in this paper. Getting a perspective of what has been used in thinking through these concepts is useful. There are many related areas in neuron research and neuromorphic computing. The areas examined in this paper are neuron models, classifications, and architecture; neural circuits and response experiments; spiking neural networks; neuromorphic computing; and neuromorphic computing simulation, as shown in Fig. 1. Research Threads C. Spiking Neural Networks D. Neuromorphic Computing A. Neuron Models, Classifications, and Architecture B. Neural Circuits and Response Experiments Architecture Models Classifications Circuits Response Experiments Sensors Spiking Learning Networks Mimic Brain Neuroscience Neuromorphic Computing Figure 2. Research focus areas. Figure 1. Literature review highlights. A Neurons Models, Class., and Architecture 1 Molecular Biology of the Neuron 2 Models of Neurons 3 Mapping Proteins to Parts of the Brain 4 Retinal Neuron Classification 5 Structural and Functional Units of the Neuron 6 Relationship between Brain Neurons and Models 7 Neuron Gene Expression 8 Method for Recording Single Neuron Activity 9 Vis. of Neuronal Structures from Human Brain Testing 10 Neuronal Activity Mapper 11 Proposed Architecture of Human Memory 12 Methylation of Neurons 13 Limitations of Artificial Neural Networks B Neuron Circuit and Response Experiments 1 Organic Electronic Sensor Nerve Driving a Motor 2 Brain Circuit Findings from Testing Drosophila Flies 3 Experimental Results of Spinal Cord Circuit Testing 4 Neuron Activity Mapping from Zebrafish Experiments 5 Vision System and Simulation Response Comparison 6 Neuron Types in the Neocortex 7 Neuron Memory Experimental Results 8 Neuron Activity and Memory Human Trial Results C Spiking Neuron Networks 1 Visual System Neuron Spiking Model 2 Neuron Sensor Firing to the Brain 3 Neuron Algorithms and Trades 4 Spiking Neuron Algorithms 5 Brain Neural Networks 6 Phosphorylation Signaling in Proteins 7 Human Learning D Neuromorphic Computing 1 Energy-Efficient Neuromorphic Computing 2 Neuromorphic Computing Chip 3 Neuromorphic Computing Roadmap 4 Neuromorphic Computing Algorithms & Apps 5 Human Brain in Silicon 6 Big Data Applications of Neuromorphic Computing Fig. 2 highlights five thematic areas that are addressed in this research paper: (1) neuron models, classifications, and architecture, (2) neural circuits and response experiments, (3) spiking neural networks, and (4) neuromorphic computing. Note that there are two major areas where the literature can be grouped, neuroscience and neuromorphic computing. The details of this literature review are included in the appendix. JOHANSEN Human brain function and the creation model 2023 ICC 291
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