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Jean-Baptiste Lamarck was among first to suggest that certain acquired traits may be heritable from parents to offspring. In this study, I examine whether and what aspects of sensorimotor conditioning by parents prior to conception may…

Neurons and Cognition · Quantitative Biology 2015-07-23 Ziv Williams

The animals, in particular insects (Drosophila melanogaster), response towards odor stimuli in nature can be established by measuring the dynamic of the odor response. Such an approach is innovative since responses to odors were tested only…

Quantitative Methods · Quantitative Biology 2009-07-20 Agnieszka Ruebenbauer

Living systems continually respond to signals from the surrounding environment. Survival requires that their responses adapt quickly and robustly to the changes in the environment. One particularly challenging example is olfactory…

Neurons and Cognition · Quantitative Biology 2024-10-08 Kiri Choi , Will Rosenbluth , Isabella R. Graf , Nirag Kadakia , Thierry Emonet

This article provides a background and descriptive analysis of insect memory and the coding of olfactory sensation in Drosophila, presenting graphs and summary statistics from a large dataset of neurons and synapses that was recently made…

Neurons and Cognition · Quantitative Biology 2022-09-07 Chris Rohlfs

Animals smelling in the real world use a small number of receptors to sense a vast number of natural molecular mixtures, and proceed to learn arbitrary associations between odors and valences. Here, we propose a new interpretation of how…

Neurons and Cognition · Quantitative Biology 2017-07-10 Kamesh Krishnamurthy , Ann M Hermundstad , Thierry Mora , Aleksandra M Walczak , Vijay Balasubramanian

Gene expression levels are important molecular quantitative traits that link genotypes to molecular functions and fitness. In Drosophila, population-genetic studies in recent years have revealed substantial adaptive evolution at the genomic…

Populations and Evolution · Quantitative Biology 2015-04-06 Armita Nourmohammad , Joachim Rambeau , Torsten Held , Johannes Berg , Michael Lassig

In many species, genomic data have revealed pervasive adaptive evolution indicated by the fixation of beneficial alleles. However, when selection pressures are highly variable along a species range or through time adaptive alleles may…

Populations and Evolution · Quantitative Biology 2014-11-10 Alan O. Bergland , Emily L. Behrman , Katherine R. O'Brien , Paul S. Schmidt , Dmitri A. Petrov

We study subliminal learning, a surprising phenomenon where language models transmit behavioral traits via semantically unrelated data. In our main experiments, a "teacher" model with some trait T (such as liking owls or being misaligned)…

Machine Learning · Computer Science 2025-07-22 Alex Cloud , Minh Le , James Chua , Jan Betley , Anna Sztyber-Betley , Jacob Hilton , Samuel Marks , Owain Evans

Understanding how animals make foraging decisions in challenging or unpleasant contexts sheds light on the processes that underlie cognitive development and the evolution of adaptive foraging techniques in complex ecological settings. In…

Quantitative Methods · Quantitative Biology 2025-04-14 Tuhin Subhra Pal , Prithwiraj Debnath , Sagarika Biswas , Anindita Bhadra

Lifelong development allows animals and machines to adapt to changes in the environment as well as in their own systems, such as wear and tear in sensors and actuators. An important use case of such adaptation is industrial odor-sensing.…

Instrumentation and Detectors · Physics 2024-04-15 J. Warner , A. Devaraj , R. Miikkulainen

The mammalian olfactory system learns rapidly from very few examples, presented in unpredictable online sequences, and then recognizes these learned odors under conditions of substantial interference without exhibiting catastrophic…

Neural and Evolutionary Computing · Computer Science 2019-07-15 Ayon Borthakur , Thomas A. Cleland

Aging affects almost all aspects of an organism -- its morphology, its physiology, its behavior. Isolating which biological mechanisms are regulating these changes, however, has proven difficult, potentially due to our inability to…

Quantitative Methods · Quantitative Biology 2022-05-04 Katherine E. Overman , Daniel M. Choi , Kawai Leung , Joshua W. Shaevitz , Gordon J. Berman

Animals adjust their behavioral response to sensory input adaptively depending on past experiences. The flexible brain computation is crucial for survival and is of great interest in neuroscience. The nematode C. elegans modulates its…

Neurons and Cognition · Quantitative Biology 2024-02-26 Kevin S. Chen , Anuj K. Sharma , Jonathan W. Pillow , Andrew M. Leifer

People make strategic decisions many times a day - during negotiations, when coordinating actions with others, or when choosing partners for cooperation. The resulting dynamics can be studied with learning theory and evolutionary game…

Populations and Evolution · Quantitative Biology 2026-03-26 Marta C. Couto , Fernando P. Santos , Christian Hilbe

Studies of insect olfactory processing indicate that odors are represented by rich spatio-temporal patterns of neural activity. These patterns are very difficult to predict a priori, yet they are stimulus specific and reliable upon repeated…

Neurons and Cognition · Quantitative Biology 2007-05-23 M. I. Rabinovich , R. Huerta , A. Volkovskii , Henry D. I. Abarbanel , G. Laurent

Animal behavior and neural recordings show that the brain is able to measure both the intensity of an odor and the timing of odor encounters. However, whether intensity or timing of odor detections is more informative for olfactory-driven…

Quantitative Methods · Quantitative Biology 2021-06-17 Nicola Rigolli , Nicodemo Magnoli , Lorenzo Rosasco , Agnese Seminara

The model of interaction between learning and evolutionary optimization is designed and investigated. The evolving population of modeled organisms is considered. The mechanism of the genetic assimilation of the acquired features during a…

Neural and Evolutionary Computing · Computer Science 2014-11-20 Vladimir G. Red'ko

Associating multiple sensory cues with a single experience or object is a fundamental process that improves object recognition and memory performance. However, neural mechanisms that bind sensory features during learning and augment memory…

Recent studies have consistently inferred high rates of adaptive molecular evolution between Drosophila species. At the same time, the Drosophila genome evolves under different rates of recombination, which results in partial genetic…

Populations and Evolution · Quantitative Biology 2014-09-09 Stephan Schiffels , Michael Lässig , Ville Mustonen

We consider the effects of social learning on the individual learning and genetic evolution of a colony of artificial agents capable of genetic, individual and social modes of adaptation. We confirm that there is strong selection pressure…

Artificial Intelligence · Computer Science 2014-06-12 Chris Marriott , Jobran Chebib
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