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Found 7 papers, 1 papers with code
Assistive Chatbots for healthcare: a succinct review
However, there is a lack of trust on this technology regarding patient safety and data protection, as well as a lack of wider awareness on its benefits among the healthcare workers and professionals.
Sparse Distributed Memory using Spiking Neural Networks on Nengo
As an integral part of the SDM design, we have implemented Correlation Matrix Memory (CMM) using SNN on Nengo.
Foveal-pit inspired filtering of DVS spike response
In this paper, we present results of processing Dynamic Vision Sensor (DVS) recordings of visual patterns with a retinal model based on foveal-pit inspired Difference of Gaussian (DoG) filters.
Implementing a foveal-pit inspired filter in a Spiking Convolutional Neural Network: a preliminary study
Overall, our proof-of-concept study indicates that introducing biologically plausible filtering in existing SCNN architecture will work well with noisy input images such as those in our vehicle recognition task.
Phase Entrainment by Periodic Stimuli In Silico: A Quantitative Study
We present a quantitative study of phase entrainment by periodic visual stimuli in a biologically inspired neural network.
Bayesian Optimisation for a Biologically Inspired Population Neural Network
The 8-dimensional optimal hyper-parameter combination should be such that the network dynamics simulate the resting state alpha rhythm (8 - 13 Hz rhythms in brain signals).
Quantifying Synchronization in a Biologically Inspired Neural Network
Our motivation for SyncBox is to understand the underlying dynamics in an existing population neural network, commonly referred to as neural mass models, that mimic Local Field Potentials of the visual thalamic tissue.
