Linear modeling of neurophysiological responses to speech and other continuous stimuli: methodological considerations for applied research
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 …
increase in the use of linear modeling techniques for studying the processing of natural …
Should a few null findings falsify prefrontal theories of conscious perception?
Is activity in prefrontal cortex (PFC) critical for conscious perception? Major theories of
consciousness make distinct predictions about the role of PFC, providing an opportunity to …
consciousness make distinct predictions about the role of PFC, providing an opportunity to …
High-resolution image reconstruction with latent diffusion models from human brain activity
Reconstructing visual experiences from human brain activity offers a unique way to
understand how the brain represents the world, and to interpret the connection between …
understand how the brain represents the world, and to interpret the connection between …
[HTML][HTML] Electrophysiological correlates of semantic dissimilarity reflect the comprehension of natural, narrative speech
People routinely hear and understand speech at rates of 120–200 words per minute [1, 2].
Thus, speech comprehension must involve rapid, online neural mechanisms that process …
Thus, speech comprehension must involve rapid, online neural mechanisms that process …
A neuromarker for drug and food craving distinguishes drug users from non-users
Craving is a core feature of substance use disorders. It is a strong predictor of substance use
and relapse and is linked to overeating, gambling, and other maladaptive behaviors …
and relapse and is linked to overeating, gambling, and other maladaptive behaviors …
Neural encoding and decoding with deep learning for dynamic natural vision
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 …
able to explain cortical responses to static pictures at ventral-stream areas. Here, we further …
The default network dominates neural responses to evolving movie stories
Neuroscientific studies exploring real-world dynamic perception often overlook the influence
of continuous changes in narrative content. In our research, we utilize machine learning …
of continuous changes in narrative content. In our research, we utilize machine learning …
Bioelectric networks: the cognitive glue enabling evolutionary scaling from physiology to mind
M Levin - Animal Cognition, 2023 - Springer
Each of us made the remarkable journey from mere matter to mind: starting life as a
quiescent oocyte (“just chemistry and physics”), and slowly, gradually, becoming an adult …
quiescent oocyte (“just chemistry and physics”), and slowly, gradually, becoming an adult …
[LIBRO][B] Cognitive psychology: A student's handbook
MW Eysenck, MT Keane - 2020 - taylorfrancis.com
The fully updated eighth edition of Cognitive Psychology: A Student's Handbook provides
comprehensive yet accessible coverage of all the key areas in the field ranging from visual …
comprehensive yet accessible coverage of all the key areas in the field ranging from visual …
Generative adversarial networks for reconstructing natural images from brain activity
We explore a method for reconstructing visual stimuli from brain activity. Using large
databases of natural images we trained a deep convolutional generative adversarial …
databases of natural images we trained a deep convolutional generative adversarial …