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C. elegans behavioural response germane to Hardware modelling
This paper focuses on consideration of some specific behaviours of the worm for modelling in the hardware based Si elegans system, to establish specific neurons responsible for the worm behaviours.
Improved system identification using artificial neural networks and analysis of individual differences in responses of an identified neuron
The results suggest that ANNs are significantly better than LNL and Wiener models in predicting specific neural responses to Gaussian White Noise, but not significantly different when tested with sinusoidal inputs.
Emulation of chemical stimulus triggered head movement in the C. elegans nematode
A simulation of the neural network in C. elegans that responds to chemical stimulus is presented and a consequent realistic head movement demonstrated and an evolutionary algorithm has been utilised to search for estimates of the values of the synaptic conductances and also to determine whether each synapse is excitatory or inhibitory in nature.
Si elegans: A Computational Model of C. elegans Muscle Response to Light
An algorithm has been developed that tracks synapses in the nematode nervous system from the stimulus in the phototaxis sensory neurons to the muscles cells, and the isometric force calculated resembles that of previous investigations in muscle modelling.
Challenges in clustering C. elegans neurons using computational approaches
Using current computational techniques for clustering, such as Growing Self Organizing Networks and K-Means algorithm, this paper aims to provide a deeper analysis and understanding of the C. elegans connectome and the particulars of its individual neurons.
Dataset for Predictive Control of Intersegmental Reflex Movements in an Insect
Matlab files containing of movements of the tarsus of a locust during displacement of the femoral chordotonal organ of the hind leg. The Readme.txt file gives full details of each file
Predictive control of intersegmental tarsal movements in an insect
The results show that Artificial Neural Networks provide accurate predictions of tarsal movement when trained with an average reflex response to Gaussian White Noise stimulation compared to linear models.
Horizontal Directionality Characteristics of the Bat Head-Related Transfer Function
In this paper, the measurements of the head-related transfer function (HRTF) of the bat-head models are presented and analyzed in order to evaluate acoustic spectral characteristics of the sound
Si elegans: Evaluation of an innovative optical synaptic connectivity method for C. elegans Phototaxis using FPGAs
A small scale emulation environment composed of 8 neurons running on field programmable gate arrays (FPGAs), where each neuron FPGA is interconnected to all of the other neurons FPGAs via an innovative optical synaptic connectivity strategy.
Artificial neural network for system identification in neural networks
Mathematical modelling is used routinely to understand the coding properties and dynamics of responses of neurons and neural networks. Here we analyse the effectiveness of Artificial Neural Networks