BashivanLab Publications

2025

Real-time fine finger motion decoding for transradial amputees with surface electromyography.
Zihan Weng, Yang Xiao, Peiyang Li, Chanlin Yi, Pouya Bashivan, Hailin Ma, Guang Yao, Yuan Lin, Fali Li, Dezhong Yao, Jingming Hou, Yangsong Zhang, Peng Xu. Neural Networks

Caption This, Reason That: VLMs Caught in the Middle.
Zihan Weng, Lucas Gomez, Taylor Whittington Webb, Pouya Bashivan. arXiv preprint arXiv:2505.21538

Building spatial world models from sparse transitional episodic memories.
Zizhan He, Maxime Daigle, Pouya Bashivan. arXiv preprint arXiv:2505.13696

Burst firing optimizes invariant coding of natural communication signals by electrosensory neural populations.
Michael G Metzen, Amin Akhshi, Pouya Bashivan, Anmar Khadra, Maurice J Chacron. iScience

Learning adversarially robust kernel ensembles with kernel average pooling.
Pouya Bashivan, Reza Bayat, Adam Ibrahim, Amirozhan Dehghani, Yifei Ren. Expert Systems with Applications

Spatially and non-spatially tuned hippocampal neurons are linear perceptual and nonlinear memory encoders.
Maxime Daigle, Kaicheng Yan, Benjamin Corrigan, Roberto Gulli, Julio Martinez-Trujillo, Pouya Bashivan. bioRxiv

Emergent brain-like representations in a goal-directed neural network model of visual search.
Motahareh Pourrahimi, Pouya Bashivan. bioRxiv

2024

Geometry of naturalistic object representations in recurrent neural network models of working memory.
Xiaoxuan Lei, Takuya Ito, Pouya Bashivan. Advances in Neural Information Processing Systems

Rgp: Achieving memory-efficient model fine-tuning via randomized gradient projection.
Ali Saheb Pasand, Pouya Bashivan. NeurIPS Efficient Natural Language and Speech Processing Workshop

Improving Adversarial Robustness in Vision-Language Models with Architecture and Prompt Design.
Rishika Bhagwatkar, Shravan Nayak, Pouya Bashivan, Irina Rish. Conference on Findings of the Association for Computational Linguistics: EMNLP 2024

Local lateral connectivity is sufficient for replicating cortex-like topographical organization in deep neural networks.
Xinyu Qian, Amir Ozhan Dehghani, Asa Borzabadi Farahani, Pouya Bashivan. bioRxiv

Towards Adversarially Robust Vision-Language Models: Insights from Design Choices and Prompt Formatting Techniques.
Rishika Bhagwatkar, Shravan Nayak, Reza Bayat, Alexis Roger, Daniel Z Kaplan, Pouya Bashivan, Irina Rish. arXiv

iWISDM: Assessing instruction following in multimodal models at scale.
Xiaoxuan Lei, Lucas Gomez, Hao Yuan Bai, and Pouya Bashivan. Conference on Lifelong Learning Agents (CoLLAs)

Credit-based self organizing maps: training deep topographic networks with minimal performance degradation
Amirozhan Dehghani, Xinyu Qian, Asa Farahani, Pouya Bashivan. Conference on The Thirteenth International Conference on Learning Representations

A hybrid CNN-transformer approach for continuous fine finger motion decoding from sEMG signals.
Zihan Weng, Xiabing Zhang, Yufeng Mou, Chanlin Yi, Fali Li, Pouya Bashivan, Peng Xu. Conference on 2024 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)

How well do models of visual cortex generalize to out of distribution samples?.
Yifei Ren and Pouya Bashivan. PLOS Computational Biology

2023

How well do models of visual cortex generalize to out of distribution samples?.
Yifei Ren and Pouya Bashivan. BioRxiv

Using modular connectome-based predictive modeling to reveal brain-behavior relationships of individual differences in working memory.
Huayi Yang, Junjun Zhang, Zhenlan Jin, Pouya Bashivan and Ling Li. Brain Structure and Function

2022

Towards out-of-distribution adversarial robustness.
Adam Ibrahim, Charles Guille-Escuret, Ioannis Mitliagkas, Irina Rish, David Krueger, Pouya Bashivan. arXiv

Learning Robust Kernel Ensembles with Kernel Average Pooling.
Pouya Bashivan, Adam Ibrahim, Amirozhan Dehghani and Yifei Ren. arXiv

2021

Computational models of category-selective brain regions enable high-throughput tests of selectivity.
N Apurva Ratan Murty, Pouya Bashivan, Alex Abate, James J DiCarlo and Nancy Kanwisher. Nature Communications

Adversarial Feature Desensitization
Pouya Bashivan, Reza Bayat, Adam Ibrahim, Kartik Ahuja, Mojtaba Faramarzi, Touraj Laleh, Blake Aaron Richards and Irina Rish. NeurIPS

2019

A Neurobiological Evaluation Metric for Neural Network Model Search, Computer Vision and Pattern Recognition.
N Blanchard, J Kinnison, B RichardWebster, P Bashivan and WJ Scheirer. CVPR.

Teacher Guided Architecture Search
Bashivan P, Tensen M, DiCarlo J J ICCV .

Neural Population Control via Deep Image Synthesis
Bashivan P, Kar K, DiCarlo J J. Science.

Brain-like object recognition with high-performing shallow recurrent ANNs
Schrimpf M, Kubilius J, Hong H, Majaj N J, Rajalingham R, Issa E B, Kar K, Bashivan P, Prescott-Roy J,Schmidt K, Yamins DLK, DiCarlo J J. NeurIPS.

2018

Continual Learning with Self-Organizing Maps
Bashivan P, Schrimpf M, Ajemian R, Rish I, Riemer M, Tu Y, NeurIPS Workshop on Continual Learning.

Single units in adeep neural network functionally correspond with neurons in the brain: preliminary results
Arend L, Han Y, Schrimpf M, Bashivan P, Kar K, Poggio T, DiCarlo JJ, Boix X. Center for Brains, Minds and Machines (CBMM)

Large-scale, High-resolutionComparison of the core visual object recognition behavior of humans, monkeys, and state-of-the-art deep artificial neural networks
Rajalingham R, Issa EB, Bashivan P, Kar K, Schmidt K, DiCarlo JJ. Journal of Neuroscience.

2017

Learning Neural Markers ofSchizophrenia Disorder Using Recurrent Neural Networks
Dakka J, Bashivan P, Gheiratmand M, Rish I, Jha S, Greiner R. NIPS workshop on Machine Learning for Health

Learning Stable and Predictive Network-based Patterns of Schizophrenia and its Clinical Symptoms
Gheiratmand M, Rish I, Cecchi G, Brown M, Greiner R, Polosecki P, Bashivan P, Greenshaw A,Ramasubbu R, and Dursun R. Nature Schizophrenia.

Temporal Progression in Functional Connectivity DeterminesIndividual Differences in Working Memory Capacity
Bashivan P, Yeasin M, Bidelman GM. International Joint Conference on Neural Networks (IJCNN).

2016

Learning Representations from EEG with DeepRecurrent-Convolutional Neural Networks
Bashivan P, Rish I, Yeasin M, Codella NC. International Conference on Learning Representations (ICLR).

2015

Mental State Recognition via Wearable EEG
Bashivan P, Rish I, Heisig S. Proceedings of NIPSworkshop on Machine Learning and Interpretation in Neuroimaging (MLINI15).

Single trial prediction of normal and excessive cognitive loadthrough EEG feature fusion
Bashivan P, Yeasin M, Bidelman GM. Proceedings of IEEE Signal Processing in Medicine and Biology (SPMB).

2014

Modulation of Brain Connectivity by Memory Load in a Working Memory Network
Bashivan P, Bidelman GM, Yeasin M. Proceedings of IEEE Symposium Series on Computational Intelligence (SSCI).

Spectrotemporal dynamics of the EEG during workingmemory encoding and maintenance predicts individual behavioral capacity
Bashivan P, Bidelman GM, Yeasin M. Eur. Journal of Neuroscience.

2013

Neural correlates of visual working memory load throughunsupervised spatial filtering of EEG
Bashivan P, Bidelman GM, Yeasin M. Proceedings of NIPS workshop on Machine Learning and Interpretation in Neuroimaging (MLINI13).

2012

Improved Switching for Multiple Model Adaptive Controller in Noisy Environment
Bashivan P and Fatehi A. Journal of Process Control.

2008

Multiple-model control of pH neutralization plant using the SOM neural networks
Bashivan P, Fatehi A, Peymani E. Proceedings of IEEE Conference on Control, Communication and Automation (INDICON).

An Experimental Comparison of Adaptive Controllers on a pH Neutralization Pilot Plant Peymani E, Fatehi A, Bashivan P, and Khaki–Sedigh A. Proceedings of IEEE Conference on Control, Communication and Automation (INDICON).