Energy-efficient neural network using an anisotropy field gradient-based self-resetting neuron and meander synapse
Neuromorphic computing (NC) is considered a potential solution for energy-efficient artificial
intelligence applications. The development of reliable neural network (NN) hardware with …
intelligence applications. The development of reliable neural network (NN) hardware with …
Congestion aware layout driven logic synthesis
T Kutzschebauch, L Stok - … . ICCAD 2001. IEEE/ACM Digest of …, 2001 - ieeexplore.ieee.org
In this paper, we present novel algorithms that effectively combine physical layout and early
logic synthesis to improve overall design quality. In addition, we employ partitioning and …
logic synthesis to improve overall design quality. In addition, we employ partitioning and …
Dynamics analysis of parallel simulations of the spike response model
The impact of parallel simulation strategies on the almost chaotic nature of the behavior of
brain microcircuit simulations is of increasing importance to neuroscience. The challenge …
brain microcircuit simulations is of increasing importance to neuroscience. The challenge …
Improving performance of a Computational Neural Network Library
S Tatale, P Kharade, A Shaikh… - 2019 3rd International …, 2019 - ieeexplore.ieee.org
In order to convert a physical problem into a computational one, there should be libraries to
support the execution of the program. Insilico is a library used to simulate network of …
support the execution of the program. Insilico is a library used to simulate network of …
Distributed dynamics analysis of spiking neural network simulations
In order increase the chance of the adoption of new parallelization strategies and algorithms
in the computational neuroscience community, one needs first to quantify qualitatively and …
in the computational neuroscience community, one needs first to quantify qualitatively and …