In this section
@article{Kozlov:2016:10.1073/pnas.1506903113,
author = {Kozlov, A and Gentner, T},
doi = {10.1073/pnas.1506903113},
journal = {Proceedings of the National Academy of Sciences of the United States of America},
pages = {1441--1446},
title = {Central auditory neurons have composite receptive fields},
url = {http://dx.doi.org/10.1073/pnas.1506903113},
volume = {113},
year = {2016}
}
TY - JOUR
AB - High-level neurons processing complex, behaviorally relevant signals are sensitive to conjunctions of features. Characterizing the receptive fields of such neurons is difficult with standard statistical tools, however, and the principles governing their organization remain poorly understood. Here, we demonstrate multiple distinct receptive-field features in individual high-level auditory neurons in a songbird, European starling, in response to natural vocal signals (songs). We then show that receptive fields with similar characteristics can be reproduced by an unsupervised neural network trained to represent starling songs with a single learning rule that enforces sparseness and divisive normalization. We conclude that central auditory neurons have composite receptive fields that can arise through a combination of sparseness and normalization in neural circuits. Our results, along with descriptions of random, discontinuous receptive fields in the central olfactory neurons in mammals and insects, suggest general principles of neural computation across sensory systems and animal classes.
AU - Kozlov,A
AU - Gentner,T
DO - 10.1073/pnas.1506903113
EP - 1446
PY - 2016///
SN - 0027-8424
SP - 1441
TI - Central auditory neurons have composite receptive fields
T2 - Proceedings of the National Academy of Sciences of the United States of America
UR - http://dx.doi.org/10.1073/pnas.1506903113
UR - https://www.pnas.org/content/113/5/1441
UR - http://hdl.handle.net/10044/1/28830
VL - 113
ER -