Eghbal A. Hosseini

I am currently a postdoctoral associate in the lab of Evelina Fedorenko at MIT , where I also completed my Ph.D., studying the neural basis of language comprehension [12][11][10][9].
Previously, I worked with Mehrdad Jazayeri at MIT, focusing on the neural basis of timing and variability [8][7][6][5].
Before that, I worked with Wilsaan Joiner on sensorimotor learning and motor control [4][3][2].
I earned my bachelor's degree in Electrical Engineering from Iran University of Science and Technology, Tehran, Iran [1].
I am originally from Behbahan, a small town in southwest Iran.

[ Google Scholar ] [ Twitter ] [ Github ] [ CV ] [ ehoseini@mit.edu ]

Publications

[12]

Large language models implicitly learn to straighten neural sentence trajectories to construct a predictive representation of natural language. [ NeurIPS 2023 ] [ PDF ]

[11]

Neural populations in the language network differ in the size of their temporal receptive windows. [ Nature Human Behavior 2024 ] [ PDF ]

[10]

Artificial neural network language models predict human brain responses to language even after a developmentally realistic amount of training. [ Neurobiology of Language 2024 ] [ PDF ]

[9]

The neural architecture of language: Integrative reverse-engineering converges on a model for predictive processing. [ PNAS 2021 ] [ PDF ]

[8]

Reinforcement regulates timing variability in thalamus. [ Elife 2020 ] [ PDF ]

[7]

An open resource for non-human primate optogenetics. [ Neuron 2020 ] [ PDF ]

[6]

Flexible timing by temporal scaling of cortical responses. [ Nature Neuroscience 2018 ] [ PDF ]

[5]

Flexible sensorimotor computations through rapid reconfiguration of cortical dynamics. [ Neuron 2018 ] [ PDF ]

[4]

Dissociating effects of error size, training duration, and amount of adaptation on the ability to retain motor memories. [ Journal of Neurophysiology 2019 ] [ PDF ]

[3]

The decay of motor adaptation to novel movement dynamics reveals an asymmetry in the stability of motion state-dependent learning. [ PLoS Computational Biology 2017 ] [ PDF ]

[2]

The 24 hour savings of adaptation to novel movement dynamics initially reflects the recall of previous performance. [ Journal of Neurophysiology 2019 ] [ PDF ]

[1]

Noise resistant design of wavelet based multiresolution control. [ American Control Conference 2015 ] [ PDF ]