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Local Design Principles at Hippocampal Synapses Revealed by an Energy-Information Trade-Off

Synapses across different brain regions display distinct structure-function relationships. We investigated the interplay of fundamental design constraints that shape the transmission properties of the excitatory CA3-CA1 pyramidal cell connection, a prototypic synapse for studying the mechanisms of l...

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Autores principales: Mahajan, Gaurang, Nadkarni, Suhita
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Society for Neuroscience 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7540928/
https://www.ncbi.nlm.nih.gov/pubmed/32847867
http://dx.doi.org/10.1523/ENEURO.0521-19.2020
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author Mahajan, Gaurang
Nadkarni, Suhita
author_facet Mahajan, Gaurang
Nadkarni, Suhita
author_sort Mahajan, Gaurang
collection PubMed
description Synapses across different brain regions display distinct structure-function relationships. We investigated the interplay of fundamental design constraints that shape the transmission properties of the excitatory CA3-CA1 pyramidal cell connection, a prototypic synapse for studying the mechanisms of learning in the mammalian hippocampus. This small synapse is characterized by probabilistic release of transmitter, which is markedly facilitated in response to naturally occurring trains of action potentials. Based on a physiologically motivated computational model of the rat CA3 presynaptic terminal, we show how unreliability and short-term dynamics of vesicular release work together to regulate the trade-off of information transfer versus energy use. We propose that individual CA3-CA1 synapses are designed to operate near the maximum possible capacity of information transmission in an efficient manner. Experimental measurements reveal a wide range of vesicular release probabilities at hippocampal synapses, which may be a necessary consequence of long-term plasticity and homeostatic mechanisms that manifest as presynaptic modifications of the release probability. We show that the timescales and magnitude of short-term plasticity (STP) render synaptic information transfer nearly independent of differences in release probability. Thus, individual synapses transmit optimally while maintaining a heterogeneous distribution of presynaptic strengths indicative of synaptically-encoded memory representations. Our results support the view that organizing principles that are evident on higher scales of neural organization percolate down to the design of an individual synapse.
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spelling pubmed-75409282020-10-08 Local Design Principles at Hippocampal Synapses Revealed by an Energy-Information Trade-Off Mahajan, Gaurang Nadkarni, Suhita eNeuro Research Article: New Research Synapses across different brain regions display distinct structure-function relationships. We investigated the interplay of fundamental design constraints that shape the transmission properties of the excitatory CA3-CA1 pyramidal cell connection, a prototypic synapse for studying the mechanisms of learning in the mammalian hippocampus. This small synapse is characterized by probabilistic release of transmitter, which is markedly facilitated in response to naturally occurring trains of action potentials. Based on a physiologically motivated computational model of the rat CA3 presynaptic terminal, we show how unreliability and short-term dynamics of vesicular release work together to regulate the trade-off of information transfer versus energy use. We propose that individual CA3-CA1 synapses are designed to operate near the maximum possible capacity of information transmission in an efficient manner. Experimental measurements reveal a wide range of vesicular release probabilities at hippocampal synapses, which may be a necessary consequence of long-term plasticity and homeostatic mechanisms that manifest as presynaptic modifications of the release probability. We show that the timescales and magnitude of short-term plasticity (STP) render synaptic information transfer nearly independent of differences in release probability. Thus, individual synapses transmit optimally while maintaining a heterogeneous distribution of presynaptic strengths indicative of synaptically-encoded memory representations. Our results support the view that organizing principles that are evident on higher scales of neural organization percolate down to the design of an individual synapse. Society for Neuroscience 2020-09-08 /pmc/articles/PMC7540928/ /pubmed/32847867 http://dx.doi.org/10.1523/ENEURO.0521-19.2020 Text en Copyright © 2020 Mahajan and Nadkarni http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed.
spellingShingle Research Article: New Research
Mahajan, Gaurang
Nadkarni, Suhita
Local Design Principles at Hippocampal Synapses Revealed by an Energy-Information Trade-Off
title Local Design Principles at Hippocampal Synapses Revealed by an Energy-Information Trade-Off
title_full Local Design Principles at Hippocampal Synapses Revealed by an Energy-Information Trade-Off
title_fullStr Local Design Principles at Hippocampal Synapses Revealed by an Energy-Information Trade-Off
title_full_unstemmed Local Design Principles at Hippocampal Synapses Revealed by an Energy-Information Trade-Off
title_short Local Design Principles at Hippocampal Synapses Revealed by an Energy-Information Trade-Off
title_sort local design principles at hippocampal synapses revealed by an energy-information trade-off
topic Research Article: New Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7540928/
https://www.ncbi.nlm.nih.gov/pubmed/32847867
http://dx.doi.org/10.1523/ENEURO.0521-19.2020
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