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Modeling biological behaviour requires a multidisciplinary approach and very large computational resources. In this paper, we present an overview of our research work with regards to biological neuron network (NN) modeling, electrochemical reaction emulation for neurotransmitters and finite element modeling (FEM) of a very low pressure micropump for neurotransmitter concentration modulations. Three...
Neuromorphic circuits are potential candidates for solving costly computations in an efficient manner. Such circuits, mimicking partial functionalities of the brain, need a large number of components. Simulation models are appropriate for first investigations, but they are very time-consuming regarding complex systems. Hardware realizations of specific components, like memristive devices, in such...
Sedimentary microbial fuel cells are promising harvesting systems generating powers as low as 10 μW, which is sufficient for powering underwater environmental sensors. This paper proposes a methodology and modeling to design a flyback converter in discontinuous conduction mode harvesting powers as low as 10th of μWs to maximize the harvested energy and boost its voltage to a minimum value required...
A CMOS synapse design is presented which can perform tunable asymmetric spike timing-dependent learning in asynchronous spiking neural networks. The overall design consists of three primary subcircuit blocks, and the operation of each is described. Pair-based Spike Timing-Dependent Plasticity (STDP) of the entire synapse is then demonstrated through simulation using the Cadence Virtuoso platform....
The paper evaluates three variants of the Gated Recurrent Unit (GRU) in recurrent neural networks (RNNs) by retaining the structure and systematically reducing parameters in the update and reset gates. We evaluate the three variant GRU models on MNIST and IMDB datasets and show that these GRU-RNN variant models perform as well as the original GRU RNN model while reducing the computational expense...
Conventional bio-impedance analysis to estimate the body composition has been used for many bio applications. It has been commonly applied by a sinusoidal wave or wide-band frequency signal in current domain on the target tissue, and its measured response is processed for providing the impedances. These techniques, however, have common trade-off between detectable frequency range and data rate. For...
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