Course studied: Thesis research
More about Pedro
Thesis Title: Computational Models of the Retina on Neuromorphic Hardware
The aim of this PhD research is to create a more refined understanding of retinal function in natural visual environments and thus create improved emulations of retinal function. Biological-inspired computational models of the retina will be developed, modelled through careful analysis of cell spike datasets recorded using multi-sensor arrays from retinas that were exposed to different visual stimuli. These computational models will be initially modelled in software (MATLAB) and then implemented on neuromorphic hardware (hardware design to mimic the biologic behaviours).
The research programme has the following objectives:
- Investigate more sophisticated, biologically plausible computational models of the retina, as compared to the current state of the art, and thus develop an improved understanding of how visual information is encoded in spikes from retinal ganglion cells.
- Analyse and model, using a high-performance cluster-computing system based on FPGAs, how the retinal response to synthetic images differs from natural scenes and how such differences are encoded.
- Develop specific models for selected retinal cells, for emulation in neuromorphic hardware, to solve challenging practical problems of dynamic vision in a much more biological and computationally efficient manner.
- Integrate such hardware emulations of specific cells to emulate overall retinal function using neuromorphic hardware (very large scale integration (VLSI) circuits that mimic neuro-biological architectures) for application in cognitive robotics.
Director of Studies
Research Groups / Centres and Projects
Nottingham Trent University publications:
- Machado, P., Wade, J., Appiah, K. and McGinnity, T.M. Si elegans: Hardware Architecture and Communications Protocol in the Proceedings of the 2015 International Joint Conference on Neural Networks, Killarney, Ireland (2015)
- Machado, P., Wade, J., and McGinnity, T.M. Computational Modelling of C. elegans Nematode Nervous System using FPGAs in the Proceedings of the second International Congress on Neurotechnology, Electronics and Informatics (NEUROTECHNIX), Rome, Italy, 164-168 (2014)
- Blau, A., Callaly, F., Cawley, S., Coffey, A., De Mauro, A., Epelde, G., Ferrara, L., Krewer, F., Liberale, C., Machado, P., Maclair, G., McGinnity, T.M., Morgan, F., Mujika, A., Petrushin, A., Robin, G., and Wade, J. Exploring neural principles with Si elegans, a neuromimetic representation of the nematode Caenorhabditis elegans in the Proceedings of the 2nd International Congress on Neurotechnology, Electronics and Informatics (NEUROTECHNIX), Rome, Italy, 189-194 (2014)
- Blau, A., Callaly, F., Cawley, S., Coffey, A., De Mauro, A., Epelde, G., Ferrara, L., Krewer, F., Liberale, C., Machado, P., Maclair, G., McGinnity, T.-M., Morgan, F., Mujika, A., Petrushin, A., Robin, G., and Wade, J. The Si elegans Project – The Challenges and Prospects of Emulating Caenorhabditis elegans in Biomimetic and Biohybrid Systems, A. Duff, et al. (Eds.), Lecture Notes in Computer Science, Vol. 8608, Springer International Publishing, p. 436-438 (2014)
- Machado, P., Wade, J., and McGinnity, T.M. Si elegans: FPGA hardware emulation of C. elegans nematode nervous system at the 2014 Sixth World Congress on Nature and Biologically Inspired Computing (NaBIC), 65-71 (2014)
- Costalago Meruelo, A., Machado, P., Appiah, K. and Mcginnity, M. Si elegans: A computational model of C. elegans muscle response to light in the Proceedings of the 3rd International Congress on Neurotechnology, Electronics and Informatics Lisbon, Portugal, 121-126 (2015)
- Machado, P., Wade, J., and Mcginnity, T.M. Si elegans: Modeling the C. elegans Nematode Nervous System Using High Performance FPGAS in Biosystems & Biorobotics - Advances in Neurotechnology, Electronics and Informatics, R.A. Londral and P. Encarnação (Eds.), Vol. 12, Springer, p. 31-45 (2016)