Richard A. Andersen

A Unified World Model in Human Posterior Parietal Cortex

The paper identifies the superior parietal lobule as a substrate for physical world modeling by showing neurons that predict physical events and encode intended hand actions.

The Compositional Encoding of Hand-Eye Coordinated Movements for Single Neurons in the Posterior Parietal Cortex

The paper shows that PPC neurons encode hand-eye movements additively, allowing modular decoding of coordinated movements.

Human single-neuron correlates of somatosensation

The paper investigates the neural correlates of conscious tactile perception by analyzing single-neuron activity in PPC and S1 during vibrotactile stimulation.

Neural encoding of grasp and object properties in the posterior parietal and motor cortices of the cortical grasping network in tetraplegic humans

This study investigates how grasp and object properties are encoded in the cortical grasping network of tetraplegic humans, showing separable neural representations in different brain regions that could improve brain-machine interface performance.

Hierarchical and Context-Dependent Encoding of Actions in Human Posterior Parietal and Motor Cortex

This study investigates how human motor and parietal cortex encode actions during intention and observation, finding context-dependent encoding in parietal cortex and intention-specific encoding in motor cortex.

Functional ultrasound imaging through a human cranial window for mesoscopic mapping of motor effector encoding within the sensorimotor cortex

This study demonstrates that functional ultrasound imaging can reliably map motor effector encoding in the human sensorimotor cortex at submillimeter resolution, enabling single-trial decoding of movement-related activity.

VARS-fUSI: Variable Sampling for Fast and Efficient Functional Ultrasound Imaging using Neural Operators

VARS-fUSI improves functional ultrasound imaging efficiency by reducing sampling time and rate while maintaining signal quality and enabling cross-species generalization.

Neural subspaces of imagined movements in parietal cortex remain stable over several years in humans.

This study shows that neural subspaces for imagined movements in the parietal cortex remain stable over several years in humans, improving the long-term reliability of brain-machine interfaces.

Functional ultrasound neuroimaging reveals mesoscopic organization of saccades in the lateral intraparietal area of posterior parietal cortex

The paper uses functional ultrasound imaging to map directional tuning in the lateral intraparietal area, revealing mesoscopic organization of saccade directions across posterior parietal cortex.

A window to the brain: ultrasound imaging of human neural activity through a permanent acoustic window

This paper introduces a permanent acoustic window for high-resolution, non-invasive ultrasound imaging of human brain activity, demonstrating its use in mapping cortical responses to finger movement.

Visual context affects the perceived timing of tactile sensations elicited through intra-cortical microstimulation

This study shows that visual context influences the perceived timing of tactile sensations from intra-cortical microstimulation, indicating temporal misalignment in multisensory integration.

Decoding Motor Plans Using a Closed-Loop Ultrasonic Brain-Machine Interface

This study demonstrates a closed-loop ultrasonic brain-machine interface that enables nonhuman primates to control movements using real-time neurovascular activity predictions.

Neural representations of economic decision variables in human posterior parietal cortex

This study investigates how single neurons in the human posterior parietal cortex represent numeric values and decision variables during a complex economic game.

S1 represents multisensory contexts and somatotopic locations within and outside the bounds of the cortical homunculus

This study investigates how vision modulates S1 activity during tactile stimulation and shows that S1 represents both arm and finger touches, with stronger encoding for arm touches.

Preserved motor representations after paralysis

The paper shows that motor representations remain stable after paralysis, enabling brain-computer interfaces to restore motor functions using preserved neural patterns.

Cognition through internal models: Mirror neurons as one manifestation of a broader mechanism

The paper investigates how neural responses to observed and felt sensations are mediated by shared compositional building blocks rather than mirror neurons.

Decoding grasp and speech signals from the cortical grasp circuit in a tetraplegic human

This study decodes grasp and speech signals from high-level cortical areas in a tetraplegic human, showing that SMG and PMv can decode grasp intentions, while SMG also encodes speech.

Single Trial Decoding of Movement Intentions Using Functional Ultrasound Neuroimaging

This paper demonstrates the feasibility of using functional ultrasound (fUS) imaging to decode movement intentions for brain-machine interfaces in non-human primates.

NEURAL ENCODING OF FELT AND IMAGINED TOUCH WITHIN HUMAN POSTERIOR PARIETAL CORTEX

This study shows that neurons in the human posterior parietal cortex encode both felt and imagined touch, suggesting a role in semantic processing and sensory anticipation.

A shared neural substrate for action verbs and observed actions in human posterior parietal cortex.

The paper shows that action verbs and observed actions share a neural substrate in human posterior parietal cortex, with invariant and idiosyncratic responses across views.

Neural correlates of cognitive motor signals in primary somatosensory cortex.

The paper shows that single units in human primary somatosensory cortex encode imagined reaches related to limb positions during a cognitive motor task.

Deep Multi-State Dynamic Recurrent Neural Networks Operating on Wavelet Based Neural Features for Robust Brain Machine Interfaces

This paper introduces a deep multi-state DRNN for BMIs that outperforms existing methods using wavelet-based features on single- and multi-day data.