Interplay between population firing stability and single neuron dynamics in hippocampal networks

被引:74
|
作者
Slomowitz, Edden [1 ]
Styr, Boaz [1 ]
Vertkin, Irena [1 ]
Milshtein-Parush, Hila [1 ,2 ]
Nelken, Israel [3 ,4 ]
Slutsky, Michael [5 ]
Slutsky, Inna [1 ,2 ]
机构
[1] Tel Aviv Univ, Sackler Fac Med, Dept Physiol & Pharmacol, IL-69978 Tel Aviv, Israel
[2] Tel Aviv Univ, Sagol Sch Neurosci, IL-69978 Tel Aviv, Israel
[3] Hebrew Univ Jerusalem, Dept Neurobiol, Alexander Silberman Inst Life Sci, IL-91904 Jerusalem, Israel
[4] Hebrew Univ Jerusalem, Edmond & Lily Safra Ctr Brain Sci, IL-91904 Jerusalem, Israel
[5] Mantis Vis, IL-49511 Petah Tiqwa, Israel
来源
ELIFE | 2015年 / 4卷
基金
欧洲研究理事会;
关键词
MEDIATED PRESYNAPTIC INHIBITION; RELEASE PROBABILITY; VISUAL-CORTEX; HOMEOSTATIC PLASTICITY; SYNAPTIC-TRANSMISSION; SYNAPSES; SLEEP; DEPRESSION; INACTIVITY; METAPLASTICITY;
D O I
10.7554/eLife.04378
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Neuronal circuits' ability to maintain the delicate balance between stability and flexibility in changing environments is critical for normal neuronal functioning. However, to what extent individual neurons and neuronal populations maintain internal firing properties remains largely unknown. Here, we show that distributions of spontaneous population firing rates and synchrony are subject to accurate homeostatic control following increase of synaptic inhibition in cultured hippocampal networks. Reduction in firing rate triggered synaptic and intrinsic adaptive responses operating as global homeostatic mechanisms to maintain firing macro-stability, without achieving local homeostasis at the single-neuron level. Adaptive mechanisms, while stabilizing population firing properties, reduced short-term facilitation essential for synaptic discrimination of input patterns. Thus, invariant ongoing population dynamics emerge from intrinsically unstable activity patterns of individual neurons and synapses. The observed differences in the precision of homeostatic control at different spatial scales challenge cell-autonomous theory of network homeostasis and suggest existence of network-wide regulation rules.
引用
收藏
页数:49
相关论文
共 50 条
  • [1] Population dynamics and theta rhythm phase precession of hippocampal place cell firing: A spiking neuron model
    Tsodyks, MV
    Skaggs, WE
    Sejnowski, TJ
    McNaughton, BL
    [J]. HIPPOCAMPUS, 1996, 6 (03) : 271 - 280
  • [2] Effects of single neuron firing patterns on network dynamics
    Ajith Padmanabhan
    Ioannis Vlachos
    Ad Aertsen
    Arvind Kumar
    [J]. BMC Neuroscience, 14 (Suppl 1)
  • [3] RELATIONSHIP BETWEEN FIRING RATE OF A SINGLE NEURON AND LEVEL OF ACTIVITY IN A POPULATION OF NEURONS - EXPERIMENTAL EVIDENCE FOR RESONANT ENHANCEMENT IN POPULATION RESPONSE
    KNIGHT, BW
    [J]. JOURNAL OF GENERAL PHYSIOLOGY, 1972, 59 (06): : 767 - &
  • [4] Neuron configuration enhances the synchronization dynamics in ring networks with heterogeneous firing patterns
    Farrera-Megchun, Agustin
    Padilla-Longoria, Pablo
    Santos, Gerardo J. Escalera
    Espinal-Enriquez, Jesus
    Bernal-Jaquez, Roberto
    [J]. CHAOS SOLITONS & FRACTALS, 2024, 187
  • [5] Single Neuron Firing Properties Impact Correlation-Based Population Coding
    Hong, Sungho
    Ratte, Stephanie
    Prescott, Steven A.
    De Schutter, Erik
    [J]. JOURNAL OF NEUROSCIENCE, 2012, 32 (04): : 1413 - 1428
  • [6] Rosetta stone for the population dynamics of spiking neuron networks
    Vinci, Gianni V.
    Mattia, Maurizio
    [J]. PHYSICAL REVIEW E, 2024, 110 (03)
  • [8] Complex interplay between population immunity and viral dynamics
    Zhang, Qingpeng
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2023, 120 (35)
  • [9] Cortical population activity predicts both spontaneous and evoked single neuron firing rates
    Kenet, T
    Arieli, A
    Grinvald, A
    Tsodyks, M
    [J]. NEUROSCIENCE LETTERS, 1997, : S27 - S27
  • [10] Interaction of short-term depression and firing dynamics in shaping single neuron encoding
    Mohan, Ashutosh
    McDonnell, Mark D.
    Stricker, Christian
    [J]. FRONTIERS IN COMPUTATIONAL NEUROSCIENCE, 2013, 7