle detection
Synaptic polarity of the interneuron circuit controlling C. elegans locomotion
Theta-Nested Gamma Oscillations in Next Generation Neural Mass Models
A high-capacity model for one shot association learning in the brain
A comparative analysis of masking empirical mode decomposition and a neural network with feed-forward and back propagation along with masking empirical mode decomposition to improve the classification performance for a reliable brain-computer interface
Extracting Reproducible Time-Resolved Resting State Networks Using Dynamic Mode Decomposition