AIMC Topic: Biological Evolution

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Adapting to time: Why nature may have evolved a diverse set of neurons.

PLoS computational biology Dec 13, 2024
Brains have evolved diverse neurons with varying morphologies and dynamics that impact temporal information processing. In contrast, most neural network models use homogeneous units that vary only in spatial parameters (weights and biases). To explor...
Computational Biology Models, Neurological Brain Animals Nerve Net Adaptation, Physiological Biological Evolution Action Potentials Neurons Humans Neural Networks, Computer
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Inferring the locomotor ecology of two of the oldest fossil squirrels: influence of operationalization, trait, body size and machine learning method.

Proceedings. Biological sciences Nov 13, 2024
Correlations between morphology and lifestyle of extant taxa are useful for predicting lifestyles of extinct relatives. Here, we infer the locomotor behaviour of from the middle Oligocene and from the lower Miocene of France using their femoral mor...
Machine Learning Animals Biological Evolution Sciuridae Fossils Femur Body Size France Locomotion
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The changing landscape of text mining: a review of approaches for ecology and evolution.

Proceedings. Biological sciences Jul 31, 2024
In ecology and evolutionary biology, the synthesis and modelling of data from published literature are commonly used to generate insights and test theories across systems. However, the tasks of searching, screening, and extracting data from literatur...
Ecology Biological Evolution Machine Learning Natural Language Processing Data Mining
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Merging sociality and robotics through an evolutionary perspective.

Science robotics Jul 24, 2024
Robotics, using social mechanisms like hormonal modulation, may accelerate our understanding of core sociality principles.
Humans Animals Biological Evolution Robotics Social Behavior
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Biological computation through recurrence.

Biochemical and biophysical research communications Jun 28, 2024
One of the defining features of living systems is their adaptability to changing environmental conditions. This requires organisms to extract temporal and spatial features of their environment, and use that information to compute the appropriate resp...
Biological Evolution Animals Models, Neurological Algorithms Brain Neural Networks, Computer Machine Learning Humans
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DeepDive: estimating global biodiversity patterns through time using deep learning.

Nature communications May 17, 2024
Understanding how biodiversity has changed through time is a central goal of evolutionary biology. However, estimates of past biodiversity are challenged by the inherent incompleteness of the fossil record, even when state-of-the-art statistical meth...
Computer Simulation Animals Fossils Extinction, Biological Biodiversity Biological Evolution Deep Learning Aquatic Organisms
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Comparing cognition across major transitions using the hierarchy of formal automata.

Wiley interdisciplinary reviews. Cognitive science Apr 24, 2024
The evolution of cognition can be understood in terms of a few major transitions-changes in the computational architecture of nervous systems that changed what cognitive capacities could be evolved by downstream lineages. We demonstrate how the idea ...
Cognition Biological Evolution Neural Networks, Computer Animals Humans
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Self-replicating artificial neural networks give rise to universal evolutionary dynamics.

PLoS computational biology Mar 28, 2024
In evolutionary models, mutations are exogenously introduced by the modeler, rather than endogenously introduced by the replicator itself. We present a new deep-learning based computational model, the self-replicating artificial neural network (SeRAN...
Biological Evolution Genotype Evolution, Molecular Mutation Mutation Rate Neural Networks, Computer
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PSE-Net: Channel pruning for Convolutional Neural Networks with parallel-subnets estimator.

Neural networks : the official journal of the International Neural Network Society Mar 20, 2024
Channel Pruning is one of the most widespread techniques used to compress deep neural networks while maintaining their performances. Currently, a typical pruning algorithm leverages neural architecture search to directly find networks with a configur...
Biological Evolution Neural Networks, Computer Algorithms
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Artificial neural networks reconstruct missing perikymata in worn teeth.

Anatomical record (Hoboken, N.J. : 2007) Mar 11, 2024
Dental evolutionary studies in hominins are key to understanding how our ancestors and close fossil relatives grew from the early stages of embryogenesis into adults. In a sense, teeth are like an airplane's 'black box' as they record important varia...
Hominidae Neural Networks, Computer Animals Humans Tooth Biological Evolution Fossils Dental Enamel Tooth Wear
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