Context-Sensitive Processing in a Model Neocortical Pyramidal Cell With Two Sites of Input Integration.

IF 2.7 4区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Neural Computation Pub Date : 2025-03-18 DOI:10.1162/neco_a_01739
Bruce P Graham, Jim W Kay, William A Phillips
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Abstract

Neocortical layer 5 thick-tufted pyramidal cells are prone to exhibiting burst firing on receipt of coincident basal and apical dendritic inputs. These inputs carry different information, with basal inputs coming from feedforward sensory pathways and apical inputs coming from diverse sources that provide context in the cortical hierarchy. We explore the information processing possibilities of this burst firing using computer simulations of a noisy compartmental cell model. Simulated data on stochastic burst firing due to brief, simultaneously injected basal and apical currents allow estimation of burst firing probability for different stimulus current amplitudes. Information-theory-based partial information decomposition (PID) is used to quantify the contributions of the apical and basal input streams to the information in the cell output bursting probability. Four different operating regimes are apparent, depending on the relative strengths of the input streams, with output burst probability carrying more or less information that is uniquely contributed by either the basal or apical input, or shared and synergistic information due to the combined streams. We derive and fit transfer functions for these different regimes that describe burst probability over the different ranges of basal and apical input amplitudes. The operating regimes can be classified into distinct modes of information processing, depending on the contribution of apical input to output bursting: apical cooperation, in which both basal and apical inputs are required to generate a burst; apical amplification, in which basal input alone can generate a burst but the burst probability is modulated by apical input; apical drive, in which apical input alone can produce a burst; and apical integration, in which strong apical or basal inputs alone, as well as their combination, can generate bursting. In particular, PID and the transfer function clarify that the apical amplification mode has the features required for contextually modulated information processing.

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大脑皮层第 5 层厚簇锥体细胞在接收到重合的基底和顶端树突输入时容易出现爆发性发射。这些输入携带不同的信息,基底输入来自前馈感觉通路,而顶端输入则来自皮层层次结构中提供上下文的不同来源。我们利用计算机模拟了一个噪声分区细胞模型,探索了这种突发性发射的信息处理可能性。通过对同时注入基底和顶端电流的短暂随机猝发发射的模拟数据,我们可以估算出不同刺激电流幅度下的猝发发射概率。基于信息论的部分信息分解(PID)被用来量化顶端和基底输入流对细胞输出猝发概率信息的贡献。根据输入流的相对强度,输出猝发概率或多或少地包含了由基底或顶端输入所独有的信息,或由综合输入流所共享和协同的信息。我们推导并拟合了这些不同状态的传递函数,它们描述了基底和顶端输入振幅不同范围内的猝发概率。根据心尖输入对输出猝发的贡献,这些运行状态可分为不同的信息处理模式:心尖合作,即需要基底和心尖输入才能产生猝发;心尖放大,即基底输入单独就能产生猝发,但猝发概率受心尖输入的调节;心尖驱动,即心尖输入单独就能产生猝发;心尖整合,即心尖或基底输入单独以及它们的组合都能产生猝发。特别是,PID 和传递函数表明,根尖放大模式具有上下文调制信息处理所需的特征。
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来源期刊
Neural Computation
Neural Computation 工程技术-计算机:人工智能
CiteScore
6.30
自引率
3.40%
发文量
83
审稿时长
3.0 months
期刊介绍: Neural Computation is uniquely positioned at the crossroads between neuroscience and TMCS and welcomes the submission of original papers from all areas of TMCS, including: Advanced experimental design; Analysis of chemical sensor data; Connectomic reconstructions; Analysis of multielectrode and optical recordings; Genetic data for cell identity; Analysis of behavioral data; Multiscale models; Analysis of molecular mechanisms; Neuroinformatics; Analysis of brain imaging data; Neuromorphic engineering; Principles of neural coding, computation, circuit dynamics, and plasticity; Theories of brain function.
期刊最新文献
Active Inference and Intentional Behavior. Context-Sensitive Processing in a Model Neocortical Pyramidal Cell With Two Sites of Input Integration. Enhanced EEG Forecasting: A Probabilistic Deep Learning Approach. Knowledge as a Breaking of Ergodicity. Learning in Wilson-Cowan Model for Metapopulation.
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