Sabyasachi Shivkumar

Implicit vs. explicit choice promotes the combination vs. selection of sensorimotor memories under contextual uncertainty

This study investigates how implicit vs. explicit context processing affects sensorimotor memory expression under uncertainty, finding that implicit processing leads to belief-weighted combination while explicit processing favors categorical selection.

Bayesian causal inference unifies perceptual and neuronal processing of center-surround motion in 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.

How to reward animals based on their subjective percepts: A Bayesian approach to online estimation of perceptual biases.

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.

Bayesian Encoding and Decoding as Distinct Perspectives on Neural Coding

The paper distinguishes between Bayesian Encoding and Decoding frameworks, showing they can coexist and explain neural activity differently.

Flexible Perception of Tactile Cues in Multiple Reference Frames

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.

Ouvrai: Opening access to remote VR studies of human behavioral neuroscience

Ouvrai enables remote VR studies by providing an open-source platform with web technologies and integration tools for behavioral neuroscience research.

Task-uninformative visual stimuli improve auditory spatial discrimination: the ambiguous contribution of relative reliability

The paper tests how task-uninformative visual stimuli affect auditory spatial discrimination, finding no significant increase in effect size with shorter stimuli.

Modeling the Role of the Striatum in Non-Stationary Bandit Tasks

The paper presents two models to predict agent behavior in non-stationary bandit tasks: a theoretical Bayesian model and a neural model of the basal ganglia, showing their relationship and predictive performance.