A temporal basis for predicting the sensory consequences of motor commands in an electric fish
By A. Kennedy, Greg Wayne, P. Kaifosh, K. Alviña, L. F. Abbott, Nathaniel B. Sawtell. 2014
167 citations recorded by the source corpus.
Mormyrid electric fish are a model system for understanding how neural circuits predict the sensory consequences of motor acts. Medium ganglion cells in the electrosensory lobe create negative images that predict sensory input resulting from the fish's electric organ discharge (EOD). Previous studies have shown that negative images can be created through plasticity at granule cell–medium ganglion cell synapses, provided that granule cell responses to the brief EOD command are sufficiently varied and prolonged. Here we show that granule cells indeed provide such a temporal basis and that it is well-matched to the temporal structure of self-generated sensory inputs, allowing rapid and accurate sensory cancellation and explaining paradoxical features of negative images. We also demonstrate an unexpected and critical role of unipolar brush cells (UBCs) in generating the required delayed responses. These results provide a mechanistic account of how copies of motor commands are transformed into sensory predictions.
Subfields: Electrical and Electronic Engineering, Nature and Landscape Conservation, Neurology
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Citations in the corpus
- Re-evaluating circuit mechanisms underlying pattern separation (2019, neutral): “, 2016) and electrosensory system of weakly electric fish (Sawtell, 2010), which have a ‘cerebellar-like’ circuitry (Oertel and Young, 2004; Bell et al., 2008; Kennedy et al., 2014; Singla et al., 2017).”
- Optimal degrees of synaptic connectivity (2017, unknown): “Anatomical and physiological studies suggest that the handful of inputs received by granule cells in the electrosensory lobe of electric fish (Kennedy et al., 2014) and by Kenyon cells, the granule-cell analogs of the mushroom body, are a random subset of the afferents to these structures (Murthy…”
- The Neural Basis of Timing: Distributed Mechanisms for Diverse Functions (2018, background): “While the mechanisms underlying timing in the cerebellum continue to be debated, it is well established that the cerebellum plays a role in some forms of motor timing (Kalmbach et al., 2010; Johansson et al., 2014; Kennedy et al., 2014).”
- Computational Principles of Supervised Learning in the Cerebellum (2018, unknown): “Such temporal basis sets in the granule cells of cerebellum-like circuits of electric fish have been described (Kennedy et al. 2014); however, technical challenges have impeded empirical studies of temporal patterning in the mammalian cerebellum.”
- Network Structure within the Cerebellar Input Layer Enables Lossless Sparse Encoding (2014, background): “However, the longer temporal delays during signal cancellation are mediated by unipolar brush cells (Kennedy et al., 2014), which form short-range intrinsic MFs that could increase spatial correlations in the vestibular cerebellum where they are more numerous.”
- Morphological Constraints on Cerebellar Granule Cell Combinatorial Diversity (2017, background): “has been observed in brain areas as diverse as electric fish electrosensory lateral line lobe, fruit fly mushroom bodies, mammalian olfactory cortex, and dorsal cochlear nucleus, suggesting a conserved computational function (Sawtell, 2010; Caron et al., 2013; Kennedy et al., 2014).”