The effect of inhibition on rate code efficiency indicators.
In this paper we investigate the rate coding capabilities of neurons whose input signal are alterations of the base state of balanced inhibitory and excitatory synaptic currents. We consider different regimes of excitation-inhibition relationship and an established conductance-based leaky integrator...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2019-12-01
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| Series: | PLoS Computational Biology |
| Online Access: | https://doi.org/10.1371/journal.pcbi.1007545 |
| _version_ | 1819134551622942720 |
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| author | Tomas Barta Lubomir Kostal |
| author_facet | Tomas Barta Lubomir Kostal |
| author_sort | Tomas Barta |
| collection | DOAJ |
| description | In this paper we investigate the rate coding capabilities of neurons whose input signal are alterations of the base state of balanced inhibitory and excitatory synaptic currents. We consider different regimes of excitation-inhibition relationship and an established conductance-based leaky integrator model with adaptive threshold and parameter sets recreating biologically relevant spiking regimes. We find that given mean post-synaptic firing rate, counter-intuitively, increased ratio of inhibition to excitation generally leads to higher signal to noise ratio (SNR). On the other hand, the inhibitory input significantly reduces the dynamic coding range of the neuron. We quantify the joint effect of SNR and dynamic coding range by computing the metabolic efficiency-the maximal amount of information per one ATP molecule expended (in bits/ATP). Moreover, by calculating the metabolic efficiency we are able to predict the shapes of the post-synaptic firing rate histograms that may be tested on experimental data. Likewise, optimal stimulus input distributions are predicted, however, we show that the optimum can essentially be reached with a broad range of input distributions. Finally, we examine which parameters of the used neuronal model are the most important for the metabolically efficient information transfer. |
| first_indexed | 2024-12-22T10:04:59Z |
| format | Article |
| id | doaj.art-47c884842c1945f4a2720fc74b651a1c |
| institution | Directory Open Access Journal |
| issn | 1553-734X 1553-7358 |
| language | English |
| last_indexed | 2024-12-22T10:04:59Z |
| publishDate | 2019-12-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS Computational Biology |
| spelling | doaj.art-47c884842c1945f4a2720fc74b651a1c2022-12-21T18:29:59ZengPublic Library of Science (PLoS)PLoS Computational Biology1553-734X1553-73582019-12-011512e100754510.1371/journal.pcbi.1007545The effect of inhibition on rate code efficiency indicators.Tomas BartaLubomir KostalIn this paper we investigate the rate coding capabilities of neurons whose input signal are alterations of the base state of balanced inhibitory and excitatory synaptic currents. We consider different regimes of excitation-inhibition relationship and an established conductance-based leaky integrator model with adaptive threshold and parameter sets recreating biologically relevant spiking regimes. We find that given mean post-synaptic firing rate, counter-intuitively, increased ratio of inhibition to excitation generally leads to higher signal to noise ratio (SNR). On the other hand, the inhibitory input significantly reduces the dynamic coding range of the neuron. We quantify the joint effect of SNR and dynamic coding range by computing the metabolic efficiency-the maximal amount of information per one ATP molecule expended (in bits/ATP). Moreover, by calculating the metabolic efficiency we are able to predict the shapes of the post-synaptic firing rate histograms that may be tested on experimental data. Likewise, optimal stimulus input distributions are predicted, however, we show that the optimum can essentially be reached with a broad range of input distributions. Finally, we examine which parameters of the used neuronal model are the most important for the metabolically efficient information transfer.https://doi.org/10.1371/journal.pcbi.1007545 |
| spellingShingle | Tomas Barta Lubomir Kostal The effect of inhibition on rate code efficiency indicators. PLoS Computational Biology |
| title | The effect of inhibition on rate code efficiency indicators. |
| title_full | The effect of inhibition on rate code efficiency indicators. |
| title_fullStr | The effect of inhibition on rate code efficiency indicators. |
| title_full_unstemmed | The effect of inhibition on rate code efficiency indicators. |
| title_short | The effect of inhibition on rate code efficiency indicators. |
| title_sort | effect of inhibition on rate code efficiency indicators |
| url | https://doi.org/10.1371/journal.pcbi.1007545 |
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