Optimizing the efficiency and adaptability of large language models (LLMs) for diverse downstream tasks remains a critical challenge. We propose FlexFFN (Flexible Feedforward Network), a novel ...
Songbird HVC sequences arise from a balance of ionic currents and structured inhibition, providing a mechanistic framework for understanding cortical sequence generation.
A new framework that causes artificial neural networks to mimic how real neural networks operate in the brain has been ...
What is ISO 20022, and why does it matter? ISO 20022 is a global standard that defines how financial institutions exchange information for transactions such as payments, securities and remittances. It ...
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From a neuroscience perspective, artificial neural networks are regarded as abstract models of biological neurons, yet they rely on biologically implausible backpropagation for training. Energy-based ...
Background: Biomarker discovery and drug response prediction are central to personalized medicine, driving demand for predictive models that also offer biological insights. Biologically informed ...
ABSTRACT: We explore the performance of various artificial neural network architectures, including a multilayer perceptron (MLP), Kolmogorov-Arnold network (KAN), LSTM-GRU hybrid recursive neural ...
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