#cognitive-modeling News & Analysis

5 articles tagged with #cognitive-modeling. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

5 articles

AINeutralarXiv – CS AI · Mar 67/10

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BioLLMAgent: A Hybrid Framework with Enhanced Structural Interpretability for Simulating Human Decision-Making in Computational Psychiatry

Researchers introduce BioLLMAgent, a hybrid framework combining reinforcement learning models with large language models to simulate human decision-making in computational psychiatry. The framework demonstrates strong interpretability while accurately reproducing human behavioral patterns and successfully simulating cognitive behavioral therapy principles.

AIBullisharXiv – CS AI · Mar 116/10

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Cognitively Layered Data Synthesis for Domain Adaptation of LLMs to Space Situational Awareness

Researchers developed BD-FDG, a framework for adapting large language models to complex engineering domains like space situational awareness. The method creates high-quality training datasets using structured knowledge organization and cognitive layering, resulting in SSA-LLM-8B that shows 144-176% BLEU-1 improvements while maintaining general performance.

AIBullisharXiv – CS AI · Mar 55/10

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DecNefSimulator: A Modular, Interpretable Framework for Decoded Neurofeedback Simulation Using Generative Models

Researchers have developed DecNefSimulator, a new simulation framework that models Decoded Neurofeedback (DecNef) brain modulation as a machine learning problem. The framework uses generative AI models to simulate participants and optimize neurofeedback protocols before human testing, potentially reducing costs and improving reliability of brain-computer interface research.

AINeutralarXiv – CS AI · Mar 54/10

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Inhibitory Cross-Talk Enables Functional Lateralization in Attention-Coupled Latent Memory

Researchers developed a memory-augmented transformer that uses attention for retrieval, consolidation, and write-back operations, with lateralized memory banks connected through inhibitory cross-talk. The inhibitory coupling mechanism enables functional specialization between memory banks, achieving superior performance on episodic recall tasks while maintaining rule-based prediction capabilities.

AINeutralarXiv – CS AI · Feb 274/105

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Simulation-based Optimization for Augmented Reading

Researchers propose a new approach to augmented reading systems that uses simulation-based optimization and resource-rational models of human cognition. The method includes offline design exploration and online personalization to create adaptive reading interfaces without extensive human testing.