bioRxiv

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Structured stabilization in recurrent neural circuits through inhibitory synaptic plasticity

bioRxiv Jan 1, 2025
Inhibitory interneurons play a dual role in recurrently connected biological circuits: they regulate global neural activity to prevent runaway excitation, and contribute to diverse neural computations. While the first role can be achieved through uns...
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Predicting functional topography of the human visual cortex from cortical anatomy at scale

bioRxiv Jan 1, 2025
Topographic organization, whereby neighboring cortical locations encode neighboring features in sensory or cognitive space, is a fundamental principle of brain function. Existing approaches for obtaining individual-specific topographic maps either re...
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High frequency bursts facilitate fast communication for human spatial attention

bioRxiv Jan 1, 2025
Brain-wide communication supporting flexible behavior requires coordination between sensory and associative regions but how brain networks route sensory information at fast timescales to guide action remains unclear. Using human intracranial electrop...
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Indistinguishability domains of neural microcircuit motifs mapped through classification scores of postsynaptic spike counts

bioRxiv Jan 1, 2025
In the kinetic modeling of a chemical synapse, the reversal potential (Esyn) and conductance amplitude () of the synapse jointly regulate the spike-induced activity of the postsynaptic neuron. We simulate two-neuron microcircuit motifs of feedforward...
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A Caveat Regarding the Unfolding Argument: Implications of Plasticity for Computational Theories of Consciousness

bioRxiv Jan 1, 2025
The unfolding argument in the neuroscience of consciousness posits that causal structure cannot account for consciousness because any recurrent neural network (RNN) can be “unfolded” into a functionally equivalent feedforward neural network (FNN) wit...
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Ensembles of Graph Neural Networks Supervised by Genotype-to-Phenotype Structures Improved Genomic Prediction Performance

bioRxiv Jan 1, 2025
Accurate selection of favourable crop genotypes has motivated the exploration of diverse prediction algorithms for crop breeding applications. One genomic prediction method that has not been fully explored is graph attention networks (GAT). By direct...
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GatorSC: Multi-Scale Cell and Gene Graphs with Mixture-of-Experts Fusion for Single-Cell Transcriptomics

bioRxiv Jan 1, 2025
Single-cell RNA sequencing (scRNA-seq) enables high-resolution characterization of cellular heterogeneity, but its rich, complementary structure across cells and genes remains underexploited, especially in the presence of technical noise and sparsity...
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Why motor learning involves multiple systems: an algorithmic perspective

bioRxiv Jan 1, 2025
The initial stage of learning motor skills involves exploring vast action spaces, making it impractical to learn the value of every possible action independently. This poses a challenge for standard reinforcement learning approaches, which excel in c...
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Large generative mRNA language foundation model for efficient coding sequence generation and design with mRNA-GPT

bioRxiv Jan 1, 2025
mRNA design plays a central role in synthetic biology, nucleic acid therapeutics, and vaccine development. Although large language models are applied in many biological fields, generative language models for de novo mRNA design remains largely unexpl...
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Functional architecture of cardiac TF regulatory landscapes in control of mammalian heart development

bioRxiv Jan 1, 2025
Congenital heart disease (CHD), the most common human birth defect, often results from disruptions in gene regulatory networks (GRNs) that control cardiac lineage specification and cell type identity during heart development. A conserved core set of ...
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