Add to ORKGThe following investigated the frequency response of a biologically motivated artificial neural network (ANN). This analysis will reveal nonlinearities present in the ANN, as well as classify the network\u27s filtering characteristics. This work will demonstrate that that photoreceptor processing acts as a nonlinear low pass filter. Discussions will also demonstrate that ALMC processing acts as an inverting nonlinear low pass filter in the frequency domain. These characteristics are similar to their biological counterparts
Human perception of sound arises from the transmission of action-potentials (APs) through a neural n...
A biological neurone receives inputs from many sources, combines and presents them as a non-linear o...
The work presented in this thesis is toward the goal of extracting structure and meaning from neuros...
The following investigated the frequency response of a biologically motivated artificial neural netw...
Comparative evaluations of the frequency responses (FR) of two types of filters implemented by the c...
We analyse the effectiveness of Artificial Neural Networks (ANNs) as a modelling tool for motor neur...
Artificial neural networks (ANN) is referred as the neural networks are the signal processing and in...
AbstractMathematical modelling is used routinely to understand the coding properties and dynamics of...
Human perception of sound arises from the transmission of action-potentials (APs) through a neural n...
An Artificial Neural Network ANN is a computational model that is inspired by the way biological neu...
We describe here an elaborated neuromorphic model based on the photoreceptors of flies and realised ...
The purpose of this work is a unified and general treatment of activity in neural networks from a ma...
According to a widely held view, neurons in lateral geniculate nucleus (LGN) operate on visual stimu...
This article introduces a quantitative model of early visual system function. The model is formulate...
Artificial neuron network (ANN) is non linear mapping structures based on the function of human inte...
Human perception of sound arises from the transmission of action-potentials (APs) through a neural n...
A biological neurone receives inputs from many sources, combines and presents them as a non-linear o...
The work presented in this thesis is toward the goal of extracting structure and meaning from neuros...
The following investigated the frequency response of a biologically motivated artificial neural netw...
Comparative evaluations of the frequency responses (FR) of two types of filters implemented by the c...
We analyse the effectiveness of Artificial Neural Networks (ANNs) as a modelling tool for motor neur...
Artificial neural networks (ANN) is referred as the neural networks are the signal processing and in...
AbstractMathematical modelling is used routinely to understand the coding properties and dynamics of...
Human perception of sound arises from the transmission of action-potentials (APs) through a neural n...
An Artificial Neural Network ANN is a computational model that is inspired by the way biological neu...
We describe here an elaborated neuromorphic model based on the photoreceptors of flies and realised ...
The purpose of this work is a unified and general treatment of activity in neural networks from a ma...
According to a widely held view, neurons in lateral geniculate nucleus (LGN) operate on visual stimu...
This article introduces a quantitative model of early visual system function. The model is formulate...
Artificial neuron network (ANN) is non linear mapping structures based on the function of human inte...
Human perception of sound arises from the transmission of action-potentials (APs) through a neural n...
A biological neurone receives inputs from many sources, combines and presents them as a non-linear o...
The work presented in this thesis is toward the goal of extracting structure and meaning from neuros...