can be created using a programable switching device. Axon connections can be accomplished using nanowires. Sensor and motor function interfaces are more specialized connections with more stressing transmission, reception, and signaling requirements. Memory can be accomplished using emerging technologies like memristors, phasechange memory, valance-change memory, or resistive random access memory (RRAM). Neuron nucleus processing can be accomplished with a CPU core or a more focused microcontroller (Christensen 2022). b. biological neuron considerations The biological components of the neuron continue to be clarified with neuroscience research. Due to easier access, most experimental neuroscience research focuses on sensor processing (Ryu 2018) and central nervous system transmission and processing (Böhm 2016). Synapse transmitters and dendrite receptors interconnections have the typical characteristics of general neural circuits for these functions, but they are optimized for the specialized functions in their locations. Sensor interconnects circuits are optimized for quick reception. Central nervous system interconnects circuits are optimized for high signal-to-noise ratio signal transmission, with periodic transmission signal cleanup to maintain signal integrity. Axon connections can extend in the 3-D space of the body over long distances (especially for the central nervous system) to make the necessary interconnects (Böhm 2016). Sensor and motor function interfaces require high-fidelity signaling to accurately convey the information to the brain for the bulk of processing (Kim 2018; Böhm 2016; Ryu 2018). Memory is embedded in a dual-use fashion of signal-connecting circuits of the neuron. Neuron processing is done in the nucleus and embedded in a multiuse fashion in the signal-connecting circuits of the axons, synapses, and dendrites. 3. Circuits Neurons, in their various forms, are the major building blocks in neural operational architectures; as a result, the primary circuit that is explored in this paper is the neuron. Circuits are composed of several parts that are organized in such a way as to produce the desired function. Neuroscience research has shown that the neuron is the central building block of the brain, the central nervous system, sensor processing, and motor control. Just like a Von Neuman computer can be constructed entirely from digital logic gates (or circuits), a neural circuit can be made from neurons. Thus, there is the introduction of bdd BDD Nucleotide Materials Layer Nucleotide Package <<block>> Five Carbon Sugar parts : Deoxyribose (DNA) Sugar {unique} : Ribose (RNA) Sugar {unique} <<block>> Nucleobase parts : Primary Nucleosides {unique} <<block>> Nucleotide parts : Nucleoside {unique} : Phosphate Group {unique} <<block>> Nucleoside parts : Nucleobase {unique} : Five Carbon Sugar {unique} <<block>> Phosphate Group <<block>> Carbon <<block>> Nitrogen <<block>> Cytosine parts : CH {unique} : Nitrogen {unique} : Oxygen {unique} : NH2 {unique} : Carbon {unique} <<block>> Guanine parts : CH {unique} : Nitrogen {unique} : NH {unique} : NH2 {unique} : Oxygen {unique} : Carbon {unique} <<block>> Thymine parts : CH {unique} : Oxygen {unique} : NH {unique} : H3C {unique} : Carbon {unique} <<block>> Uracil parts : CH {unique} : Oxygen {unique} : NH {unique} : Carbon {unique} <<block>> Primary Nucleosides parts : Purines {unique} : Pyrimidines {unique} <<block>> Adenine parts : CH {unique} : Nitrogen {unique} : NH2 {unique} : Carbon {unique} : NH {unique} <<block>> Purines parts : Adenine {unique} : Guanine {unique} <<block>> Pyrimidines parts : Cytosine {unique} : Thymine {unique} : Uracil {unique} <<block>> CH parts : Hydrogen {unique} : Carbon {unique} <<block>> Oxygen <<block>> NH2 parts : Nitrogen {unique} : Hydrogen {uniq... <<block>> NH parts : Nitrogen {unique} : Hydrogen {uniq... <<block>> H3C parts : Carbon {unique} : Hydrogen {unique} <<block>> Hydrogen <<block>> Deoxyribose (DNA) Sugar <<block>> Ribose (RNA) Sugar Figure 11. Nucleotide material composition mapping. JOHANSEN Human brain function and the creation model 2023 ICC 297
RkJQdWJsaXNoZXIy MTM4ODY=