Do the right thing: neural network mechanisms of memory formation, expression and update in Drosophila

By P. Cognigni, Johannes Felsenberg, S. Waddell. 2018

243 citations recorded by the source corpus.

Highlights • Recurrent connectivity is anatomically and functionally prevalent in fly memory circuits.• Sustained reverberant activity is necessary for memory consolidation.• Feedforward inhibitory neurons impose state control on memory retrieval and behavior.• Recurrent circuits enable re-evaluation and updating of memory.

Subfields: Cellular and Molecular Neuroscience, Ecology, Evolution, Behavior and Systematics, Genetics

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cellular and Molecular Neuroscience

1. Qian Li
2. Yi Zhong
3. Liyuan Wang
4. Yichun Shuai
5. Glenn C. Turner
6. M. Modi
7. Jun Zhu
8. Xingxing Zhang

In Ecology, Evolution, Behavior and Systematics

1. Qian Li
2. Yi Zhong
3. Gerald M. Rubin
4. Glenn C. Turner
5. M. Modi
6. Yichun Shuai
7. V. Ruta
8. Raphael Cohn

In Genetics

1. M. Modi
2. Yichun Shuai
3. Glenn C. Turner
4. Gerald M. Rubin
5. Liyuan Wang
6. Jun Zhu
7. V. Jayaraman
8. Yi Zhong

Citations in the corpus

• Incorporating neuro-inspired adaptability for continual learning in artificial intelligence (2023, positive): “The outputs of these compartments are carried by distinct MB output neurons and integrated in a weighted-sum fashion to guide adaptive behaviours 22,34,35 .”
• The Drosophila Mushroom Body: From Architecture to Algorithm in a Learning Circuit. (2020, background): “Activity switched between these two patterns every few seconds, each time the fly flipped between flailing its legs and being still (Cohn et al. 2015).”
• A genetically-encoded fluorescent sensor enables rapid and specific detection of dopamine in flies, fish, and mice (2018, result): “Thus, GRABDA sensors create new opportunities for exploring how specific compartments in the MB of the fly may exhibit distinct DA dynamics, which has been suggested by previous reports (Aso et al., 2014; Cognigni et al., 2018; Cohn et al., 2015; Mao and Davis, 2009).”
• A connectome of the Drosophila central complex reveals network motifs suitable for flexible navigation and context-dependent action selection (2020, background): “The MB is thought to be a center for associative learning (Cognigni et al., 2018; Modi et al., 2020).”