Subgraphs of functional brain networks identify dynamical constraints of cognitive control. by Ankit N Khambhati, John D Medaglia, Elisabeth A Karuza, Sharon L Thompson-Schill, Danielle S Bassett

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Linear-nonlinear cascades capture synaptic dynamics. by Julian Rossbroich, Daniel Trotter, John Beninger, Katalin Tóth, Richard Naud

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Lateralised memory networks may explain the use of higher-order visual features in navigating insects. by Giulio Filippi, James Knight, Andrew Philippides, Paul Graham

“…The result is shown to be largely independent of model parameter values, therefore suggesting that some aspects of higher-order processing of a visual scene may be emergent from the structure of the neural circuits, rather than computed in discrete processing modules.…”
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Olfactory learning without the mushroom bodies: Spiking neural network models of the honeybee lateral antennal lobe tract reveal its capacities in odour memory tasks of varied comp... by HaDi MaBouDi, Hideaki Shimazaki, Martin Giurfa, Lars Chittka

“…Olfactory stimuli are first processed in the antennal lobe, and then transferred to the mushroom body and lateral horn through dual pathways termed medial and lateral antennal lobe tracts (m-ALT and l-ALT). …”
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Sparse connectivity for MAP inference in linear models using sister mitral cells. by Sina Tootoonian, Andreas T Schaefer, Peter E Latham

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FLEM-XAI: Federated learning based real time ensemble model with explainable AI framework for an efficient diagnosis of lung diseases by Sivan Durga, Esther Daniel, Surleese Seetha, Vijaya Kumar Reshma, Vasily Sachnev

“…The computer-aided diagnosis helps medical professionals detect and classify lung diseases from chest X-rays by leveraging medical image processing and central server-based machine learning models. …”
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Machine learning in big data: A performance benchmarking study of Flink-ML and Spark MLlib by Messaoud MEZATI, Ines AOURIA

“…Among the most prominent ML libraries for large-scale data processing are Flink-ML, the machine learning extension of Apache Flink, and MLlib, the machine learning library of Apache Spark. …”
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lasertram: A Python library for time resolved analysis of laser ablation inductively coupled plasma mass spectrometry data by Jordan Lubbers, Adam J.R. Kent, Chris Russo

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Human perception of self-motion and orientation during galvanic vestibular stimulation and physical motion. by Aaron R Allred, Caroline R Austin, Lanna Klausing, Nicholas Boggess, Torin K Clark

“…Subsequently, we develop a novel computational model that predicts 6DoF self-motion and self-orientation perceptions for any GVS waveform and motion by modeling the vestibular afferent neuron dynamics modulated by GVS in conjunction with an observer central processing model. …”
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AUGUR, a flexible and efficient optimization algorithm for identification of optimal adsorption sites by Ioannis Kouroudis, Poonam, Neel Misciasci, Felix Mayr, Leon Müller, Zhaosu Gu, Alessio Gagliardi

“…Additionally, the pooling properties of graphs allow for the processing of molecules of different sizes by the same model. …”
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OOPS: Object-Oriented Polarization Software for analysis of fluorescence polarization microscopy images. by William F Dean, Tomasz J Nawara, Rose M Albert, Alexa L Mattheyses

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Model-Based Reasoning in Humans Becomes Automatic with Training. by Marcos Economides, Zeb Kurth-Nelson, Annika Lübbert, Marc Guitart-Masip, Raymond J Dolan

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Optimization of Coulomb energies in gigantic configurational spaces of multi-element ionic crystals by Konstantin Köster, Tobias Binninger, Payam Kaghazchi

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Teaching oxidation states to neural networks by Cristiano Malica, Nicola Marzari

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Non-bulk-like solvent behavior in the ribosome exit tunnel. by Del Lucent, Christopher D Snow, Colin Echeverría Aitken, Vijay S Pande

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Noise management by molecular networks. by Frank J Bruggeman, Nils Blüthgen, Hans V Westerhoff

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Efficient numerosity estimation under limited time. by Joseph A Heng, Michael Woodford, Rafael Polania

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Modeling circuit mechanisms of opposing cortical responses to visual flow perturbations. by J Galván Fraile, Franz Scherr, José J Ramasco, Anton Arkhipov, Wolfgang Maass, Claudio R Mirasso

“…The primary visual cortex (V1) is at the forefront of this sensory processing, orchestrating neural responses to perturbations in visual flow. …”
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STUDY ON DEEP LEARNING MODELS FOR THE CLASSIFICATION OF VR SICKNESS LEVELS by Haechan NA, Yoon Sang KIM

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Language models outperform cloze predictability in a cognitive model of reading. by Adrielli Tina Lopes Rego, Joshua Snell, Martijn Meeter

“…This is the first study to use LLMs to augment a cognitive model of reading with higher-order language processing while proposing a mechanism on the interplay between word predictability and eye movements.…”
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