Sensitivity to perturbations in vivo implies high noise and suggests rate coding in cortex

被引:291
作者
London, Michael [2 ,3 ]
Roth, Arnd [2 ,3 ]
Beeren, Lisa [2 ,3 ]
Haeusser, Michael [2 ,3 ]
Latham, Peter E. [1 ]
机构
[1] UCL, Gatsby Computat Neurosci Unit, London WC1N 3AR, England
[2] UCL, Wolfson Inst Biomed Res, London WC1E 6BT, England
[3] UCL, Dept Neurosci Physiol & Pharmacol, London WC1E 6BT, England
基金
英国惠康基金; 英国医学研究理事会; 英国工程与自然科学研究理事会;
关键词
PYRAMIDAL NEURONS; VISUAL-CORTEX; NETWORKS; PRECISION; MODEL; COMPUTATION; DENDRITES; NEOCORTEX; PATTERNS; SYSTEMS;
D O I
10.1038/nature09086
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
It is well known that neural activity exhibits variability, in the sense that identical sensory stimuli produce different responses(1-3), but it has been difficult to determine what this variability means. Is it noise, or does it carry important information-about, for example, the internal state of the organism? Here we address this issue from the bottom up, by asking whether small perturbations to activity in cortical networks are amplified. Based on in vivo whole-cell patch-clamp recordings in rat barrel cortex, we find that a perturbation consisting of a single extra spike in one neuron produces approximately 28 additional spikes in its postsynaptic targets. We also show, using simultaneous intra-and extracellular recordings, that a single spike in a neuron produces a detectable increase in firing rate in the local network. Theoretical analysis indicates that this amplification leads to intrinsic, stimulus-independent variations in membrane potential of the order of +/- 2.2-4.5 mV-variations that are pure noise, and so carry no information at all. Therefore, for the brain to perform reliable computations, it must either use a rate code, or generate very large, fast depolarizing events, such as those proposed by the theory of synfire chains(4,5). However, in our in vivo recordings, we found that such events were very rare. Our findings are thus consistent with the idea that cortex is likely to use primarily a rate code.
引用
收藏
页码:123 / U142
页数:6
相关论文
共 35 条
[31]   Functional maps of neocortical local circuitry [J].
Thomson, Alex M. ;
Lamy, Christophe .
FRONTIERS IN NEUROSCIENCE, 2007, 1 (01) :19-42
[32]   THE STATISTICAL RELIABILITY OF SIGNALS IN SINGLE NEURONS IN CAT AND MONKEY VISUAL-CORTEX [J].
TOLHURST, DJ ;
MOVSHON, JA ;
DEAN, AF .
VISION RESEARCH, 1983, 23 (08) :775-785
[33]   Chaotic balanced state in a model of cortical circuits [J].
van Vreeswijk, C ;
Sompolinsky, H .
NEURAL COMPUTATION, 1998, 10 (06) :1321-1371
[34]  
vanVreeswijk C, 1996, SCIENCE, V274, P1724, DOI 10.1126/science.274.5293.1724
[35]   Nature and precision of temporal coding in visual cortex: A metric-space analysis [J].
Victor, JD ;
Purpura, KP .
JOURNAL OF NEUROPHYSIOLOGY, 1996, 76 (02) :1310-1326