Nature Search

Sensory–motor transformations for speech occur bilaterally

Direct neural recordings from electrodes over bilateral cortices show that sensory–motor transformations for speech occur bilaterally; neural responses are robust during both perception and production in an overt word-repetition task, and bilateral sensory–motor responses can perform transformations between speech-perception and speech-production representations during a non-word transformation task.

Gregory B. Cogan
Thomas Thesen
Bijan Pesaran
Research15 Jan 2014
Nature

Volume: 507, P: 94-98
Author Correction: Dynamical flexible inference of nonlinear latent factors and structures in neural population activity

Hamidreza Abbaspourazad
Eray Erturk
Maryam M. Shanechi
Amendments and CorrectionsOpen Access15 Jan 2025
Nature Biomedical Engineering

Volume: 9, P: 283
Investigating large-scale brain dynamics using field potential recordings: analysis and interpretation

This article presents best practices on how field potential recordings (EEG, MEG, ECoG and LFP) can be analyzed to identify large-scale brain dynamics, and highlights issues and limitations of interpretation.

Bijan Pesaran
Martin Vinck
Ramesh Srinivasan
Reviews25 Jun 2018
Nature Neuroscience

Volume: 21, P: 903-919
Free choice activates a decision circuit between frontal and parietal cortex

In primates, planning movements to selected targets involves a number of areas in anatomically connected frontal and parietal cortex, but how these areas interact is poorly understood. This paper simultaneously records spikes and local field potentials in dorsal pre-motor and parietal reach region and find that correlations between the two areas increase when monkeys choose which movement among several alternatives to make, rather than when they are following instructions.

Bijan Pesaran
Matthew J. Nelson
Richard A. Andersen
Research16 Apr 2008
Nature

Volume: 453, P: 406-409
Modulation of inhibitory communication coordinates looking and reaching

During combined looking and reaching movements, neurons in the reach region of the brain can inhibit those in the saccade region to improve coordination.

Maureen A. Hagan
Bijan Pesaran
Research20 Apr 2022
Nature

Volume: 604, P: 708-713
A subdural CMOS optical device for bidirectional neural interfacing

An implantable complementary metal–oxide–semiconductor (CMOS) optical probe, which is thin enough to be placed in the subdural space of the primate brain, can be used for imaging and optical stimulation in a mouse model, and can be used to decode reach movement speed in a non-human primate.

Eric H. Pollmann
Heyu Yin
Kenneth L. Shepard
Research12 Aug 2024
Nature Electronics

Volume: 7, P: 829-841
The role of nonlinear dynamics of the syrinx in the vocalizations of a songbird

Michale S. Fee
Boris Shraiman
Partha P. Mitra
Research03 Sept 1998
Nature

Volume: 395, P: 67-71
Dynamical flexible inference of nonlinear latent factors and structures in neural population activity

Nonlinear latent factors and latent structures in the activity of neural populations can be computationally modelled to enable flexible inference and to better predict neural activity and behaviour.

Hamidreza Abbaspourazad
Eray Erturk
Maryam M. Shanechi
ResearchOpen Access11 Dec 2023
Nature Biomedical Engineering

Volume: 8, P: 85-108
Coherent neuronal ensembles are rapidly recruited when making a look-reach decision

The authors propose that deciding where to look and reach depends on how neurons in the posterior parietal cortex communicate with each other. They find that ‘dual-coherent’ neurons, which tend to fire spikes timed to neural activity within and across the banks of the intraparietal sulcus, predict look-reach choices before neurons without this property.

Yan T Wong
Margaret M Fabiszak
Bijan Pesaran
Research11 Jan 2016
Nature Neuroscience

Volume: 19, P: 327-334
Manipulating stored phonological input during verbal working memory

Cognitive tasks require storing and manipulating information for short periods of time. Verbal working memory involves storing and manipulating speech information, but the underlying brain mechanisms remain unknown. The authors identify storage systems for sensory and motor representations and two distinct manipulation systems, demonstrating that multiple subsystems comprise verbal working memory.

Gregory B Cogan
Asha Iyer
Bijan Pesaran
Research12 Dec 2016
Nature Neuroscience

Volume: 20, P: 279-286
Modelling and prediction of the dynamic responses of large-scale brain networks during direct electrical stimulation

Input–output models can predict multiregional brain network dynamics in response to temporally varying patterns of ongoing direct electrical stimulation, with variabilities in prediction accuracy explained by at-rest functional connectivity.

Yuxiao Yang
Shaoyu Qiao
Maryam M. Shanechi
Research01 Feb 2021
Nature Biomedical Engineering

Volume: 5, P: 324-345
Multiscale low-dimensional motor cortical state dynamics predict naturalistic reach-and-grasp behavior

Motor control involves neural dynamics at multiple spatiotemporal scales. Here the authors show that a multiscale, low-dimensional dynamical structure that is shared between scales and subjects reflects naturalistic reach-and-grasp movements in macaques.

Hamidreza Abbaspourazad
Mahdi Choudhury
Maryam M. Shanechi
ResearchOpen Access27 Jan 2021
Nature Communications

Volume: 12, P: 1-19
Temporal structure in neuronal activity during working memory in macaque parietal cortex

Bijan Pesaran
John S. Pezaris
Richard A. Andersen
Research22 Jul 2002
Nature Neuroscience

Volume: 5, P: 805-811
Dissociative and prioritized modeling of behaviorally relevant neural dynamics using recurrent neural networks

The authors present DPAD, a deep learning method, for dynamical neural–behavioral modeling. It dissociates behaviorally relevant neural dynamics, better predicts neural–behavioral data and reveals insight into where their nonlinearities can be isolated.

Omid G. Sani
Bijan Pesaran
Maryam M. Shanechi
ResearchOpen Access06 Sept 2024
Nature Neuroscience

Volume: 27, P: 2033-2045
Modeling behaviorally relevant neural dynamics enabled by preferential subspace identification

This work develops PSID, a dynamic modeling method to dissociate and prioritize neural dynamics relevant to a given behavior.

Omid G. Sani
Hamidreza Abbaspourazad
Maryam M. Shanechi
Research09 Nov 2020
Nature Neuroscience

Volume: 24, P: 140-149

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