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Integrating spiking neural networks and deep learning algorithms on the neurorobotics platform (2022)
Presentation / Conference
Stentiford, R., Knowles, T. C., Feldoto, B., Ergene, D., Morin, F. O., & Pearson, M. J. (2022, July). Integrating spiking neural networks and deep learning algorithms on the neurorobotics platform. Paper presented at Living Machines 2022, Case Western Reserve University, Cleveland, Ohio, United States

We present a neurorobotic model that can associate self motion (odometry) with vision to correct for drift in a spiking neural network model of head direction based closely on known rodent neurophys-iology. We use a deep predictive coding network to... Read More about Integrating spiking neural networks and deep learning algorithms on the neurorobotics platform.

A spiking neural network model of rodent head direction calibrated with landmark free learning (2022)
Journal Article
Stentiford, R., Knowles, T. C., & Pearson, M. J. (2022). A spiking neural network model of rodent head direction calibrated with landmark free learning. Frontiers in Neurorobotics, 16, -. https://doi.org/10.3389/fnbot.2022.867019

Maintaining a stable estimate of head direction requires both self-motion (idiothetic) information and environmental (allothetic) anchoring. In unfamiliar or dark environments idiothetic drive can maintain a rough estimate of heading but is subject t... Read More about A spiking neural network model of rodent head direction calibrated with landmark free learning.