Published July 6, 2022 | Version v1
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Adult-born granule cells improve stimulus encoding and discrimination in the dentate gyrus

  • 1. Biomedicine Research Institute of Buenos Aires - CONICET - Partner Institute of the Max Planck Society

Description

Heterogeneity plays an important role in diversifying neural responses to support brain function. Adult neurogenesis provides the dentate gyrus with a heterogeneous population of granule cells (GCs) that were born and developed their properties at different times. Immature GCs have distinct intrinsic and synaptic properties than mature GCs and are needed for correct encoding and discrimination in spatial tasks. How immature GCs enhance the encoding of information to support these functions is not well understood. Here, we record the responses to fluctuating current injections of GCs of different ages to study how they encode stimuli. Immature GCs produce unreliable responses compared to mature GCs, exhibiting imprecise spike timings across repeated stimulation. We use a statistical model to describe the stimulus-response transformation performed by GCs of different ages. We fit this model to the data and obtain parameters that capture GCs encoding properties. Parameter values from this fit reflect the maturational differences of the population and indicate that immature GCs perform a differential encoding of stimuli. To study how this age heterogeneity influences encoding by a population, we perform stimulus decoding using populations that contain GCs of different ages. We find that, despite their individual unreliability, immature GCs enhance the fidelity of the signal encoded by the population and improve the discrimination of similar time dependent stimuli. Thus, the observed heterogeneity confers the population with enhanced encoding capabilities.

Notes

File type and access

Raw data files are in the Axon Binary File format (ABF) which allows the storage of binary experimental data. It is the format type used by the pCLAMP suite of data acquisition and analysis programs, but is also supported by AxoTape and AxoScope software. Any software that opens ABF files can be used to access the data, for example the open source Python package pyABF available at https://swharden.com/pyabf/.

Funding provided by: Agencia Nacional de Promoción Científica y Tecnológica
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100003074
Award Number: PICT 2015 0634

Funding provided by: Agencia Nacional de Promoción Científica y Tecnológica
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100003074
Award Number: PICT 2017 3753

Funding provided by: Agencia Nacional de Promoción Científica y Tecnológica
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100003074
Award Number: PICT 2018 0880

Funding provided by: Agencia Nacional de Promoción Científica y Tecnológica
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100003074
Award Number: PICT 2019 0445

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