1968 papers
By integrating pharmacodynamic profiles with receptor density data from PET and autoradiography, this study maps the whole-brain distribution of classic hallucinogens and ketamine, revealing that their rapid antidepressant effects are driven by strong action in emotion-processing regions, particularly association cortices and supragranular layers.
This study utilizes whole-brain, cellular-resolution calcium imaging in zebrafish to uncover genotype-specific network wiring rules and functional connectivity patterns that predict seizure susceptibility and Dravet syndrome pathology even in the absence of observable seizures.
This study demonstrates that in the human posterior parietal cortex, hand-eye coordinated movements are encoded through additive, separable tuning curves for individual effectors, enabling the modular decoding of complex coordinated actions using decoders trained solely on single-effector movements.
This study establishes a framework for generating spatially registered, paired metabolomic and proteomic maps across entire rhesus monkey cortical hemispheres at millimeter resolution, utilizing novel computational algorithms to reveal conserved molecular gradients and reconstruct complete metabolic circuits that reflect spatially organized biological variance.
This study introduces a robust fusion hidden Markov modeling framework for simultaneous resting-state EEG-fMRI data, revealing a dominant, persistent brain state alongside two transient alternative states that exhibit distinct hemodynamic and electrophysiological characteristics.
This study presents a zero-parameter walk-sum framework that analytically derives frequency-dependent brain communication architecture directly from structural connectome topology, successfully predicting spatial coupling patterns across diverse MEG and intracranial EEG datasets while revealing how anesthesia and schizophrenia alter these structural channels.
This paper proposes "Disco," a unified theory suggesting that subicular activity encodes discontinuities in continuous experience—whether geometric, behavioral, or temporal—using a generalized vector-based coding scheme to explain diverse neural selectivity across various contexts.
The paper introduces HeteroRC, a biologically inspired and interpretable heterogeneous reservoir computing framework that outperforms conventional linear decoders and complex neural networks by effectively extracting latent nonlinear, non-phase-locked, and "activity-silent" information from dynamic neural responses without requiring manual feature engineering.
This paper introduces a physics-informed neural network framework that integrates the Balloon-Windkessel model into its training objective to accurately estimate latent neurovascular state variables and generate subject-specific haemodynamic response functions from fMRI data, overcoming the limitations of traditional phenomenological approaches.
This study demonstrates that Insulin-like Growth Factor 1 (IGF-1) exerts region-specific effects on glutamate receptor activity by inhibiting AMPA receptor-mediated calcium responses in neocortical neurons while enhancing them in hippocampal neurons, suggesting a potential neuroprotective role against excitotoxicity in the neocortex that may be compromised in conditions like insulin resistance.