4 citations · 4 across the 2 of their papers we have counts for
3 papers
cs.CV2021★ 4 cited
Implementing a foveal-pit inspired filter in a Spiking Convolutional Neural Network: a preliminary study
Shriya T. P. Gupta, Basabdatta Sen Bhattacharya
We have presented a Spiking Convolutional Neural Network (SCNN) that incorporates retinal foveal-pit inspired Difference of Gaussian filters and rank-order encoding. The model is t…
q-bio.QM2021
Bayesian Optimisation for a Biologically Inspired Population Neural Network
Mahak Kothari, Swapna Sasi, Jun Chen +2
We have used Bayesian Optimisation (BO) to find hyper-parameters in an existing biologically plausible population neural network. The 8-dimensional optimal hyper-parameter combinat…
q-bio.QM2020
Quantifying Synchronization in a Biologically Inspired Neural Network
Pranav Mahajan, Advait Rane, Swapna Sasi +1
We present a collated set of algorithms to obtain objective measures of synchronisation in brain time-series data. The algorithms are implemented in MATLAB; we refer to our collate…