Combining SNNs with filtering for efficient neural decoding in implantable brain-machine interfaces by Zhou Biyan, Pao-Sheng Vincent Sun, Arindam Basu

“…Extracting information from raw data at the source by using edge computing is a promising solution to this problem, with integrated intention decoders providing the best compression ratio. …”
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Stable developmental patterns of gene expression without morphogen gradients. by Maciej Majka, Nils B Becker, Pieter Rein Ten Wolde, Marcin Zagorski, Thomas R Sokolowski

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Mathematical reconstruction of the metabolic network in an in-vitro multiple myeloma model. by Elias Vera-Siguenza, Cristina Escribano-Gonzalez, Irene Serrano-Gonzalo, Kattri-Liis Eskla, Fabian Spill, Daniel Tennant

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Capturing the songs of mice with an improved detection and classification method for ultrasonic vocalizations (BootSnap). by Reyhaneh Abbasi, Peter Balazs, Maria Adelaide Marconi, Doris Nicolakis, Sarah M Zala, Dustin J Penn

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Stimulus uncertainty and relative reward rates determine adaptive responding in perceptual decision-making. by Luis de la Cuesta-Ferrer, Christina Koß, Sarah Starosta, Nils Kasties, Daniel Lengersdorf, Frank Jäkel, Maik C Stüttgen

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Predicting potential recovery of the endangered bromeliad Tillandsia utriculata: An agent-based modeling approach. by Alexandra M Campbell, Anna C Kula, Rachel S Jabaily, Brad Oberle, Brian Sidoti, Alex Capaldi, Erin N Bodine

“…Some rare species may persist through rapid evolution to tolerate or escape new threats, but representing the underlying ecological and evolutionary processes at the appropriate scale is analytically and computationally challenging. …”
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Equation-free analysis of two-component system signalling model reveals the emergence of co-existing phenotypes in the absence of multistationarity. by Rebecca B Hoyle, Daniele Avitabile, Andrzej M Kierzek

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Understanding disease-associated metabolic changes in human colonic epithelial cells using the iColonEpithelium metabolic reconstruction. by Boyu Jiang, Nick Quinn-Bohmann, Christian Diener, Vignesh Bose Nathan, Yu Han-Hallett, Lavanya Reddivari, Sean M Gibbons, Priyanka Baloni

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Generative AI extracts ecological meaning from the complex three dimensional shapes of bird bills. by Russell Dinnage, Marian Kleineberg

“…Data on the three dimensional shape of organismal morphology is becoming increasingly available, and forms part of a new revolution in high-throughput phenomics that promises to help understand ecological and evolutionary processes that influence phenotypes at unprecedented scales. …”
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The evolutionary analysis of emerging low frequency HIV-1 CXCR4 using variants through time--an ultra-deep approach. by John Archer, Andrew Rambaut, Bruce E Taillon, P Richard Harrigan, Marilyn Lewis, David L Robertson

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Impact of dendritic size and dendritic topology on burst firing in pyramidal cells. by Ronald A J van Elburg, Arjen van Ooyen

“…Our results suggest that alterations in size or topology of pyramidal cell morphology, such as observed in Alzheimer's disease, mental retardation, epilepsy, and chronic stress, could change neuronal burst firing and thus ultimately affect information processing and cognition.…”
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A novel yeast hybrid modeling framework integrating Boolean and enzyme-constrained networks enables exploration of the interplay between signaling and metabolism. by Linnea Österberg, Iván Domenzain, Julia Münch, Jens Nielsen, Stefan Hohmann, Marija Cvijovic

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How does a small molecule bind at a cryptic binding site? by Yibing Shan, Venkatesh P Mysore, Abba E Leffler, Eric T Kim, Shiori Sagawa, David E Shaw

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Maximizing information in neuron populations for neuromorphic spike encoding by Ahmad El Ferdaoussi, Eric Plourde, Jean Rouat

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Stochastic shielding and edge importance for Markov chains with timescale separation. by Deena R Schmidt, Roberto F Galán, Peter J Thomas

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Community detection in empirical kinase networks identifies new potential members of signalling pathways. by Celia De Los Angeles Colomina Basanta, Marya Bazzi, Maruan Hijazi, Conrad Bessant, Pedro R Cutillas

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Representational models: A common framework for understanding encoding, pattern-component, and representational-similarity analysis. by Jörn Diedrichsen, Nikolaus Kriegeskorte

“…Representational models specify how activity patterns in populations of neurons (or, more generally, in multivariate brain-activity measurements) relate to sensory stimuli, motor responses, or cognitive processes. In an experimental context, representational models can be defined as hypotheses about the distribution of activity profiles across experimental conditions. …”
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Scoring epidemiological forecasts on transformed scales. by Nikos I Bosse, Sam Abbott, Anne Cori, Edwin van Leeuwen, Johannes Bracher, Sebastian Funk

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Refractoriness in sustained visuo-manual control: is the refractory duration intrinsic or does it depend on external system properties? by Cornelis van de Kamp, Peter J Gawthrop, Henrik Gollee, Ian D Loram

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Patient-specific data fusion defines prognostic cancer subtypes. by Yinyin Yuan, Richard S Savage, Florian Markowetz

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