Over the past decade fMRI researchers have developed increasingly sensitive techniques
for analyzing the information represented in BOLD activity. The most popular of these …

Major obstacles faced by neuroscientists in attempting to unravel the complexity of brain
function include both the heterogeneity of brain tissue (with a multitude of cell types present in …

Most diseases are the consequence of the breakdown of cellular processes, but the relationships
among genetic/epigenetic defects, the molecular interaction networks underlying them, …

… Inglis for assistance with MRI, K. Hansen for assistance with retinotopic mapping, D. Woods
… Kay et al. take this approach a tantalizing step further. Their newly developed decoding …

Our understanding of the cellular implementation of systems-level neural processes like
action, thought and emotion has been limited by the availability of tools to interrogate specific …

One of the key elements in qualitative data analysis is the systematic coding of text (Strauss
and Corbin 1990: 5740; Miles and Huberman 1994: 56). Codes are the building blocks for …

… k show spike waveforms with (blue) or without (grey) illumination. Scale bars apply to insets
in f, g, j and k. … k, Example of a SNr neuron recorded from a D2-ChR2 mouse that was excited …

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 which …

Recent studies have used fMRI signals from early visual areas to reconstruct simple geometric
patterns. Here, we demonstrate a new Bayesian decoder that uses fMRI signals from …

… We determine k t by requiring that the error in the solution to the Schrödinger equation for
the propagator vanishes to O(ℏ︀), where . In analogy to the usual derivation of the Wentzel-…