A network model of the barrel cortex combined with a differentiator detector reproduces features of the behavioral response to single-neuron stimulation
A network model of the barrel cortex combined with a differentiator detector reproduces features of the behavioral response to single-neuron stimulation
复制标题
桶状皮层的网络模型与微分器检测器相结合，再现了对单神经元刺激的行为反应特征
DOI：
10.1101/2020.03.30.016261
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发表时间：
2020
影响因子：
4.3
通讯作者：
B. Lindner
中科院分区：
文献类型：
--
作者：
Davide Bernardi;Guy Doron;M. Brecht;B. Lindner
The stimulation of a single neuron in the rat somatosensory cortex can elicit a behavioral response. The probability of a behavioral response does not depend appreciably on the duration or intensity of a constant stimulation, whereas the response probability increases significantly upon injection of an irregular current. Biological mechanisms that can potentially suppress a constant input signal are present in the dynamics of both neurons and synapses and seem ideal candidates to explain these experimental findings. Here, we study a large network of integrate-and-fire neurons with several salient features of neuronal populations in the rat barrel cortex. The model includes cellular spike-frequency adaptation, experimentally constrained numbers and types of chemical synapses endowed with short-term plasticity, and gap junctions. Numerical simulations of this model indicate that cellular and synaptic adaptation mechanisms alone may not be sufficient to account for the experimental results if the local network activity is read out by an integrator. However, a differentiator circuit can detect the single-cell stimulation with a reliability that barely depends on the length or intensity of the stimulus, but that increases when an irregular signal is used. This finding is in accordance with the experimental results obtained for the stimulation of a regularly-spiking excitatory cell. Author summary It is widely assumed that only a large group of neurons can encode a stimulus or control behavior. This tenet of neuroscience has been challenged by experiments in which stimulating a single cortical neuron has had a measurable effect on an animal’s behavior. Recently, theoretical studies have explored how a single-neuron stimulation could be detected in a large recurrent network. However, these studies missed essential biological mechanisms of cortical networks and are unable to explain more recent experiments in the barrel cortex. Here, to describe the stimulated brain area, we propose and study a network model endowed with many important biological features of the barrel cortex. Importantly, we also investigate different readout mechanisms, i.e. ways in which the stimulation effects can propagate to other brain areas. We show that a readout network which tracks rapid variations in the local network activity is in agreement with the experiments. Our model demonstrates a possible mechanism for how the stimulation of a single neuron translates into a signal at the population level, which is taken as a proxy of the animal’s response. Our results illustrate the power of spiking neural networks to properly describe the effects of a single neuron’s activity.
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影响因子：
2.5
作者：
Khatri, Vivek;Bruno, Randy M.;Simons, Daniel J.
通讯作者：
Simons, Daniel J.
DOI：
10.1093/cercor/bht263
发表时间：
2015-03
期刊：
Cerebral cortex (New York, N.Y. : 1991)
影响因子：
--
作者：
Koelbl C;Helmstaedter M;Lübke J;Feldmeyer D
通讯作者：
Feldmeyer D
影响因子：
2.5
作者：
Pinto, DJ;Brumberg, JC;Simons, DJ
通讯作者：
Simons, DJ
大鼠胡须到桶系统中的丘脑皮质传导时间和刺激诱发的反应。
影响因子：
2.5
作者：
Simons,DanielJ;Carvell,GeorgeE;Kyriazi,HaroldT;Bruno,RandyM
通讯作者：
Bruno,RandyM
晶须/桶系统中的关闭响应变换。
影响因子：
2.5
作者：
Kyriazi,HT;Carvell,GE;Simons,DJ
通讯作者：
Simons,DJ