4 citations · 4 across the 2 of their papers we have counts for
4 papers
Epigenetic evolution of deep convolutional models
Alexander Hadjiivanov, Alan Blair
In this study, we build upon a previously proposed neuroevolution framework to evolve deep convolutional models. Specifically, the genome encoding and the crossover operator are ex…
Adaptive conversion of real-valued input into spike trains
Alexander Hadjiivanov
This paper presents a biologically plausible method for converting real-valued input into spike trains for processing with spiking neural networks. The proposed method mimics the a…
Continuous Learning and Adaptation with Membrane Potential and Activation Threshold Homeostasis
Alexander Hadjiivanov
Most classical (non-spiking) neural network models disregard internal neuron dynamics and treat neurons as simple input integrators. However, biological neurons have an internal st…
Complexity-based speciation and genotype representation for neuroevolution
Alexander Hadjiivanov, Alan Blair
This paper introduces a speciation principle for neuroevolution where evolving networks are grouped into species based on the number of hidden neurons, which is indicative of the c…