Institute for Adaptive & Neural Computation
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The Institute for Adaptive and Neural Computation (ANC) fosters the study of adaptive processes in both artificial and biological systems. The Institute encourages interdisciplinary and collaborative work bringing together the traditional disciplines of neuroscience, cognitive science, computer science, mathematics and statistics. Combined study of the adaptive nature of artificial and biological systems facilitates the many benefits accruing from treating essentially the same problem from different perspectives.
Items in this Collection
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Persistent animal identification leveraging non-visual markers: Tracking and Identification Dataset - Detections Subset (TIDe-D)
This is the Detections subset of the Tracking and Identification Dataset (TIDe) as described in our paper "Persistent Animal Identification Leveraging Non-Visual Markers" [1] and used in the PhD Thesis "Automated Identification ... -
Persistent animal identification leveraging non-visual markers: Tracking and Identification Dataset - Identifications Subset (TIDe-I)
This DataShare dataset pertains to Identification of group-housed mice as documented in the Thesis "Automated Identification and Behaviour Classification for Modelling Social Dynamics in Group-Housed Mice" (2023) by Michael ... -
Annotated Behaviour and Observability Dataset (ABODe)
This DataShare dataset pertains to behaviour classification for group-housed mice as documented in the Thesis "Automated Identification and Behaviour Classification for Modelling Social Dynamics in Group-Housed Mice" (2023) ... -
Dataset of journal paper "IoT for beyond-the-laboratory prosthetics research"
This dataset comprises the prosthetic control data and user feedback collected by our cloud server during the pick and place experiment and a sample code to visualize the data. -
Datasets of journal paper "Arduino-Based Myoelectric Control: Towards Longitudinal Study of Prosthesis Use"
This dataset comprises the mean absolute value (MAV) to draw Figure 6 and the normalized MAV to draw Figure 7 in paper "Arduino-Based Myoelectric Control: Towards Longitudinal Study of Prosthesis Use". -
IDEAL Household Energy Dataset
The IDEAL Household Energy Dataset comprises data from 255 UK homes. Alongside electric and gas data from each home the corpus contains individual room temperature and humidity readings and temperature readings from the ... -
CINIC-10 Is Not ImageNet or CIFAR-10
CINIC-10 is an augmented extension of CIFAR-10. It contains the images from CIFAR-10 (60,000 images, 32x32 RGB pixels) and a selection of ImageNet database images (210,000 images downsampled to 32x32). It was compiled as ... -
Macro-socioeconomic-energy Model for Technology Pathways, 7see-GB, 2017
In a resource-constrained world with growing population and demand for energy, goods, and services with commensurate environmental impacts, we need to understand how these trends relate to various aspects of economic ... -
GitHub Java Corpus
The GitHub Java Corpus is a snapshot of all open-source Java code on GitHub in October 2012 that is contained in open-source projects that at the time had at least one fork. It contains code from 14,785 projects amounting ... -
Software and data for endoscopic sensing of alveolar pH
Previously unobtainable measurements of alveolar pH were obtained using an endoscope-deployable optrode. The pH sensing was achieved using functionalized gold nanoshell sensors and surface enhanced Raman spectroscopy (SERS). ... -
Robust Data-driven Macro-socioeconomic-energy Model, 7see-GB, 2016
In a resource-constrained world with growing population and demand for energy, goods, and services with commensurate environmental impacts, we need to understand how these trends relate to various aspects of economic ... -
Software to assess the utility of autofluorescence-based pulmonary optical endomicroscopy to predict the malignant potential of solitary pulmonary nodules in humans
Solitary pulmonary nodules are common, often incidental findings on chest CT scans. The investigation of pulmonary nodules is time-consuming and often leads to protracted follow-up with ongoing radiological surveillance, ... -
Code for Factorial Switching Linear Dynamical System (FSLDS) Monitoring of Intensive Care Unit Data
The submission contains: (1) realtime - C++ code for performing Factoral Switching Linear Dynamical System (FSLDS) inference in real time on CSV input files; (2) matlab - Matlab code used for offline parameter estimation ... -
Piezo is essential for amiloride-sensitive stretch-activated mechanotransduction in larval Drosophila dorsal bipolar dendritic sensory neurons.
Stretch-activated afferent neurons, such as those of mammalian muscle spindles, are essential for proprioception and motor co-ordination, but the underlying mechanisms of mechanotransduction are poorly understood. The ... -
Robust Data-driven Macro-socioeconomic-energy Model, 7see-GB
In a resource-constrained world with growing population and demand for energy, goods, and services with commensurate environmental impacts, we need to understand how these trends relate to various aspects of economic ...
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