Computational Neuroscience
Computational models of the brain, neural coding, and brain-computer interfaces.
q-bio.NC · 115 papersA geometry aware framework enhances noninvasive mapping of whole human brain dynamics
A new framework, Geometric Basis Functions (GBF), uses individual cortical geometry to accurately map whole-brain spatiotemporal dynamics non-invasively.
One-shot emergency psychiatric triage across 15 frontier AI chatbots
Frontier AI chatbots accurately identify psychiatric emergencies but tend to over-triage lower-risk cases, showing varied overall accuracy.
Independent-Component-Based Encoding Models of Brain Activity During Story Comprehension
This paper introduces an independent component (IC)-based encoding framework to model brain activity during story comprehension, improving on traditional voxelwise methods.
Homology-based Morphometry of Brain Atrophy: Methods and Applications
This paper introduces two persistent homology-based pipelines for brain atrophy analysis, offering interpretable topological biomarkers without nonlinear registration.
Cortex-Inspired Continual Learning: Unsupervised Instantiation and Recovery of Functional Task Networks
Cortex-inspired Functional Task Networks (FTN) use self-organizing binary masks to prevent catastrophic forgetting and enable unsupervised task recovery in continual learning.
The Genetic and Environmental Architecture of the Human Functional Connectome
This paper improves twin models by explicitly accounting for measurement error to better understand genetic and environmental influences on the human functional connectome.
Sure About That Line? Approaching Confidence-Based, Real-Time Line Assignment in Reading Gaze Data
CONF-LA offers a low-latency, confidence-based method for real-time line assignment in noisy eye-tracking data, improving accuracy for reading support.
Persistent and anti-persistent stride-to-stride fluctuations: an ARFIMA decomposition consistent with closed-loop sensorimotor control
This paper uses ARFIMA models to show that fractal correlations in human walking are genuine long-memory processes, distinguishing them from short-memory effects.
From Players to Participants: Citizen Science and Video Games to Understand Cognition
This paper reviews how citizen science video games enable large-scale cognitive research, leveraging entertainment for scientific data collection.
Solution of a large nonlinear recurrent neural network at fixed connectivity
This paper calculates moments and response functions of large nonlinear recurrent neural networks without averaging synaptic weights.
Robust and Clinically Reliable EEG Biomarkers: A Cross Population Framework for Generalizable Parkinson's Disease Detection
This paper introduces a population-aware framework for developing robust and generalizable EEG biomarkers to detect Parkinson's disease across diverse clinical cohorts.
Integrative neurocybernetic modeling in the era of large-scale neuroscience
This paper proposes integrative neurocybernetic models to unify fragmented neuroscience data, inferring organizing principles of brain-behavior dynamics.
EyeBrain: Left and Right Brain Lateralization Activity Classification Through Pupil Diameter and Fixation Duration
This paper shows eye-tracking metrics like pupil diameter and fixation duration can classify left and right brain lateralization with high accuracy.
Triple Configuration of Brain Networks Based on Recurrent Neural Networks: The Synergistic Effects of Exogenous Stimuli, Task Demands, and Spontaneous Activity
This study uses RNNs to model how external stimuli, tasks, and spontaneous activity configure brain networks, identifying the parietal network as a key hub.
Linear equivalence of nonlinear recurrent neural networks
This paper proves that large nonlinear recurrent neural networks' covariance matrices are equivalent to those of linear networks, extending linear equivalence to recurrent systems.
Vision as looking and seeing through a bottleneck
This paper proposes vision operates as a bottleneck, where peripheral "looking" selects input for foveal "seeing," guided by V1 and top-down feedback.
What are the functions of primary visual cortex (V1)?
V1 functions beyond basic input transformation, acting as a motor cortex for saccades, initiating a processing bottleneck, and supporting recognition via feedback.
Early Preconfiguration Failure: A Novel Predictor of the Repetitive Subconcussion
This study uses EEG and visual tasks to identify early preconfiguration failure as a novel, millisecond-level predictor for repetitive subconcussive brain injuries.
Earable Platform with Integrated Simultaneous EEG Sensing and Auditory Stimulation
A new custom-molded in-ear EEG platform simultaneously senses brain activity and delivers auditory stimulation for comfortable, discreet neuromonitoring.
Resting-State EEG Biomarkers of Tinnitus Robust to Cross-Subject and Cross-Platform Variation
This paper identifies robust EEG biomarkers for tinnitus using Koopman operator analysis, showing altered oscillatory decay rates are key for cross-dataset generalization.
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