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Mimicking Collective Firing Patterns of Hundreds of Connected Neurons using a Single-Neuron Experiment
The experimental study of neural networks requires simultaneous measurements of a massive number of neurons, while monitoring properties of the connectivity, synaptic strengths and delays. Current technological barriers make such a mission unachievable. In addition, as a result of the enormous numbe...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4718983/ https://www.ncbi.nlm.nih.gov/pubmed/26834538 http://dx.doi.org/10.3389/fnins.2015.00508 |
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author | Goldental, Amir Sabo, Pinhas Sardi, Shira Vardi, Roni Kanter, Ido |
author_facet | Goldental, Amir Sabo, Pinhas Sardi, Shira Vardi, Roni Kanter, Ido |
author_sort | Goldental, Amir |
collection | PubMed |
description | The experimental study of neural networks requires simultaneous measurements of a massive number of neurons, while monitoring properties of the connectivity, synaptic strengths and delays. Current technological barriers make such a mission unachievable. In addition, as a result of the enormous number of required measurements, the estimated network parameters would differ from the original ones. Here we present a versatile experimental technique, which enables the study of recurrent neural networks activity while being capable of dictating the network connectivity and synaptic strengths. This method is based on the observation that the response of neurons depends solely on their recent stimulations, a short-term memory. It allows a long-term scheme of stimulation and recording of a single neuron, to mimic simultaneous activity measurements of neurons in a recurrent network. Utilization of this technique demonstrates the spontaneous emergence of cooperative synchronous oscillations, in particular the coexistence of fast γ and slow δ oscillations, and opens the horizon for the experimental study of other cooperative phenomena within large-scale neural networks. |
format | Online Article Text |
id | pubmed-4718983 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-47189832016-01-29 Mimicking Collective Firing Patterns of Hundreds of Connected Neurons using a Single-Neuron Experiment Goldental, Amir Sabo, Pinhas Sardi, Shira Vardi, Roni Kanter, Ido Front Neurosci Neuroscience The experimental study of neural networks requires simultaneous measurements of a massive number of neurons, while monitoring properties of the connectivity, synaptic strengths and delays. Current technological barriers make such a mission unachievable. In addition, as a result of the enormous number of required measurements, the estimated network parameters would differ from the original ones. Here we present a versatile experimental technique, which enables the study of recurrent neural networks activity while being capable of dictating the network connectivity and synaptic strengths. This method is based on the observation that the response of neurons depends solely on their recent stimulations, a short-term memory. It allows a long-term scheme of stimulation and recording of a single neuron, to mimic simultaneous activity measurements of neurons in a recurrent network. Utilization of this technique demonstrates the spontaneous emergence of cooperative synchronous oscillations, in particular the coexistence of fast γ and slow δ oscillations, and opens the horizon for the experimental study of other cooperative phenomena within large-scale neural networks. Frontiers Media S.A. 2016-01-20 /pmc/articles/PMC4718983/ /pubmed/26834538 http://dx.doi.org/10.3389/fnins.2015.00508 Text en Copyright © 2016 Goldental, Sabo, Sardi, Vardi and Kanter. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Goldental, Amir Sabo, Pinhas Sardi, Shira Vardi, Roni Kanter, Ido Mimicking Collective Firing Patterns of Hundreds of Connected Neurons using a Single-Neuron Experiment |
title | Mimicking Collective Firing Patterns of Hundreds of Connected Neurons using a Single-Neuron Experiment |
title_full | Mimicking Collective Firing Patterns of Hundreds of Connected Neurons using a Single-Neuron Experiment |
title_fullStr | Mimicking Collective Firing Patterns of Hundreds of Connected Neurons using a Single-Neuron Experiment |
title_full_unstemmed | Mimicking Collective Firing Patterns of Hundreds of Connected Neurons using a Single-Neuron Experiment |
title_short | Mimicking Collective Firing Patterns of Hundreds of Connected Neurons using a Single-Neuron Experiment |
title_sort | mimicking collective firing patterns of hundreds of connected neurons using a single-neuron experiment |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4718983/ https://www.ncbi.nlm.nih.gov/pubmed/26834538 http://dx.doi.org/10.3389/fnins.2015.00508 |
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