All Outputs (2)

Multimodal Representation Learning for Place Recognition Using Deep Hebbian Predictive Coding (2021)
Journal Article
Pearson, M. J., Dora, S., Struckmeier, O., Knowles, T. C., Mitchinson, B., Tiwari, K., …Pennartz, C. M. (2021). Multimodal Representation Learning for Place Recognition Using Deep Hebbian Predictive Coding. Frontiers in Robotics and AI, 8, Article 732023. https://doi.org/10.3389/frobt.2021.732023

Recognising familiar places is a competence required in many engineering applications that interact with the real world such as robot navigation. Combining information from different sensory sources promotes robustness and accuracy of place recogniti... Read More about Multimodal Representation Learning for Place Recognition Using Deep Hebbian Predictive Coding.

A multizone cerebellar chip for bioinspired adaptive robot control and sensorimotor processing (2021)
Journal Article
Wilson, E. D., Assaf, T., Rossiter, J. M., Dean, P., Porrill, J., Anderson, S. R., & Pearson, M. J. (2021). A multizone cerebellar chip for bioinspired adaptive robot control and sensorimotor processing. Interface, 18(174), https://doi.org/10.1098/rsif.2020.0750

The cerebellum is a neural structure essential for learning, which is connected via multiple zones to many different regions of the brain, and is thought to improve human performance in a large range of sensory, motor and even cognitive processing ta... Read More about A multizone cerebellar chip for bioinspired adaptive robot control and sensorimotor processing.