Gregory C. DeAngelis

This study analyzes 59 macaque studies to assess factors influencing choice probability, finding consistent patterns across tasks and regions with exceptions in bistable percepts and area V1.

The paper demonstrates how the visual system infers viewing geometry from optic flow and attributes image motion to self-motion or depth structure, showing perceptual biases and neural correlates in macaque area MT.

This paper shows that Bayesian causal inference explains both perceptual and neuronal center-surround motion effects in area MT by linking motion integration and contextual response modulation.

The paper develops a Bayesian method to estimate perceptual biases in animals during task performance and adjusts rewards based on these estimates to minimize bias distortion.

This study identifies a neural mechanism in macaque visual cortex that biases activity in area MT by peripheral optic flow, contributing to perceptual biases associated with flow parsing.

The paper shows that neural responses in the visual system shift from optimizing information preservation to optimizing perceptual discrimination, driven by changes in tuning curve preferences for binocular disparity.

This study shows how reference frame demands shape touch perception by integrating tactile and proprioceptive cues in a task-specific manner, with faster reaction times and lower decision thresholds in a Sternum-centric task.

The paper investigates causal inference during closed-loop navigation by examining how humans disambiguate self- and object-motion, showing misattribution patterns and their dependence on motion conditions and target location.

The paper investigates how scene-relative object motion affects depth perception during self-motion, finding biases in depth judgments based on motion direction and visual cues.

The paper identifies a neural mechanism in macaque area MT that detects scene-relative object motion during self-motion by responding to incongruent depth tuning for motion parallax and binocular disparity cues.

The paper investigates how MT neurons in macaques encode depth selectivity from motion parallax by analyzing interactions between retinal and eye velocities, finding that some neurons show partial coordinate transformation toward head coordinates.

This study quantifies motion perception in marmosets and compares it to humans, finding similar speed-accuracy trade-offs but shorter non-decision times in marmosets.

The paper identifies two key features of neural population responses that influence information encoding and behavioral performance.

The paper compares neural responses in V3A and CIP during a slant discrimination task, finding similar orientation sensitivity but distinct choice-related activity in CIP.

The paper investigates whether neurons in the macaque posterior parietal cortex encode self-motion speed and finds that a fraction of neurons do so linearly, supporting path integration.

The paper infers decoding strategies for two cortical areas in macaque monkeys using a mathematical framework that combines neural activity and inactivation experiments to resolve conflicting conclusions about brain function.

This study uses a dynamic Bayesian observer model to show that biases in visual path integration arise from a slow-speed prior rather than imperfect integration.

This study measures neuronal and behavioral thresholds during rotation discrimination in macaques, finding similar thresholds and significant neuronal correlations but no trial-by-trial activity-behavior link.