Generalization of learned responses in the mormyrid electrosensory lobe
Abstract
Appropriate generalization of learned responses to new situations is vital for adaptive behavior. We provide a circuit-level account of generalization in the electrosensory lobe (ELL) of weakly electric mormyrid fish. Much is already known in this system about a form of learning in which motor corollary discharge signals cancel responses to the uninformative input evoked by the fish's own electric pulses. However, for this cancellation to be useful under natural circumstances, it must generalize accurately across behavioral regimes, specifically different electric pulse rates. We show that such generalization indeed occurs in ELL neurons, and develop a circuit-level model explaining how this may be achieved. The mechanism involves regularized synaptic plasticity and an approximate matching of the temporal dynamics of motor corollary discharge and electrosensory inputs. Recordings of motor corollary discharge signals in mossy fibers and granule cells provide direct evidence for such matching.
Data availability
Data and model code are available via Zenodo (doi: 10.5281/zenodo.2590782).
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Data and model associated withZenodo, doi:10.5281/zenodo.2590782.
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Author details
Funding
National Science Foundation (1025849)
- Larry F Abbott
- Nathaniel Sawtell
National Institute of Neurological Disorders and Stroke (NS075023)
- Nathaniel Sawtell
Irma T. Hirschl Trust
- Nathaniel Sawtell
Simons Foundation
- Larry F Abbott
Gatsby Charitable Foundation
- Larry F Abbott
National Science Foundation (1707398)
- Larry F Abbott
The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
Ethics
Animal experimentation: All experiments performed in this study adhere to the American Physiological Society's Guiding Principles in the Care and Use of Animals and were approved by the Columbia University Institutional Animal Care and Use Committee, protocol AAAW4462.
Copyright
© 2019, Dempsey et al.
This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.
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Further reading
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- Neuroscience
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