AIMC Topic: Animals

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Postural behavior recognition of captive nocturnal animals based on deep learning: a case study of Bengal slow loris.

Scientific reports
The precise identification of postural behavior plays a crucial role in evaluation of animal welfare and captive management. Deep learning technology has been widely used in automatic behavior recognition of wild and domestic fauna species. The Asian...

Sideways crab-walking is faster and more efficient than forward walking for a hexapod robot.

Bioinspiration & biomimetics
Articulated legs enable the selection of robot gaits, including walking in different directions such as forward or sideways. For longer distances, the best gaits might maximize velocity or minimize the cost of transport (COT). While animals often hav...

A Feed-Forward Neural Network for Increasing the Hopfield-Network Storage Capacity.

International journal of neural systems
In the hippocampal dentate gyrus (DG), pattern separation mainly depends on the concepts of 'expansion recoding', meaning random mixing of different DG input channels. However, recent advances in neurophysiology have challenged the theory of pattern ...

Measuring inter-individual differences in behavioural types of gilthead seabreams in the laboratory using deep learning.

PeerJ
Deep learning allows us to automatize the acquisition of large amounts of behavioural animal data with applications for fisheries and aquaculture. In this work, we have trained an image-based deep learning algorithm, the Faster R-CNN (Faster region-b...

Increasing angular sampling through deep learning for stationary cardiac SPECT image reconstruction.

Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology
BACKGROUND: The GE Discovery NM (DNM) 530c/570c are dedicated cardiac SPECT scanners with 19 detector modules designed for stationary imaging. This study aims to incorporate additional projection angular sampling to improve reconstruction quality. A ...

Deep learning with self-supervision and uncertainty regularization to count fish in underwater images.

PloS one
Effective conservation actions require effective population monitoring. However, accurately counting animals in the wild to inform conservation decision-making is difficult. Monitoring populations through image sampling has made data collection cheap...

Replacement of animal testing by integrated approaches to testing and assessment (IATA): a call for in vivitrosi.

Archives of toxicology
Alternative methods to animal use in toxicology are evolving with new advanced tools and multilevel approaches, to answer from one side to 3Rs requirements, and on the other side offering relevant and valid tests for drugs and chemicals, considering ...

Using EMG signals to assess proximity of instruments to nerve roots during robot-assisted spinal surgery.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: Detecting neural threats using electromyography (EMG) has gained recognition in the field of spinal surgery. To provide an efficient approach to detect neural threats during the operation of the spinal surgery robot, an automated method b...

Toward Cognitive Navigation: Design and Implementation of a Biologically Inspired Head Direction Cell Network.

IEEE transactions on neural networks and learning systems
As a vital cognitive function of animals, the navigation skill is first built on the accurate perception of the directional heading in the environment. Head direction cells (HDCs), found in the limbic system of animals, are proven to play an importan...

Continuous Online Adaptation of Bioinspired Adaptive Neuroendocrine Control for Autonomous Walking Robots.

IEEE transactions on neural networks and learning systems
Walking animals can continuously adapt their locomotion to deal with unpredictable changing environments. They can also take proactive steps to avoid colliding with an obstacle. In this study, we aim to realize such features for autonomous walking ro...