As information acquisition terminals for artificial olfaction, chemiresistive gas sensors are
often troubled by their cross-sensitivity, and reducing their cross-response to ambient gases …

Artificial olfactory sensors that recognize patterns transmitted by olfactory receptors are
emerging as a technology for monitoring volatile organic compounds. Advances in statistical …

Animals have exquisite control of their bodies, allowing them to perform a diverse range of
behaviours. How such control is implemented by the brain, however, remains unclear …

We can now measure the connectivity of every neuron in a neural circuit, but we are still
blind to other biological details, including the dynamical characteristics of each neuron. The …

Computational modeling plays an increasingly important role in neuroscience, highlighting
the philosophical question of how computational models explain. In the particular case of …

Neuroscientists apply a range of analysis tools to recorded neural activity in order to glean
insights into how neural circuits drive behavior in organisms. Despite the fact that these tools …

What are the core learning algorithms in brains? Nativists propose that intelligence emerges
from innate domain-specific knowledge systems, whereas empiricists propose that …

Based on their construction or working principles, biosensors, biomimetic sensors, and
bioapplicable sensors may have been understood differently, but everyone acknowledges …

We propose a new model for a neuromorphic olfactory analyzer based on memristive
synapses. The model comprises a layer of receptive neurons that perceive various odors …

Deep generative models, such as variational autoencoders (VAE), have gained increasing
attention in computational biology due to their ability to capture complex data manifolds …