Mohammad R. Rezaei

Inferring Cognitive State Underlying Conflict Choices in Verbal Stroop Task Using Heterogeneous Input Discriminative-Generative Decoder Model

The paper introduces a model to infer cognitive states during conflict processing in a Stroop task using neural and behavioral data from Parkinson's patients.

Robust Removal of Slow Artifactual Dynamics Induced by Deep Brain Stimulation in Local Field Potential Recordings using SVD-based Adaptive Filtering

This paper introduces an SVD-based adaptive filtering method to remove both fast and slow artifacts from local field potentials during DBS, outperforming existing techniques on synthetic and real data.

Real-Time Point Process Filter for Multidimensional Decoding Problems Using Mixture Models

The paper proposes a computationally efficient approximate point process filter using mixture models for real-time decoding of neural spiking activity in multidimensional spaces.

Deep Recurrent Neural Network and Point Process Filter Approaches in Multidimensional Neural Decoding Problems

This paper systematically compares LSTM and state-space point-process models for neural decoding using rat place cell data, evaluating their performance, efficiency, and generalizability.

Bayesian Decoder Models with a Discriminative Observation Process

The paper introduces a direct decoder model for Bayesian state-space modeling to decode neural activity without an encoding step, achieving comparable performance to existing methods.