Commentary: Injecting Instructions into Premotor Cortex

A. Ossadtchi; M. Lebedev

doi:10.3389/fncel.2018.00065

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Commentary: Injecting Instructions into Premotor Cortex

Frontiers in Cellular Neuroscience. 2018. Vol. 12. No. 65. P. 1–3.

Ossadtchi A., Lebedev M.

Here we call attention to a scholarly paper of particular note, where Mazurek and Schieber (Mazurek and Schieber, 2017) reported for the first time that arm reaching tasks performed by rhesus monkeys can be instructed by intracortical stimulation (ICMS) applied to dorsal premotor cortex (PMd). Monkeys started each trial by grasping with the hand a home handle that was surrounded by four target handles. Next, reach direction was instructed by turning on a display composed of light emitting diodes (LEDs) at the base of the target handle and/or applying ICMS to different sites in PMd. ICMS of the primary somatosensory cortex (S1) was also tested in the same context. Monkeys responded to the instruction by releasing the home handle and grasping the target handle. They learned to respond correctly to both LED and ICMS instructions, with very high success rate (96–99%).

Language: English

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Keywords: intracortical microstimulation premotor cortex monkey hebbian learning hebbian plasticity neural prostheses predictive coding predictive processing

Publication based on the results of:

Двунаправленные электрокортикографические интерфейсы мозг-компьютер для управления, стимуляции и коммуникации (2020)

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Dogonasheva O., Doelling K., Zakharov D. et al., Nature Computational Science 2025 Vol. 5 P. 915–926

Unraveling how humans understand speech despite distortions has long intrigued researchers. A prominent hypothesis highlights the role of multiple endogenous brain rhythms in forming the computational context to predict speech structure and content. Yet, how neural processes may implement rhythm-based context formation remains unclear. Here, we propose the Brain-Rhythm-Based Inference model (BRyBI) as a possible neural implementation of speech processing ...

Added: September 2, 2025

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Tretyakova V., Pavlova A., Arapov V. et al., Plos One 2025 Vol. 20 No. 7 Article e0325977

Action word learning is believed to rely on mechanisms of Hebbian learning. However, this biological mechanism requires activation of the neural assemblies representing a word form and a corresponding movement to repeatedly overlap in time. In reality, though, these associated events could be separated by seconds. In the current MEG study, we examined trial-and-error learning ...

Added: July 4, 2025

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A. V. Demidovskij, M. S. Kazyulina, Salnikov I. G. et al., Optical Memory and Neural Networks (Information Optics) 2023 Vol. 32 P. S252–S264

Given the unprecedented growth of deep learning applications, training acceleration is becoming a subject of strong academic interest. Hebbian learning as a training strategy alternative to backpropagation presents a promising optimization approach due to its locality, lower computational complexity and parallelization potential. Nevertheless, due to the challenging optimization of Hebbian learning, there is no widely ...

Added: January 17, 2024

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Predictive processing currently is one of the major lines of research in computational psychiatry. There is substantial evidence for the impaired Bayesian learning in affective disorders, and in particular impaired learning about uncertainty estimations. Based on our previous results in state and trait anxiety, we developed a study design, completed a pilot study and are ...

Added: February 10, 2023

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Falikman M., В кн.: Cognitive Neuroscience — 2020: материалы международного форума.: Екатеринбург: Издательство Уральского университета, 2021. С. 3–7.

In recent years, the principle predictive coding has become one of the frontiers in the contemporary cognitive science and is used to explain a growing range of cognitive functions, as well as emotions, social psychological effects, etc. Implementing the general concept of anticipation as the cornerstone of human activity, this principle echoes some ideas articulated ...

Added: September 9, 2021

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Falikman M., Вопросы психологии 2021 Т. 67 № 3 С. 3–23

The review addresses the main directions of anticipation research in the contemporary cognitive psychology and some related areas of application of the predictive coding principle as a new general principle of human cognitive system and the brain functioning. The introduction of this principle to human information processing models raised a new wave of interest towards the feedback processing in ...

Added: June 23, 2021

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Lebedev M., Krukoff M., Zhuang K. et al., Journal of Neurophysiology 2017 Vol. 118 No. 3 P. 1800–1808

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Added: December 11, 2018

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Lebedev M., Frontiers in Neuroscience 2017 Vol. 11 No. 502 P. 1–5

Kaufman et al. recently proposed a hypothesis of how cortical neuronal ensembles prepare movements without initiating them prematurely (Kaufman et al., 2014). Although novel and potentially paradigm-shifting, their model appears to contradict some of the previously reported results. Here I discuss several possible reasons for this contradiction. Kaufman et al. recorded from neuronal populations in dorsal premotor ...

Added: December 11, 2018

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Ivanchei I., Asvarisch A., / Series WP BRP "PSYCHOLOGY". 2018.

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Added: November 1, 2018