Publication date: Available online 20 September 2023
Source: Medical Image Analysis
Author(s): Yuxuan Shi, Hong Wang, Haoqin Ji, Haozhe Liu, Yuexiang Li, Nanjun He, Dong Wei, Yawen Huang, Qi Dai, Jianrong Wu, Xinrong Chen, Yefeng Zheng, Hongmeng Yu
Publication date: Available online 20 September 2023
Source: Medical Image Analysis
Author(s): Yuxuan Shi, Hong Wang, Haoqin Ji, Haozhe Liu, Yuexiang Li, Nanjun He, Dong Wei, Yawen Huang, Qi Dai, Jianrong Wu, Xinrong Chen, Yefeng Zheng, Hongmeng Yu
A feature of the brains of intelligent animals is the ability to learn to respond to an ensemble of active neuronal inputs with a behaviorally appropriate ensemble of active neuronal outputs. Previously, a hypothesis was proposed on how this mechanism is implemented at the cellular level within the neocortical pyramidal neuron: the apical tuft or perisomatic inputs initiate "guess" neuron firings, while the basal dendrites identify input patterns based on excited synaptic clusters, with the cluster excitation strength adjusted based on reward feedback. This simple mechanism allows neurons to learn to classify their inputs in a surprisingly intelligent manner. Here, we revise and extend this hypothesis. We modify synaptic plasticity rules to align with behavioral time scale synaptic plasticity (BTSP) observed in hippocampal area CA1, making the framework more biophysically and behaviorally plausible. The neurons for the guess firings are selected in a voluntary manner via feedback connections to apical tufts in the neocortical layer 1, leading to dendritic Ca2+ spikes with burst firing, which are postulated to be neural correlates of attentional, aware processing. Once learned, the neuronal input classification is executed without voluntary or conscious control, enabling hierarchical incremental learning of classifications that is effective in our inherently classifiable world. In addition to voluntary, we propose that pyramidal neuron burst firing can be involuntary, also initiated via apical tuft inputs, drawing attention towards important cues such as novelty and noxious stimuli. We classify the excitations of neocortical pyramidal neurons into four categories based on their excitation pathway: attentional versus automatic and voluntary/acquired versus involuntary. Additionally, we hypothesize that dendrites within pyramidal neuron minicolumn bundles are coupled via depolarization...
Publication date: Available online 21 August 2023
Source: Information Sciences
Author(s): Minxue Kong, Feifei Shen, Peihao Du, Xin Peng, Weimin Zhong
Publication date: Available online 21 August 2023
Source: Information Sciences
Author(s): Yu Liu, Jian Wang, Bing Li
Publication date: Available online 30 August 2023
Source: Information Sciences
Author(s): Yi Cui, Dongbin Hu, Xiaohong Chen, Xuanhua Xu, Zeshui Xu
Publication date: Available online 1 September 2023
Source: Information Sciences
Author(s): Yue Wang, Yonghui Yang, Libing Wu
Publication date: Available online 17 September 2023
Source: Information Sciences
Author(s): Zhijun Guo, Yang Shen, Tian Yang, Yuan-Jiang Li, Yanfang Deng, Yuhua Qian
Publication date: Available online 17 September 2023
Source: Information Sciences
Author(s): Hao Lan, Jingsong He
Publication date: Available online 18 September 2023
Source: Information Sciences
Author(s): Tingquan Deng, Qingwei Jia, Jingyu Wang, Hamido Fujita