AIMC Journal:
bioRxiv

Showing 1621 to 1630 of 4956 articles

Cholinergic modulation of reinforcement learning and prefrontal value computations under uncertainty

bioRxiv May 8, 2026
The neuromodulator acetylcholine has been suggested to govern learning under uncertainty. Here, we investigated the role of muscarinic acetylcholine receptors in reward-guided learning and decision making under different degrees of uncertainty. We ad...
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Integration of Deep-Learning and Species Distribution Models for Classification of Animal Species of the Brazilian Fauna

bioRxiv May 8, 2026
The automated classification of animals from photos is important in ecology and conservation biology for organizing and understanding the immense diversity of species, as well as facilitating effective conservation and management practices. It is equ...
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Activity dynamics allow early discrimination of infection-related survival outcomes

bioRxiv May 8, 2026
Predicting transitions between health, disease, and death across biological systems remains an important challenge with significant implications for both ecological management and medical intervention. Although the principles underlying these transit...
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A widespread internal brain state for fentanyl withdrawal

bioRxiv May 8, 2026
Opioid addiction is characterized by escalating drug use, driven in part by negative reinforcement from withdrawal, but the neural processes linking withdrawal to increased drug-taking remain poorly understood. Here, we use multisite local field pote...
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A shared neural code for gender across faces, bodies, and objects in the human brain

bioRxiv May 8, 2026
Humans can readily infer gender from diverse visual categories, including faces, bodies, and objects, yet it remains unclear whether the brain constructs a shared, category-general representation of gender. To fill the gap, we measured neural respons...
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Mapping the combinatorial coding between olfactory receptors and perception with deep learning

bioRxiv May 8, 2026
The sense of smell remains poorly understood, especially in contrast to visual and auditory coding. At the core of our sense of smell is the olfactory information flow, in which odorant molecules activate a subset of our olfactory receptors and combi...
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Input data when using neural networks to estimate lower-body torques from wearable sensors during gait: Is it of great influence?

bioRxiv May 8, 2026
Recent advancements in wearable sensors and machine learning show promise for estimating lower-body joint torques outside of laboratory settings. Inertial Measurement Units combined with Convolutional Neural Networks have proven effective for this ta...
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TopoFuseNet: Hierarchical Graph Representation Learning with Multi-Scale Topological Features for Accurate Drug Synergy Prediction

bioRxiv May 8, 2026
Accurate prediction of drug synergy is paramount for developing effective combination therapies and advancing personalized medicine. Although methods based on graph neural networks (GNNs) have become a prevalent approach, they often treat molecules a...
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A brain-inspired framework for memory prioritization in neural networks based on valence

bioRxiv May 8, 2026
Improving long-term memory in artificial neural networks remains an open challenge. To address this, we developed a novel brain-inspired framework for memory prioritization based on the principle of emotional valence. Our framework includes: (i) a va...
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STARMAP: A 3D-informed framework for mapping functional regions in proteins to regulatory and cellular phenotypes

bioRxiv May 8, 2026
Artificial Intelligence (AI) has transformed biology by revealing patterns in large-scale datasets and predicting regulatory relationships. Yet even the most advanced models often fail to identify biologically meaningful mechanisms from statistical a...
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