AIMC Topic: Mushroom Bodies

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Hybrid neural networks in the mushroom body drive olfactory preference in .

Science advances May 30, 2025
In , olfactory encoding in the mushroom body (MB) involves thousands of Kenyon cells (KCs) processing inputs from hundreds of projection neurons (PNs). Recent data challenge the notion of random PN-to-KC connectivity, revealing preferential connectio...
Neurons Odorants Animals Nerve Net Olfactory Pathways Mushroom Bodies Smell Drosophila melanogaster
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The fruit fly, , as a microrobotics platform.

Proceedings of the National Academy of Sciences of the United States of America Apr 8, 2025
Engineering small autonomous agents capable of operating in the microscale environment remains a key challenge, with current systems still evolving. Our study explores the fruit fly, , a classic model system in biology and a species adept at microsca...
Mushroom Bodies Behavior, Animal Locomotion Robotics Animals Drosophila melanogaster Smell Optogenetics
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Abstract concept learning in a simple neural network inspired by the insect brain.

PLoS computational biology Sep 17, 2018
The capacity to learn abstract concepts such as 'sameness' and 'difference' is considered a higher-order cognitive function, typically thought to be dependent on top-down neocortical processing. It is therefore surprising that honey bees apparantly h...
Cognition Models, Neurological Learning Animals Bees Behavior, Animal Odorants Probability Machine Learning Software Brain Computer Simulation Neural Networks, Computer Mushroom Bodies
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Deep(er) Learning.

The Journal of neuroscience : the official journal of the Society for Neuroscience Jul 13, 2018
Animals successfully thrive in noisy environments with finite resources. The necessity to function with resource constraints has led evolution to design animal brains (and bodies) to be optimal in their use of computational power while being adaptabl...
Neuropil Mushroom Bodies Olfactory Receptor Neurons Association Learning Animals Signal Detection, Psychological Conditioning, Operant Deep Learning Odorants Afferent Pathways Synapses Signal-To-Noise Ratio Conditioning, Classical Olfactory Perception Models, Neurological Environment Nerve Net Drosophila melanogaster Avoidance Learning Reward Reinforcement, Psychology
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A Fly-Inspired Mushroom Bodies Model for Sensory-Motor Control Through Sequence and Subsequence Learning.

International journal of neural systems Apr 28, 2016
Classification and sequence learning are relevant capabilities used by living beings to extract complex information from the environment for behavioral control. The insect world is full of examples where the presentation time of specific stimuli shap...
Drosophila melanogaster Motor Activity Models, Neurological Neurons Decision Making Perception Mushroom Bodies Learning Neural Networks, Computer Computer Simulation Animals Reward Action Potentials Robotics
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