4 citations · 8 across the 6 of their papers we have counts for
4 papers · 1 filter
Sparse Distributed Memory using Spiking Neural Networks on Nengo
Rohan Deepak Ajwani, Arshika Lalan, Basabdatta Sen Bhattacharya +1
We present a Spiking Neural Network (SNN) based Sparse Distributed Memory (SDM) implemented on the Nengo framework. We have based our work on previous work by Furber et al, 2004, i…
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…
Phase Entrainment by Periodic Stimuli In Silico: A Quantitative Study
Swapna Sasi, Basabdatta Sen Bhattacharya
We present a quantitative study of phase entrainment by periodic visual stimuli in a biologically inspired neural network. The objective is to understand the neuronal population dy…
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…