All Outputs (3)

Integrating spiking neural networks and deep learning algorithms on the neurorobotics platform (2022)
Presentation / Conference Contribution

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

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.

WhiskEye: A biomimetic model of multisensory spatial memory based on sensory reconstruction (2021)
Presentation / Conference Contribution

We present WhiskEye, a visual tactile robot supporting a neurorobotic investigation of spatial memory as a multisensory reconstructive process. This article outlines the motivation for building WhiskEye; the technical details of the physical robot, a... Read More about WhiskEye: A biomimetic model of multisensory spatial memory based on sensory reconstruction.