Neuroscience in FPGA and Application in IoT

Author(s):  
Anjali Daisy

Neuroscience is a multidisciplinary science that is focused with the study of the structure and function of the nervous system. It contains the evolution, development, cellular and molecular biology, physiology, anatomy, and pharmacology of the nervous system, as well as computational, interactive, and cognitive neuroscience. A field-programmable gate array (FPGA) is an integrated circuit (IC) that can be programmed in the field after production. FPGAs are likely in principle to have vastly wider potential application than programmable read-only memory (PROM) chips. Internet of things (IoT) is an integrated part of future internet including existing and evolving internet and network developments and could be conceptually defined as a worldwide dynamic network infrastructure with self-configuring capabilities based on standard and interoperable protocols communication where physical and virtual “things” have identities, physical attributes, and virtual personalities.

2014 ◽  
Vol 155 (26) ◽  
pp. 1011-1018 ◽  
Author(s):  
György Végvári ◽  
Edina Vidéki

Plants seem to be rather defenceless, they are unable to do motion, have no nervous system or immune system unlike animals. Besides this, plants do have hormones, though these substances are produced not in glands. In view of their complexity they lagged behind animals, however, plant organisms show large scale integration in their structure and function. In higher plants, such as in animals, the intercellular communication is fulfilled through chemical messengers. These specific compounds in plants are called phytohormones, or in a wide sense, bioregulators. Even a small quantity of these endogenous organic compounds are able to regulate the operation, growth and development of higher plants, and keep the connection between cells, tissues and synergy beween organs. Since they do not have nervous and immume systems, phytohormones play essential role in plants’ life. Orv. Hetil., 2014, 155(26), 1011–1018.


2004 ◽  
Vol 18 (2) ◽  
pp. 167-183 ◽  
Author(s):  
Jianhua Zhang ◽  
Amy Moseley ◽  
Anil G. Jegga ◽  
Ashima Gupta ◽  
David P. Witte ◽  
...  

To understand the commitment of the genome to nervous system differentiation and function, we sought to compare nervous system gene expression to that of a wide variety of other tissues by gene expression database construction and mining. Gene expression profiles of 10 different adult nervous tissues were compared with that of 72 other tissues. Using ANOVA, we identified 1,361 genes whose expression was higher in the nervous system than other organs and, separately, 600 genes whose expression was at least threefold higher in one or more regions of the nervous system compared with their median expression across all organs. Of the 600 genes, 381 overlapped with the 1,361-gene list. Limited in situ gene expression analysis confirmed that identified genes did represent nervous system-enriched gene expression, and we therefore sought to evaluate the validity and significance of these top-ranked nervous system genes using known gene literature and gene ontology categorization criteria. Diverse functional categories were present in the 381 genes, including genes involved in intracellular signaling, cytoskeleton structure and function, enzymes, RNA metabolism and transcription, membrane proteins, as well as cell differentiation, death, proliferation, and division. We searched existing public sites and identified 110 known genes related to mental retardation, neurological disease, and neurodegeneration. Twenty-one of the 381 genes were within the 110-gene list, compared with a random expectation of 5. This suggests that the 381 genes provide a candidate set for further analyses in neurological and psychiatric disease studies and that as a field, we are as yet, far from a large-scale understanding of the genes that are critical for nervous system structure and function. Together, our data indicate the power of profiling an individual biologic system in a multisystem context to gain insight into the genomic basis of its structure and function.


2014 ◽  
pp. 27-33
Author(s):  
Mounir Bouhedda ◽  
Mokhtar Attari

The aim of this paper is to introduce a new architecture using Artificial Neural Networks (ANN) in designing a 6-bit nonlinear Analog to Digital Converter (ADC). A study was conducted to synthesise an optimal ANN in view to FPGA (Field Programmable Gate Array) implementation using Very High-speed Integrated Circuit Hardware Description Language (VHDL). Simulation and tests results are carried out to show the efficiency of the designed ANN.


1971 ◽  
Vol 123 (1) ◽  
pp. 57-67 ◽  
Author(s):  
P. R. Carnegie

Myelin from the central nervous system contains an unusual basic protein, which can induce experimental autoimmune encephalomyelitis. The basic protein from human brain was digested with trypsin and other enzymes and the sequence of the 170 amino acids was determined. The localization of the encephalitogenic determinants was described. Possible roles for the protein in the structure and function of myelin are discussed.


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