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Mesenchymal Stem Cell-Derived Exosomes in Anti-NET Therapy: Mechanisms, Challenges, and Future Perspectives. [PDF]
Int J NanomedicineYe Y +7 more
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Primary renal neuroendocrine tumor: A rare case and review of diagnostic and therapeutic challenges. [PDF]
Urol Case RepKokoneshi K +9 more
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Few-shot learning for the classification of colorectal neuroendocrine tumors and polyps on endoscopic images. [PDF]
J Int Med ResZhu S +7 more
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Deep-learning prediction of gene expression from personal genomes. [PDF]
Genome BiolDrusinsky S, Whalen S, Pollard KS.
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Innate immunity in chemotherapy-induced peripheral neuropathy: recent advances. [PDF]
Front Pain Res (Lausanne)Dong N, Lin T.
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Quarterly Reviews of Biophysics, 1988
The brain is one of the most highly organized structures in the known universe. It is a biological computer which has evolved over a billion years to program, monitor and control all bodily functions. It is also the organ of knowing, feeling and thinking. To understand how the brain works is perhaps the most difficult of all scientific problems.
J D, Cowan, D H, Sharp
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The brain is one of the most highly organized structures in the known universe. It is a biological computer which has evolved over a billion years to program, monitor and control all bodily functions. It is also the organ of knowing, feeling and thinking. To understand how the brain works is perhaps the most difficult of all scientific problems.
J D, Cowan, D H, Sharp
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International Journal of Theoretical Physics, 1998
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zak, Michail, Williams, Colin P.
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zak, Michail, Williams, Colin P.
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Neural Networks, 2001
Formulations of artificial neural networks are directly related to assumptions about neural coding in the brain. Traditional connectionist networks assume channel-based rate coding, while time-delay networks convert temporally-coded inputs into rate-coded outputs.
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Formulations of artificial neural networks are directly related to assumptions about neural coding in the brain. Traditional connectionist networks assume channel-based rate coding, while time-delay networks convert temporally-coded inputs into rate-coded outputs.
openaire +2 more sources