This useful study presents a biologically realistic, large-scale cortical model of the rat's non-barrel somatosensory cortex, investigating synaptic plasticity of excitatory connections under varying ...

Active vision dynamically refines spatiotemporal neural representations, optimising visual processing through scanning behaviour and non-associative learning, providing insights into efficient sensory ...

Human beings have enjoyed a unique and lonely role among intelligences. Do other minds exist in life's other kingdoms? With ...

Up to half of patients with Crohn's disease, an inflammatory bowel disease, develop a complication called fibrosis, where the gut becomes scarred and obstructed, causing pain and bloating. Currently, ...

Why do some older adults easily remember the name of a new acquaintance or the location of their keys, while others struggle ...

To solve this shortcoming, we developed a biologically more realistic model class 'All topographic neural networks,' in which feature selectivity is spatially organized across a 'cortical sheet,' i.e.

The performance of your neural net will be judged using the mAP criterium defined in the PASCAL VOC 2012 competition. We simply adapted the official Matlab code into Python (in our tests they both ...

A large portion of artificial neurons displayed body-part centric responses that shift with the location of the limb. Receptive fields of each artificial neuron are shown as color maps. Units with ...

In the last decade, the increase of active and passive earth observation satellites has provided us with more remote sensing data. This fact has led to enhanced interest in the fusion of different ...

Saturday Citations: Chatbots easily tricked; better strength training; dynamics of a neural 'reward map' by Chris Packham, Phys.org edited by Gaby Clark, reviewed by Robert Egan Editors' notes ...

In this paper we present a novel and general method to accelerate convolutional neural network (CNN) inference by taking advantage of feature map sparsity. We experimentally demonstrate that a highly ...

In addition, NeuroSpector supports many essential features of DNN accelerators and workloads, including group convolutions, multi-chip accelerators, data bypassing in buffers, unified/separate buffer ...