This valuable study presents a plastic recurrent spiking network model that spontaneously generates repeating neuronal sequences under unstructured inputs. The authors provide solid evidence that, ...
The advent of high-density recording technologies, such as Neuropixels and large-scale calcium imaging, has provided an unprecedented look into the ...
This study provides an important and biologically plausible account of how human perceptual judgments of heading direction are influenced by a specific pattern of motion in optic flow fields known as ...
Foundation model-powered dual-module system establishes a new performance benchmark for AI-driven peptide drug ...
A new review examines how insertion and deletion (indel) errors disrupt data synchronization in modern communication systems.
A new review finds that AI is no longer being treated simply as a technical add-on for solar and wind prediction, but ...
Many women struggle with body-image issues, which may be linked to a painful schema in the brain causing body dysmorphia and ...
Opioid dependence, characterized by high relapse rates and substantial social harm, represents a major global public health ...
Morning Overview on MSN
Study finds inhibitory neurons can generate rhythmic movement patterns
When a fruit fly gets dust on its body, it launches into a precise cleaning routine, sweeping and rubbing its legs in ...
The multiple condition (MC)-retention model is an uncertainty-aware graph-based neural network that predicts liquid chromatography (LC) retention times across multiple column chem ...
A recent publication from IMDEA Materials Institute and the Technical University of Madrid (UPM) presents a major step ...
Intel, IBM and MythWorx are shrinking AI to run on 20 watts, the same power as the human brain. Inside the neuromorphic race ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results