Artificial neural networks (ANNs) inspired by biology are beginning to be widely used to
model behavioural and neural data, an approach we call 'neuroconnectionism'. ANNs have …

Neuroscientists today can measure activity from more neurons than ever before, and are
facing the challenge of connecting these brain-wide neural recordings to computation and …

Extensive sampling of neural activity during rich cognitive phenomena is critical for robust
understanding of brain function. Here we present the Natural Scenes Dataset (NSD), in …

Map** behavioural actions to neural activity is a fundamental goal of neuroscience. As our
ability to record large neural and behavioural data increases, there is growing interest in …

Abstract Protein-Protein Interactions (PPIs) are fundamental means of functions and
signalings in biological systems. The massive growth in demand and cost associated with …

Convolutional neural network (CNN) has shown dissuasive accomplishment on different
areas especially Object Detection, Segmentation, Reconstruction (2D and 3D), Information …

INTRODUCTION Electrode arrays based on complementary metal-oxide semiconductor
silicon fabrication technology, such as Neuropixels probes, have enabled recordings of …

Penetrating flexible electrode arrays can simultaneously record thousands of individual
neurons in the brains of live animals. However, it has been challenging to spatially map and …

The isocortex and hippocampal formation (HPF) in the mammalian brain play critical roles in
perception, cognition, emotion, and learning. We profiled∼ 1.3 million cells covering the …

Recent neurophysiological and neuroanatomical studies suggest a close interaction
between sensory and motor processes across the neocortex. Here, I propose that the …