Cognitive neuroscience, in particular research on speech and language, has seen an
increase in the use of linear modeling techniques for studying the processing of natural …

Humans have a unique ability to produce and consume rich, complex, and varied language
in order to communicate ideas to one another. Still, outside of natural reading, the most …

Naturalistic experimental paradigms in neuroimaging arose from a pressure to test the
validity of models we derive from highly-controlled experiments in real-world contexts. In …

Understanding how brains process sensory signals in natural environments is one of the key
goals of twenty-first century neuroscience. While brain imaging and invasive …

Attention as a cognition ability plays a crucial role in perception which helps humans to
concentrate on specific objects of the environment while discarding others. In this paper …

Converging evidence suggests that the primate ventral visual pathway encodes increasingly
complex stimulus features in downstream areas. We quantitatively show that there indeed …

The human brain achieves visual object recognition through multiple stages of linear and
nonlinear transformations operating at a millisecond scale. To predict and explain these …

What happens in our brain when we make a decision? What triggers a neuron to send out a
signal? What is the neural code? This textbook for advanced undergraduate and beginning …

Convolutional neural network (CNN) driven by image recognition has been shown to be
able to explain cortical responses to static pictures at ventral-stream areas. Here, we further …

The primate visual system achieves remarkable visual object recognition performance even
in brief presentations, and under changes to object exemplar, geometric transformations …