AIMC Journal:
bioRxiv

Showing 2001 to 2010 of 4956 articles

SpatialFusion: A lightweight multimodal foundation model for pathway-informed spatial niche mapping

bioRxiv
Foundation models enable knowledge transfer across data modalities and tasks, yet foundation models for spatial biology remain in their early stages, largely centered on encoding single-cell representations in spatial context without fully integratin...

Interpretable machine learning meets systems biology to decode genotype-phenotype maps

bioRxiv
Resolving causal genes from quantitative trait loci (QTL) remains fundamentally limited by linkage disequilibrium. We developed an interpretable machine learning framework that captures higher-order nonlinear genotype-phenotype relationships and allo...

Metastable Neural Assemblies on a Wiring-Weight Continuum

bioRxiv
Neural population activity typically evolves on low-dimensional manifolds and can be described as trajectories in attractor-like state spaces, including metastable switching among quasi-stable assembly states. Here we develop a unified definition of ...

Backwards compatibility to classical experiments grounds beta responses to naturalistic speech in temporal acoustic forecasting

bioRxiv
Current neuroscience is shifting from simple controlled paradigms towards rich and ecologically valid naturalistic stimuli. Correspondingly, insights from historic "impoverished" artificial paradigms are considered to be seriously challenged by gener...

A widespread electrical brain network encodes anxiety in health and depressive states

bioRxiv
In rodents, anxiety is characterized by heightened vigilance during low-threat and uncertain situations. Though activity in the frontal cortex and limbic system is fundamental to supporting this internal state, the underlying network architecture tha...

ChromBERT: Uncovering Chromatin State Motifs in the Human Genome Using a BERT-based Approach

bioRxiv
Chromatin states, which are defined by specific combinations of histone post-translational modifications, are fundamental to gene regulation and cellular identity. Despite their importance, comprehensive patterns within chromatin state sequences, whi...

Identification of compounds that repress DUX4 expression in facioscapulohumeral muscular dystrophy

bioRxiv
Facioscapulohumeral muscular dystrophy (FSHD) is caused by epigenetic dysregulation of the disease locus, leading to pathogenic misexpression of DUX4 in skeletal muscle. Thus, most FSHD therapeutic approaches target DUX4. Our previous study identifie...

Toward defining loss functions in neuroscience: an XOR-based neuronal mechanism

bioRxiv
One of the most compelling ideas for bridging neuroscience and artificial neural networks is the establishment of a framework based on three main components: network architecture, optimization mechanism, and loss (or objective) function to be minimiz...

Neural signatures of impaired semantic contextualization in Autism Spectrum Disorder

bioRxiv
Some accounts of the etiology of autism emphasize core impairments in predictive coding, or, more fundamentally, integration of contextual information into perceptual processes. This idea has the potential to link symptoms of autism to specific neuro...

Using image classifiers to predict CMT2A disease-relevant mitochondrial motility phenotypes in iPSC motor neurons

bioRxiv
Charcot-Marie-Tooth disease type 2A (CMT2A) is a genetic disease characterized by autosomal dominant MFN2 mutations and dysregulated mitochondrial trafficking. While there is currently no FDA-approved CMT2A therapy, the recent development of iPSC mot...