Dataset Information

Continual Learning in a Multi-Layer Network of an Electric Fish.

ABSTRACT: Distributing learning across multiple layers has proven extremely powerful in artificial neural networks. However, little is known about how multi-layer learning is implemented in the brain. Here, we provide an account of learning across multiple processing layers in the electrosensory lobe (ELL) of mormyrid fish and report how it solves problems well known from machine learning. Because the ELL operates and learns continuously, it must reconcile learning and signaling functions without switching its mode of operation. We show that this is accomplished through a functional compartmentalization within intermediate layer neurons in which inputs driving learning differentially affect dendritic and axonal spikes. We also find that connectivity based on learning rather than sensory response selectivity assures that plasticity at synapses onto intermediate-layer neurons is matched to the requirements of output neurons. The mechanisms we uncover have relevance to learning in the cerebellum, hippocampus, and cerebral cortex, as well as in artificial systems.

SUBMITTER: Muller SZ

PROVIDER: S-EPMC6986370 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature

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Continual Learning in a Multi-Layer Network of an Electric Fish.

Muller Salomon Z SZ Zadina Abigail N AN Abbott L F LF Sawtell Nathaniel B NB

Cell 20191114 6

Distributing learning across multiple layers has proven extremely powerful in artificial neural networks. However, little is known about how multi-layer learning is implemented in the brain. Here, we provide an account of learning across multiple processing layers in the electrosensory lobe (ELL) of mormyrid fish and report how it solves problems well known from machine learning. Because the ELL operates and learns continuously, it must reconcile learning and signaling functions without switchin ...[more]

PMID: 31735497

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Project description:Electric fishes have independently evolved six times. Most of these fish are weakly electric and they use their discharge mainly for orientation and communication. In the African weakly electric fish genus Campylomormyrus, electric organ discharge (EOD) signals are strikingly different in shape and duration among closely related species, they contribute to pre-zygotic isolation and may have triggered an adaptive radiation. We performed mRNA sequencing on electric organs (EOs) and skeletal muscle (SMs; from which the EOs derive) from three species with short (0.4 ms), medium (5 ms), and long (40 ms) EODs and two different cross-species hybrids. Using pairwise comparison of differential gene expression between EOs and SMs, we identified 1,444 up regulated genes in EO shared by all five species/hybrids cohorts, rendering them candidate genes for EO-specific properties in Campylomormyrus. To understand how gene expression contributes to the variation in EOD duration, we made cross species comparisons among species and tissue. We identified three types of EOD-duration-related expression patterns and several candidate genes, including KCNJ2, KLF5 and SLC24a2, their upregulation may contribute to increased EOD duration, along with a down-regulated gene KCNK6. Hybrids between a short (C. compressirostris) and a long (C. rhynchophorus) discharging species exhibit EODs of intermediate duration and showed imbalanced expression of KCNJ2 alleles. The preferential expression of the C. rhynchophorus allele is in line with a higher expression level in that parental species and points towards a cis-regulatory difference at this locus, relative to EOD duration. A further candidate gene, KLF5, is a transcription factor potentially balancing potassium channel gene expression, a crucial process for the formation of an EOD. Unraveling the genetic basis of the species-specific modulation of the EOD in Campylomormyrus is crucial for understanding the adaptive radiation of this emerging model taxon of ecological (perhaps even sympatric) speciation.

Dataset Information

Continual Learning in a Multi-Layer Network of an Electric Fish.

Publications

Continual Learning in a Multi-Layer Network of an Electric Fish.

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