Analog VLSI and Neural Systems
The first book to take VLSI into the analog domain and apply it to biology. It provides solid tools for research in artificial intelligence and neurobiology while illustrating powerful new applications for analog systems.
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action potential amplitude analog approximately auditory average axon basilar membrane behavior biological capacitance capacitor channel length Chapter chip cochlea computation conductance constraint line cues current mirror curves decreases delay line dendritic density derivative device differential pair diffusion dl/dx drain current effect electrical electrons energy equal Equation exponential feedback follower-integrator circuit frequency gain gate voltage global velocity gradient hair cells horizontal horizontal cells increase input voltage intensity ions layer limit linear system magnitude measured millivolts mobile charge molecules multiplier negative nerve pulse neuron node operation output current output voltage oxide p-channel particles photoreceptor pixel plot polysilicon positive propagate RC circuit region resistive network resistor response result retina reversal potential saturation current schematic second-order section SeeHear shown in Figure signal silicon sodium solution spatial substrate surface potential synapse transconductance amplifier transfer function transistor two-dimensional visual Vout wafer wave wire zero