AIMC Topic: Adaptation, Physiological

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Experimental support for genomic prediction of climate maladaptation using the machine learning approach Gradient Forests.

Molecular ecology resources Mar 22, 2021
Gradient Forests (GF) is a machine learning algorithm that is gaining in popularity for studying the environmental drivers of genomic variation and for incorporating genomic information into climate change impact assessments. Here we (i) provide the ...
Humans Machine Learning Climate Change Genome Adaptation, Physiological Genomics Polymorphism, Single Nucleotide
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Computational reproductions of external force field adaption without assuming desired trajectories.

Neural networks : the official journal of the International Neural Network Society Feb 21, 2021
Optimal feedback control is an established framework that is used to characterize human movement. However, it is not fully understood how the brain computes optimal gains through interactions with the environment. In the past study, we proposed a mod...
Adaptation, Physiological Arm Movement Humans Neural Networks, Computer Biomechanical Phenomena Models, Neurological Feedback
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Development of swarm behavior in artificial learning agents that adapt to different foraging environments.

PloS one Dec 18, 2020
Collective behavior, and swarm formation in particular, has been studied from several perspectives within a large variety of fields, ranging from biology to physics. In this work, we apply Projective Simulation to model each individual as an artifici...
Feeding Behavior Adaptation, Physiological Appetitive Behavior Social Behavior Animals Models, Biological Reward Artificial Intelligence Computer Simulation
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Transforming task representations to perform novel tasks.

Proceedings of the National Academy of Sciences of the United States of America Dec 10, 2020
An important aspect of intelligence is the ability to adapt to a novel task without any direct experience (zero shot), based on its relationship to previous tasks. Humans can exhibit this cognitive flexibility. By contrast, models that achieve superh...
Humans Artificial Intelligence Language Models, Neurological Visual Perception Adaptation, Physiological Learning Cognition
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Conductance-Based Adaptive Exponential Integrate-and-Fire Model.

Neural computation Nov 30, 2020
The intrinsic electrophysiological properties of single neurons can be described by a broad spectrum of models, from realistic Hodgkin-Huxley-type models with numerous detailed mechanisms to the phenomenological models. The adaptive exponential integ...
Adaptation, Physiological Humans Neural Networks, Computer Models, Neurological Action Potentials Animals
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Combined virtual reality and haptic robotics induce space and movement invariant sensorimotor adaptation.

Neuropsychologia Nov 21, 2020
Prism adaptation is a method for studying visuomotor plasticity in healthy individuals, as well as for rehabilitating patients suffering spatial neglect. We developed a new set-up based on virtual-reality (VR) and haptic-robotics allowing us to induc...
Virtual Reality Robotics Movement Humans Adaptation, Physiological Perceptual Disorders
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General Distributed Neural Control and Sensory Adaptation for Self-Organized Locomotion and Fast Adaptation to Damage of Walking Robots.

Frontiers in neural circuits Aug 17, 2020
Walking animals such as invertebrates can effectively perform self-organized and robust locomotion. They can also quickly adapt their gait to deal with injury or damage. Such a complex achievement is mainly performed via coordination between the legs...
Robotics Walking Locomotion Computer Simulation Neuronal Plasticity Adaptation, Physiological Central Pattern Generators Neural Networks, Computer
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Genes, the brain, and artificial intelligence in evolution.

Journal of human genetics Jul 27, 2020
Three important systems, genes, the brain, and artificial intelligence (especially deep learning) have similar goals, namely, the maximization of likelihood or minimization of cross-entropy. Animal brains have evolved through predator-prey interactio...
Animals Evolution, Molecular Entropy Adaptation, Physiological Energy Metabolism Humans Artificial Intelligence Brain Genes Mitochondrial Diseases
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Identification of competing neural mechanisms underlying positive and negative perceptual hysteresis in the human visual system.

NeuroImage Jul 11, 2020
Hysteresis is a well-known phenomenon in physics that relates changes in a system with its prior history. It is also part of human visual experience (perceptual hysteresis), and two different neural mechanisms might explain it: persistence (a cause o...
Visual Perception Adaptation, Physiological Motion Perception Cerebral Cortex Nerve Net Young Adult Adult Functional Neuroimaging Magnetic Resonance Imaging Male Humans Machine Learning Female
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Appearance variation adaptation tracker using adversarial network.

Neural networks : the official journal of the International Neural Network Society Jun 17, 2020
Visual trackers using deep neural networks have demonstrated favorable performance in object tracking. However, training a deep classification network using overlapped initial target regions may lead an overfitted model. To increase the model general...
Photic Stimulation Adaptation, Physiological Humans Neural Networks, Computer Pattern Recognition, Automated
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