— Recent advances in machine learning and adaptive motor control have enabled efficient techniques for online learning of stationary plant dynamics and it’s use for robust pre...
The usual methods of applying Bayesian networks to the modeling of temporal processes, such as Dean and Kanazawa's dynamic Bayesian networks (DBNs), consist in discretizing t...
We show that an ongoing locomotor pattern can that the physiology of the lamprey's spinal system generalizes to be modulated by application of discrete electrical stimuli to l...
R. Jacob Vogelstein, Ralph Etienne-Cummings, Nitis...
— we present an implementation of a programmable axonal propagation delay circuit which uses one first-order logdomain low-pass filter. Delays may be programmed in the 550ms rang...
Runchun Wang, Craig T. Jin, Alistair McEwan, Andr&...
We describe an algorithm for the synthesis and optimization of interface circuits for embedded system components such as microprocessors, memory ASIC, and network subsystems with ...