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物体识别中的神经吸引子动力学。

Neural attractor dynamics in object recognition.

机构信息

SISSA, Cognitive Neuroscience Sector, Trieste, Italy.

出版信息

Exp Brain Res. 2010 Jun;203(2):241-8. doi: 10.1007/s00221-010-2243-1. Epub 2010 May 1.

DOI:10.1007/s00221-010-2243-1
PMID:20437171
Abstract

A widely held theory dating back to Donald Hebb posits neuronal attractor dynamics to underlie the retrieval of objects from long-term memory and the categorization of ambiguous stimuli, but empirical support for this notion had so far pointed more at self-sustained activity than at attractor dynamics per se. Complex perceptual effects modulating memory retrieval, including priming effects, are compatible with both attractor dynamics and alternative hypotheses, which seem to result in opposite predictions at the neuronal level. Recent recordings in monkeys indicate that attractor dynamics may indeed be observed, as it unfolds in time over a few hundred milliseconds, if neurons are probed in infero-temporal cortex during the categorization of ambiguous visual stimuli. Extending the analysis of such phenomena promises to take us beyond the perceptual periphery, where neuronal responses are still largely determined by sensory stimuli. Understanding the nature of transitions between attractor states opens the door to higher-level thought processes.

摘要

一种广为接受的理论可以追溯到唐纳德·赫布(Donald Hebb),该理论认为神经元吸引子动力学是从长期记忆中检索物体和对模棱两可的刺激进行分类的基础,但到目前为止,这一概念的实证支持更多地指向自我维持的活动,而不是吸引子动力学本身。调节记忆检索的复杂感知效应,包括启动效应,与吸引子动力学和替代假设都兼容,这些假设在神经元水平似乎产生了相反的预测。最近在猴子身上的记录表明,如果在颞下皮质中对模棱两可的视觉刺激进行分类时探测神经元,吸引子动力学可能确实会随着时间的推移在几百毫秒内展开。扩展对这种现象的分析有望使我们超越感知范围,在感知范围内,神经元反应在很大程度上仍然由感觉刺激决定。了解吸引子状态之间的转变性质为更高层次的思维过程打开了大门。

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2
How recent experience affects the perception of ambiguous objects.近期经验如何影响对模糊物体的感知。
Brain Res. 2010 Mar 31;1322:81-91. doi: 10.1016/j.brainres.2010.01.060. Epub 2010 Feb 1.
3
Mapping dynamic memories of gradually changing objects.映射逐渐变化对象的动态记忆。
Proc Natl Acad Sci U S A. 2022 Aug 9;119(32):e2203149119. doi: 10.1073/pnas.2203149119. Epub 2022 Jul 18.
4
A model of naturalistic decision making in preference tests.自然决策模型在偏好测试中的应用。
PLoS Comput Biol. 2021 Sep 23;17(9):e1009012. doi: 10.1371/journal.pcbi.1009012. eCollection 2021 Sep.
5
Precision multidimensional neural population code recovered from single intracellular recordings.从单个细胞内记录中恢复的精确多维神经群体代码。
Sci Rep. 2020 Sep 29;10(1):15997. doi: 10.1038/s41598-020-72936-1.
6
Attractor-state itinerancy in neural circuits with synaptic depression.具有突触抑制的神经回路中的吸引子状态巡游
J Math Neurosci. 2020 Sep 11;10(1):15. doi: 10.1186/s13408-020-00093-w.
7
A statistical method for analyzing and comparing spatiotemporal cortical activation patterns.一种用于分析和比较时空皮质激活模式的统计方法。
Sci Rep. 2018 Apr 3;8(1):5433. doi: 10.1038/s41598-018-23765-w.
8
Itinerancy between attractor states in neural systems.神经系统中吸引子状态之间的巡回
Curr Opin Neurobiol. 2016 Oct;40:14-22. doi: 10.1016/j.conb.2016.05.005. Epub 2016 Jun 16.
9
Modelling fast forms of visual neural plasticity using a modified second-order motion energy model.使用改进的二阶运动能量模型对视觉神经可塑性的快速形式进行建模。
J Comput Neurosci. 2014 Dec;37(3):493-504. doi: 10.1007/s10827-014-0520-x. Epub 2014 Jul 31.
10
Early recurrent feedback facilitates visual object recognition under challenging conditions.早期反复反馈有助于在具有挑战性的条件下进行视觉物体识别。
Front Psychol. 2014 Jul 1;5:674. doi: 10.3389/fpsyg.2014.00674. eCollection 2014.
Proc Natl Acad Sci U S A. 2009 Mar 31;106(13):5371-6. doi: 10.1073/pnas.0802111106. Epub 2009 Mar 12.
4
Semantic priming in a cortical network model.皮质网络模型中的语义启动。
J Cogn Neurosci. 2009 Dec;21(12):2300-19. doi: 10.1162/jocn.2008.21156.
5
Converging neuronal activity in inferior temporal cortex during the classification of morphed stimuli.在变形刺激分类过程中颞下皮质的神经元活动汇聚
Cereb Cortex. 2009 Apr;19(4):760-76. doi: 10.1093/cercor/bhn125. Epub 2008 Jul 31.
6
Neural coding of categories: information efficiency and optimal population codes.类别神经编码:信息效率与最优群体编码
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7
The CA3 network as a memory store for spatial representations.作为空间表征记忆库的CA3网络。
Learn Mem. 2007 Nov 14;14(11):732-44. doi: 10.1101/lm.687407. Print 2007 Nov.
8
Natural stimuli evoke dynamic sequences of states in sensory cortical ensembles.自然刺激在感觉皮层神经元集群中引发动态的状态序列。
Proc Natl Acad Sci U S A. 2007 Nov 20;104(47):18772-7. doi: 10.1073/pnas.0705546104. Epub 2007 Nov 13.
9
The effects of perceptual history on memory of visual objects.感知历史对视觉对象记忆的影响。
Vision Res. 2007 Mar;47(7):965-73. doi: 10.1016/j.visres.2007.01.003. Epub 2007 Feb 14.
10
Dynamics of memory representations in networks with novelty-facilitated synaptic plasticity.具有新奇促进突触可塑性的网络中记忆表征的动力学
Neuron. 2006 Oct 19;52(2):383-94. doi: 10.1016/j.neuron.2006.08.016.