Neuronal Response Impedance Mechanism Implementing Cooperative Networks with Low Firing Rates and Microsecond Precision
Realizations of low firing rates in neural networks usually require globally balanced distributions among excitatory and inhibitory links, while feasibility of temporal coding is limited by neuronal millisecond precision. We show that cooperation, governing global network features, emerges through n...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2015-06-01
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| Series: | Frontiers in Neural Circuits |
| Subjects: | |
| Online Access: | http://journal.frontiersin.org/Journal/10.3389/fncir.2015.00029/full |
| _version_ | 1818980906182901760 |
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| author | Roni eVardi Amir eGoldental Hagar eMarmari Haya eBrama Edward A Stern Shira eSardi Pinhas eSabo Ido eKanter |
| author_facet | Roni eVardi Amir eGoldental Hagar eMarmari Haya eBrama Edward A Stern Shira eSardi Pinhas eSabo Ido eKanter |
| author_sort | Roni eVardi |
| collection | DOAJ |
| description | Realizations of low firing rates in neural networks usually require globally balanced distributions among excitatory and inhibitory links, while feasibility of temporal coding is limited by neuronal millisecond precision. We show that cooperation, governing global network features, emerges through nodal properties, as opposed to link distributions. Using in vitro and in vivo experiments we demonstrate microsecond precision of neuronal response timings under low stimulation frequencies, whereas moderate frequencies result in a chaotic neuronal phase characterized by degraded precision. Above a critical stimulation frequency, which varies among neurons, response failures were found to emerge stochastically such that the neuron functions as a low pass filter, saturating the average inter-spike-interval. This intrinsic neuronal response impedance mechanism leads to cooperation on a network level, such that firing rates are suppressed towards the lowest neuronal critical frequency simultaneously with neuronal microsecond precision. Our findings open up opportunities of controlling global features of network dynamics through few nodes with extreme properties. |
| first_indexed | 2024-12-20T17:22:52Z |
| format | Article |
| id | doaj.art-d4c281fb53be4e09a6a0947d3945b3c4 |
| institution | Directory Open Access Journal |
| issn | 1662-5110 |
| language | English |
| last_indexed | 2024-12-20T17:22:52Z |
| publishDate | 2015-06-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Neural Circuits |
| spelling | doaj.art-d4c281fb53be4e09a6a0947d3945b3c42022-12-21T19:31:44ZengFrontiers Media S.A.Frontiers in Neural Circuits1662-51102015-06-01910.3389/fncir.2015.00029138475Neuronal Response Impedance Mechanism Implementing Cooperative Networks with Low Firing Rates and Microsecond PrecisionRoni eVardi0Amir eGoldental1Hagar eMarmari2Haya eBrama3Edward A Stern4Shira eSardi5Pinhas eSabo6Ido eKanter7Bar Ilan UniversityBar Ilan UniversityBar Ilan UniversityBar Ilan UniversityBar Ilan UniversityBar Ilan UniversityBar Ilan UniversityBar Ilan UniversityRealizations of low firing rates in neural networks usually require globally balanced distributions among excitatory and inhibitory links, while feasibility of temporal coding is limited by neuronal millisecond precision. We show that cooperation, governing global network features, emerges through nodal properties, as opposed to link distributions. Using in vitro and in vivo experiments we demonstrate microsecond precision of neuronal response timings under low stimulation frequencies, whereas moderate frequencies result in a chaotic neuronal phase characterized by degraded precision. Above a critical stimulation frequency, which varies among neurons, response failures were found to emerge stochastically such that the neuron functions as a low pass filter, saturating the average inter-spike-interval. This intrinsic neuronal response impedance mechanism leads to cooperation on a network level, such that firing rates are suppressed towards the lowest neuronal critical frequency simultaneously with neuronal microsecond precision. Our findings open up opportunities of controlling global features of network dynamics through few nodes with extreme properties.http://journal.frontiersin.org/Journal/10.3389/fncir.2015.00029/fullneural networkstemporal codeneuronal response latencyRate codelow firing ratesneuronal temporal precision |
| spellingShingle | Roni eVardi Amir eGoldental Hagar eMarmari Haya eBrama Edward A Stern Shira eSardi Pinhas eSabo Ido eKanter Neuronal Response Impedance Mechanism Implementing Cooperative Networks with Low Firing Rates and Microsecond Precision Frontiers in Neural Circuits neural networks temporal code neuronal response latency Rate code low firing rates neuronal temporal precision |
| title | Neuronal Response Impedance Mechanism Implementing Cooperative Networks with Low Firing Rates and Microsecond Precision |
| title_full | Neuronal Response Impedance Mechanism Implementing Cooperative Networks with Low Firing Rates and Microsecond Precision |
| title_fullStr | Neuronal Response Impedance Mechanism Implementing Cooperative Networks with Low Firing Rates and Microsecond Precision |
| title_full_unstemmed | Neuronal Response Impedance Mechanism Implementing Cooperative Networks with Low Firing Rates and Microsecond Precision |
| title_short | Neuronal Response Impedance Mechanism Implementing Cooperative Networks with Low Firing Rates and Microsecond Precision |
| title_sort | neuronal response impedance mechanism implementing cooperative networks with low firing rates and microsecond precision |
| topic | neural networks temporal code neuronal response latency Rate code low firing rates neuronal temporal precision |
| url | http://journal.frontiersin.org/Journal/10.3389/fncir.2015.00029/full |
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