{"title":"Dynamical mechanisms for coordinating long-term working memory based on the precision of spike-timing in cortical neurons.","authors":"Terrence J Sejnowski","doi":"10.1007/s00422-026-01039-3","DOIUrl":null,"url":null,"abstract":"<p><p>In the last century, most sensorimotor studies of cortical neurons relied on average firing rates. Rate coding is efficient for fast sensorimotor processing that occurs within a few seconds. Much less is known about the neural mechanisms underlying long-term working memory with a time scale of hours (Ericsson and Kintsch in Psychol Rev 102(2):211, 1995). Cognitive states may not have sensory or motor correlates. For example, you can sit in a quiet room making plan without moving or sensory processing. You can also make plans while out walking. This suggests that the neural substrate for cognitive states neither depends on nor interferes with ongoing sensorimotor brain activity. In this perspective, I make the case for a possible second tier of neural activity that coexists with the well-established sensorimotor tier. The prominent physiological feature of the second tier is coordinated spike timing activity. The interplay of data supporting this hypothesis involves three puzzling yet highly intriguing experimental observations, without any obvious indication that they might actually represent different aspects of a single functional organization. First, consider the precision of spiking in individual neurons. The discovery of millisecond-precision spike initiation in cortical neurons was unexpected (Mainen and Sejnowski in Science 268:1503-1506, 1995). Even more striking was the precision of spiking in vivo, in response to rapidly fluctuating sensory inputs. Second, high temporal resolution can also mediate spike timing-dependent plasticity (STDP) by controlling the relative timing of presynaptic and postsynaptic spikes at the millisecond scale. Third, we observe waves across many frequency bands traveling across the cortex. Strikingly, their timing is highly precise. Gamma waves, for example, which are triggered by attention, can plausibly trigger STDP that lasts for hours in cortical neurons. This temporary cortical network, ostensibly a second tier of functionality, rides astride the long-term sensorimotor network and could support cognitive processing and long-term working memory.</p>","PeriodicalId":55374,"journal":{"name":"Biological Cybernetics","volume":"120 3-4","pages":""},"PeriodicalIF":2.0000,"publicationDate":"2026-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13371168/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biological Cybernetics","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1007/s00422-026-01039-3","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, CYBERNETICS","Score":null,"Total":0}
引用次数: 0
Abstract
In the last century, most sensorimotor studies of cortical neurons relied on average firing rates. Rate coding is efficient for fast sensorimotor processing that occurs within a few seconds. Much less is known about the neural mechanisms underlying long-term working memory with a time scale of hours (Ericsson and Kintsch in Psychol Rev 102(2):211, 1995). Cognitive states may not have sensory or motor correlates. For example, you can sit in a quiet room making plan without moving or sensory processing. You can also make plans while out walking. This suggests that the neural substrate for cognitive states neither depends on nor interferes with ongoing sensorimotor brain activity. In this perspective, I make the case for a possible second tier of neural activity that coexists with the well-established sensorimotor tier. The prominent physiological feature of the second tier is coordinated spike timing activity. The interplay of data supporting this hypothesis involves three puzzling yet highly intriguing experimental observations, without any obvious indication that they might actually represent different aspects of a single functional organization. First, consider the precision of spiking in individual neurons. The discovery of millisecond-precision spike initiation in cortical neurons was unexpected (Mainen and Sejnowski in Science 268:1503-1506, 1995). Even more striking was the precision of spiking in vivo, in response to rapidly fluctuating sensory inputs. Second, high temporal resolution can also mediate spike timing-dependent plasticity (STDP) by controlling the relative timing of presynaptic and postsynaptic spikes at the millisecond scale. Third, we observe waves across many frequency bands traveling across the cortex. Strikingly, their timing is highly precise. Gamma waves, for example, which are triggered by attention, can plausibly trigger STDP that lasts for hours in cortical neurons. This temporary cortical network, ostensibly a second tier of functionality, rides astride the long-term sensorimotor network and could support cognitive processing and long-term working memory.
在上个世纪,大多数皮层神经元的感觉运动研究依赖于平均放电率。速率编码对于发生在几秒钟内的快速感觉运动处理是有效的。对于以小时为时间尺度的长期工作记忆的神经机制知之甚少(Ericsson and Kintsch in Psychol Rev 102(2):211, 1995)。认知状态可能没有感觉或运动相关。例如,你可以坐在一个安静的房间里制定计划,不动也不做任何感觉处理。你也可以在外出散步时制定计划。这表明认知状态的神经基质既不依赖也不干扰正在进行的感觉运动脑活动。从这个角度来看,我认为可能存在与已建立的感觉运动层共存的第二层神经活动。第二层的显著生理特征是协调的尖峰计时活动。支持这一假设的数据的相互作用包括三个令人困惑但非常有趣的实验观察,没有任何明显的迹象表明它们实际上可能代表一个单一功能组织的不同方面。首先,考虑单个神经元的峰值精度。在皮层神经元中发现毫秒级精确的脉冲启动是出乎意料的(Mainen和Sejnowski在Science 268:1503-1506, 1995)。更令人惊讶的是,在体内对快速波动的感觉输入做出反应时,脉冲的准确性。其次,高时间分辨率还可以通过在毫秒尺度上控制突触前和突触后峰值的相对时间来调节峰值时间依赖性可塑性(STDP)。第三,我们观察到许多频带的电波穿过大脑皮层。引人注目的是,它们的时机非常精确。例如,由注意力触发的伽马波可能会在皮质神经元中引发持续数小时的STDP。这个暂时的皮层网络,表面上是第二层功能,跨越了长期感觉运动网络,可以支持认知处理和长期工作记忆。
期刊介绍:
Biological Cybernetics is an interdisciplinary medium for theoretical and application-oriented aspects of information processing in organisms, including sensory, motor, cognitive, and ecological phenomena. Topics covered include: mathematical modeling of biological systems; computational, theoretical or engineering studies with relevance for understanding biological information processing; and artificial implementation of biological information processing and self-organizing principles. Under the main aspects of performance and function of systems, emphasis is laid on communication between life sciences and technical/theoretical disciplines.