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If you don't have a strong background in circuits & signals, I highly recommend: Circuits, Signals, and Systems for Bioengineers: A MATLAB-Based Introduction (Biomedical Engineering) by John Semmlow (Mar 21, 2005). You can also grab some Schaum's Outlines along the way if you want added practice. And if you enjoy the circuits section, grab an ...


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Signals and System by Oppenheim (and others) was developed while he was teaching 6.003 at MIT. Similarly Foundations of Analog and Digital Electronic Circuits by Agarwal (and others) was developed while he was teaching 6.002 at MIT. Circuits, Signals and Systems by Siebert was written while he was teaching at MIT. Siebert was before my time, but I believe ...


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Neural networks constitute one (very important) level of organization that is modelled computationally in brain research. Computational neuroscience attempts to make these as biologically realistic as possible, often creating models that operate at multiple levels, such as having the neural networks exhibit electrochemical dynamics - something that is ...


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First, a definition, which is basically what you said but refers to elements in the domain of the function: "A learning algorithm has high variance for a particular input x if it predicts different output values when trained on different training sets." So, in order to have zero variance, the machine/NN must output the exact same value for x across training ...



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