Towards a universal taxonomy of macro-scale functional human brain networks
The past decade has witnessed a proliferation of studies aimed at characterizing the human
connectome. These projects map the brain regions comprising large-scale systems …
connectome. These projects map the brain regions comprising large-scale systems …
The cingulate cortex and limbic systems for emotion, action, and memory
ET Rolls - Brain Structure and Function, 2019 - Springer
Evidence is provided for a new conceptualization of the connectivity and functions of the
cingulate cortex in emotion, action, and memory. The anterior cingulate cortex receives …
cingulate cortex in emotion, action, and memory. The anterior cingulate cortex receives …
The human imagination: the cognitive neuroscience of visual mental imagery
J Pearson - Nature reviews neuroscience, 2019 - nature.com
Mental imagery can be advantageous, unnecessary and even clinically disruptive. With
methodological constraints now overcome, research has shown that visual imagery involves …
methodological constraints now overcome, research has shown that visual imagery involves …
Understanding the effective receptive field in deep convolutional neural networks
We study characteristics of receptive fields of units in deep convolutional networks. The
receptive field size is a crucial issue in many visual tasks, as the output must respond to …
receptive field size is a crucial issue in many visual tasks, as the output must respond to …
Emotion and the prefrontal cortex: An integrative review.
The prefrontal cortex (PFC) plays a critical role in the generation and regulation of emotion.
However, we lack an integrative framework for understanding how different emotion-related …
However, we lack an integrative framework for understanding how different emotion-related …
Neuromorphic computing hardware and neural architectures for robotics
Neuromorphic hardware enables fast and power-efficient neural network–based artificial
intelligence that is well suited to solving robotic tasks. Neuromorphic algorithms can be …
intelligence that is well suited to solving robotic tasks. Neuromorphic algorithms can be …
Hierarchical active inference: a theory of motivated control
Motivated control refers to the coordination of behaviour to achieve affectively valenced
outcomes or goals. The study of motivated control traditionally assumes a distinction …
outcomes or goals. The study of motivated control traditionally assumes a distinction …
Functional anatomy of the inferior longitudinal fasciculus: from historical reports to current hypotheses
The inferior longitudinal fasciculus (ILF) is a long-range, associative white matter pathway
that connects the occipital and temporal-occipital areas of the brain to the anterior temporal …
that connects the occipital and temporal-occipital areas of the brain to the anterior temporal …
The default network and self‐generated thought: Component processes, dynamic control, and clinical relevance
Though only a decade has elapsed since the default network (DN) was first defined as a
large‐scale brain system, recent years have brought great insight into the network's adaptive …
large‐scale brain system, recent years have brought great insight into the network's adaptive …
Sentience and the origins of consciousness: From Cartesian duality to Markovian monism
This essay addresses Cartesian duality and how its implicit dialectic might be repaired using
physics and information theory. Our agenda is to describe a key distinction in the physical …
physics and information theory. Our agenda is to describe a key distinction in the physical …