Autonomous robots are expected to perform a wide range of sophisticated tasks in complex,
unknown environments. However, available onboard computing capabilities and algorithms …

Drosophila melanogaster has a rich repertoire of innate and learned behaviors. Its 100,000-
neuron brain is a large but tractable target for comprehensive neural circuit mapping. Only …

State-of-the-art algorithms for visual place recognition, and related visual navigation
systems, can be broadly split into two categories: computer-science-oriented models …

Associative memory formation and recall in the fruit fly Drosophila melanogaster is
subserved by the mushroom body (MB). Upon arrival in the MB, sensory information …

Inventors of the original artificial neural networks (ANNs) derived their inspiration from
biology [1]. However, today, most ANNs, such as backpropagation-based convolutional …

State-of-the-art visual place recognition performance is currently being achieved utilizing
deep learning based approaches. Despite the recent efforts in designing lightweight …

Proprioception is one of the least understood senses, yet fundamental for the control of
movement. Even basic questions of how limb pose is represented in the somatosensory …

The fruit fly Drosophila's olfactory circuit has inspired a new locality sensitive hashing (LSH)
algorithm, FlyHash. In contrast with classical LSH algorithms that produce low dimensional …

Within a single sniff, the mammalian olfactory system can decode the identity and
concentration of odorants wafted on turbulent plumes of air. Yet, it must do so given access …

We first pose the Unsupervised Progressive Learning (UPL) problem: an online
representation learning problem in which the learner observes a non-stationary and …