2016
DOI: 10.1209/0295-5075/114/30001
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Firing regulation of fast-spiking interneurons by autaptic inhibition

Abstract: Fast-spiking (FS) interneurons in the brain are self-innervated by powerful inhibitory GABAergic autaptic connections. By computational modelling, we investigate how autaptic inhibition regulates the firing response of such interneurons. Our results indicate that autaptic inhibition both boosts the current threshold for action potential generation as well as modulates the input-output gain of FS interneurons. The autaptic transmission delay is identified as a key parameter that controls the firing patterns an… Show more

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Cited by 95 publications
(35 citation statements)
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“…These studies highlight the importance of forward and backward propagation delays in the functional and structural outcome of STDP. In fact, in neuronal networks delays are crucial for the emergence of different types of dynamical regimes and mechanisms41424344, e.g. for delay-induced optimal synchronization45464748495051.…”
mentioning
confidence: 99%
“…These studies highlight the importance of forward and backward propagation delays in the functional and structural outcome of STDP. In fact, in neuronal networks delays are crucial for the emergence of different types of dynamical regimes and mechanisms41424344, e.g. for delay-induced optimal synchronization45464748495051.…”
mentioning
confidence: 99%
“…Therefore, the addition of this feedforward inhibition is very reasonable73747576 and it should be much better computationally justified by building more realistic models. In particular, there is evidence that detailed structural connectivity within the cerebral cortex and connections among different cortex areas and thalamus nuclei may also significantly impact the system dynamics7778798081. It is shown that the degree of abnormal connectivity within the thalamocortical structure is related to disease severity81.…”
Section: Discussionmentioning
confidence: 99%
“…For example, different biophysical basis such as internal and external currents and dynamical behaviors to sustained stimulations of three types of excitability have been identified 6,7 . The transition between types of excitability can be induced by changes of ionic currents 6,[11][12][13] , external synaptic inputs 7 , and autaptic currents 15,16 . There have been many investigations of the physiological significance 6,7,14 and dynamics 11,15,[17][18][19][20] of different excitabilities.…”
Section: Different Dynamical Behaviors Induced By Slow Excitatory Feementioning
confidence: 99%
“…The effect of excitatory autapses on bursting patterns have been reported in biological experiments 40 . In theoretical models [41][42][43][44][45][46][47][48][49][50][51] , the autapse is identified as influencing electronic activities of single neurons such as an excitability switch 15,16 or resonance 52,53 , and spatiotemporal behaviors of neuronal networks such as spiral waves [54][55][56] and synchronization 57,58 . For example, an inhibitory autapse with time delay, which corresponds to a slow autapse, can enhance firing frequency, which is a novel phenomenon different from the common viewpoint that inhibitory effects should induce the reduction of firing frequency 59 .…”
Section: Different Dynamical Behaviors Induced By Slow Excitatory Feementioning
confidence: 99%