Literature DB >> 1661324

Simulations of cortical pyramidal neurons synchronized by inhibitory interneurons.

W W Lytton1, T J Sejnowski.   

Abstract

1. The interaction between inhibitory interneurons and cortical pyramidal neurons was studied by use of computer simulations to test whether inhibitory interneurons could assist in phase-locking postsynaptic cells. Two models were used: a simplified model, which included only 3 membrane channels, and a detailed 11-channel model. 2. The 11-channel model included most of the ion channels known to be present in neocortical pyramidal neurons as well as calcium diffusion and other membrane mechanisms. The kinetics for the channels were obtained from voltage-clamp studies in a variety of preparations. The parameters were then adjusted to produce repetitive bursting similar to that seen in some cortical pyramidal cells entrained during visual stimulation. 3. Phase-locking to a train of inhibitory postsynaptic potentials (IPSPs) located on or near the soma was observed in the 3-channel model cell subjected to random synaptic bombardment. In the 11-channel model, phase-locking due to multiple IPSPs was compared with phase-locking due to multiple excitatory postsynaptic potentials (EPSPs). Phase-locking began to occur when 20% of the IPSPs (20/100) or 40% of the EPSPs (4,000/10,000) were synchronized. The exact percentages differed with different 11-channel models, but either EPSPs or IPSPs would generally produce entrainment with approximately 40% synchronization. Thus 40 inhibitory boutons had an effect equivalent to 4,000 excitatory boutons in producing phase-locking. 4. Phase-locking with IPSPs in these models was possible because the IPSPs could cause either an increase or a decrease in firing rate over a limited range. The IPSPs served a modulatory role, increasing the rate of firing in some cases and decreasing it in others, depending on the state of the cell. 5. We examined frequency entrainment by IPSPs. In the 3-channel model, frequency entrainment of a postsynaptic cell was observed with a rapid train of strong (20-100 nS), brief, compound IPSPs. A 40-Hz compound IPSP train of 60 nS entrained cells having initial firing rates between 32 and 47 Hz. Below this range, cells could be partially entrained. Above the range, entrainment would fail. Frequency entrainment in the 3-channel model generally occurred on the first cycle after onset of the IPSPs. 6. Phase-locking and frequency entrainment were less robust in the 11-channel model. This was partly because bursts rather than individual spikes were being entrained. A 40-Hz, 90-nS compound IPSP train entrained a model cell upward from 34 Hz. Downward frequency entrainment also occurred.(ABSTRACT TRUNCATED AT 400 WORDS)

Entities:  

Mesh:

Substances:

Year:  1991        PMID: 1661324     DOI: 10.1152/jn.1991.66.3.1059

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  97 in total

1.  Fast network oscillations in the newborn rat hippocampus in vitro.

Authors:  J M Palva; K Lamsa; S E Lauri; H Rauvala; K Kaila; T Taira
Journal:  J Neurosci       Date:  2000-02-01       Impact factor: 6.167

2.  Emergent oscillations in a realistic network: the role of inhibition and the effect of the spatiotemporal distribution of the input.

Authors:  Q Pauluis; S N Baker; E Olivier
Journal:  J Comput Neurosci       Date:  1999-01       Impact factor: 1.621

3.  A neurocomputational theory of the dopaminergic modulation of working memory functions.

Authors:  D Durstewitz; M Kelc; O Güntürkün
Journal:  J Neurosci       Date:  1999-04-01       Impact factor: 6.167

4.  Modulation of network behaviour by changes in variance in interneuronal properties.

Authors:  I Aradi; I Soltesz
Journal:  J Physiol       Date:  2002-01-01       Impact factor: 5.182

5.  Gap junctions between interneuron dendrites can enhance synchrony of gamma oscillations in distributed networks.

Authors:  R D Traub; N Kopell; A Bibbig; E H Buhl; F E LeBeau; M A Whittington
Journal:  J Neurosci       Date:  2001-12-01       Impact factor: 6.167

6.  Beta and gamma frequency synchronization by dendritic gabaergic synapses and gap junctions in a network of cortical interneurons.

Authors:  J Szabadics; A Lorincz; G Tamás
Journal:  J Neurosci       Date:  2001-08-01       Impact factor: 6.167

7.  Enhancement of signal-to-noise ratio and phase locking for small inputs by a low-threshold outward current in auditory neurons.

Authors:  Gytis Svirskis; Vibhakar Kotak; Dan H Sanes; John Rinzel
Journal:  J Neurosci       Date:  2002-12-15       Impact factor: 6.167

8.  Rhythm generation in monkey motor cortex explored using pyramidal tract stimulation.

Authors:  A Jackson; R L Spinks; T C B Freeman; D M Wolpert; R N Lemon
Journal:  J Physiol       Date:  2002-06-15       Impact factor: 5.182

9.  A dynamical model of fast cortical reorganization.

Authors:  Marcelo Mazza; Marilene de Pinho; José Roberto C Piqueira; Antônio C Roque
Journal:  J Comput Neurosci       Date:  2004 Mar-Apr       Impact factor: 1.621

10.  Clustering in small networks of excitatory neurons with heterogeneous coupling strengths.

Authors:  Yue-Xian Li; Yu-Qing Wang; Robert Miura
Journal:  J Comput Neurosci       Date:  2003 Mar-Apr       Impact factor: 1.621

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.