AIMC Journal:
bioRxiv

Showing 2951 to 2960 of 4993 articles

Linguistic coupling between neural systems for speech production and comprehension during real-time dyadic conversations

bioRxiv Jan 1, 2025
The core use of human language is communicating complex ideas from one mind to another in everyday conversations. In conversations, comprehension and production processes are intertwined, as speakers soon become listeners, and listeners become speake...
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Multi-task machine learning reveals the functional neuroanatomy fingerprint of mental processing

bioRxiv Jan 1, 2025
Mental processing delineates the functions of human mind encompassing a wide range of motor, sensory, emotional, and cognitive processes, each of which is underlain by the neuroanatomical substrates. Identifying accurate representation of functional ...
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‘Backpropagation and the brain’ realized in cortical error neuron microcircuits

bioRxiv Jan 1, 2025
Neural responses to mismatches between expected and actual stimuli have been widely reported across different species. How does the brain use such error signals for learning? While global error signals can be useful, their ability to learn complex co...
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Rapid Identification of Metal Resistance Genes Using an Enhanced ResNet Deep Learning Model Trained on a largely Expanded BacMet-Based Database

bioRxiv Jan 1, 2025
Heavy metal pollution poses significant risks to both the environment and public health. Effective management requires not only reducing contaminants but also understanding microbial adaptation, which could be achieved through the comprehensive ident...
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Auto-MedCalc: Automated Biomarkers Discovery and Risk Score Generation with AI Agents

bioRxiv Jan 1, 2025
Identifying biomarkers and generating risk scores are usually essential tasks in many biomedicine and clinical scenarios. However, this is a highly hypothesis-driven and experience-dependent process requiring extensive experiments as well. How to dis...
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HLAIIPred: Cross-Attention Mechanism for Modeling the Interaction of HLA Class II Molecules with Peptides

bioRxiv Jan 1, 2025
We introduce HLAIIPred, a deep learning model to predict peptides presented by class II human leukocyte antigens (HLAII) on the surface of antigen presenting cells. HLAIIPred is trained using a Transformer-based neural network and a dataset comprisin...
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Recognizing EEG responses to active TMS vs. sham stimulations in different TMS-EEG datasets: a machine learning approach

bioRxiv Jan 1, 2025
Transcranial Magnetic Stimulation (TMS) with simultaneous Electroencephalogram (TMS-EEG) allows assessing the neurophysiological properties of cortical neurons. However, TMS-evoked EEG potentials (TEPs) can be affected by components unrelated to TMS ...
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Denoising 7T Structural MRI with Conditional Generative Diffusion Models

bioRxiv Jan 1, 2025
7T MRI offers ultra-high resolution and improved sensitivity for iron deposition in neurodegenerative disorders, but commonly used acquisitions are long and hence challenging, especially for elderly subjects. Efficiently denoising a short acquisition...
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Spatiotemporal Abstraction Theory: Re‐Interpretation of Localized Cortical Networks

bioRxiv Jan 1, 2025
The brain excels at extracting meaning from noisy and degraded input, yet the computational principles that underlie this robustness remain unclear. We propose a theory of spatiotemporal abstraction (STA), in which localized cortical networks integra...
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Under which circumstances do genomic neural networks learn motifs and their interactions?

bioRxiv Jan 1, 2025
The use of neural networks to model genomic data in sequence-to-function scenarios has soared over the last decade. There remains much debate about whether these models are interpretable, either inherently, or when using downstream interpretability o...
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