C. elegans behavioural response germane to Hardware modelling
- Kofi Appiah, Pedro Machado, A. C. Meruelo, T. McGinnity
- BiologyIEEE International Joint Conference on Neural…
- 24 July 2016
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
- A. C. Meruelo, D. Simpson, S. Veres, P. Newland
- BiologyNeural Networks
- 1 March 2016
Emulation of chemical stimulus triggered head movement in the C. elegans nematode
- A. C. Meruelo, Pedro Machado, T. McGinnity
- BiologyNeurocomputing
- 6 February 2018
Si elegans: A Computational Model of C. elegans Muscle Response to Light
- A. C. Meruelo, Pedro Machado, Kofi Appiah, T. McGinnity
- BiologyInternational Congress on Neurotechnology…
- 2015
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.
Dataset for Predictive Control of Intersegmental Reflex Movements in an Insect
- P. Newland, A. C. Meruelo, D. Simpson
- Computer Science
- 5 April 2017
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
Challenges in clustering C. elegans neurons using computational approaches
- A. C. Meruelo, Pedro Machado, Kofi Appiah, T. McGinnity
- Computer Science, BiologyIEEE International Joint Conference on Neural…
- 1 July 2016
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.
Predictive control of intersegmental tarsal movements in an insect
- A. C. Meruelo, D. Simpson, S. Veres, P. Newland
- BiologyJournal of Computational Neuroscience
- 22 April 2017
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
- Su Yeon Kim, D. Nikolić, A. C. Meruelo, R. Allen
- Physics
- 1 May 2010
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…
Artificial neural network for system identification in neural networks
- A. C. Meruelo, D. Simpson, S. Veres, P. Newland
- Biology
- 2016
The results indicate that ANNs are significantly better than Wiener models in predicting neural responses and are also able to predict responses of the same neuron in different individuals irrespective of which animal was used to develop the model.
Si elegans: Evaluation of an innovative optical synaptic connectivity method for C. elegans Phototaxis using FPGAs
- Pedro Machado, A. C. Meruelo, A. Blau
- Computer ScienceIEEE International Joint Conference on Neural…
- 24 July 2016
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.
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