@article {65386,
	title = {The  Mushroom Body: From Architecture to Algorithm in a Learning Circuit.},
	journal = {Annual Review of Neuroscience},
	year = {2020},
	month = {2020 Apr 13},
	abstract = {<p>The brain contains a relatively simple circuit for forming Pavlovian associations, yet it achieves many operations common across memory systems. Recent advances have established a clear framework for learning and revealed the following key operations: ) pattern separation, whereby dense combinatorial representations of odors are preprocessed to generate highly specific, nonoverlapping odor patterns used for learning; ) convergence, in which sensory information is funneled to a small set of output neurons that guide behavioral actions; ) plasticity, where changing the mapping of sensory input to behavioral output requires a strong reinforcement signal, which is also modulated by internal state and environmental context; and ) modularization, in which a memory consists of multiple parallel traces, which are distinct in stability and flexibility and exist in anatomically well-defined modules within the network. Cross-module interactions allow for higher-order effects where past experience influences future learning. Many of these operations have parallels with processes of memory formation and action selection in more complex brains. Expected final online publication date for the , Volume 43 is July 8, 2020. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.</p>
},
	issn = {1545-4126},
	doi = {10.1146/annurev-neuro-080317-0621333},
	author = {Modi, Mehrab N and Shuai, Yichun and Turner, Glenn C}
}
