A Poisson generalized linear model application to disentangle the effects of various parameters on neurophysiological discharges

F, Vaccari; Diomedi, Stefano; Filippini, Matteo; Galletti, Claudio; Fattori, Patrizia

doi:10.1016/j.xpro.2021.100413

Cited by 5 publications

(4 citation statements)

References 21 publications

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“…V6A is particularly involved in arm-reaching movements both during the planning and execution phases (Hadjidimitrakis et al, 2014 ; Fattori et al, 2017 ; Diomedi et al, 2021 ). Recently, we found that, during foveated delayed reaching movements, spatio-temporal information about the target and task phase was distributed across the network and the population did not cluster in well-defined categories of selective units, according to the mixed selectivity scheme (Diomedi et al, 2020 ; Vaccari et al, 2021 ; see also Figure 2F ).…”

Section: The Mixed Selectivitymentioning

confidence: 90%

New insights on single-neuron selectivity in the era of population-level approaches

Diomedi

Filippini

et al. 2022

Front. Integr. Neurosci.

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In the past, neuroscience was focused on individual neurons seen as the functional units of the nervous system, but this approach fell short over time to account for new experimental evidence, especially for what concerns associative and motor cortices. For this reason and thanks to great technological advances, a part of modern research has shifted the focus from the responses of single neurons to the activity of neural ensembles, now considered the real functional units of the system. However, on a microscale, individual neurons remain the computational components of these networks, thus the study of population dynamics cannot prescind from studying also individual neurons which represent their natural substrate. In this new framework, ideas such as the capability of single cells to encode a specific stimulus (neural selectivity) may become obsolete and need to be profoundly revised. One step in this direction was made by introducing the concept of “mixed selectivity,” the capacity of single cells to integrate multiple variables in a flexible way, allowing individual neurons to participate in different networks. In this review, we outline the most important features of mixed selectivity and we also present recent works demonstrating its presence in the associative areas of the posterior parietal cortex. Finally, in discussing these findings, we present some open questions that could be addressed by future studies.

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Section: The Mixed Selectivitymentioning

confidence: 90%

New insights on single-neuron selectivity in the era of population-level approaches

Diomedi

Filippini

et al. 2022

Front. Integr. Neurosci.

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“…The datasets here presented have been efficiently used in last works to functionally characterize individual neurons in the SPL, to model latent states and decode population activity 9,32 , but also to explain method of investigation 10,33 .…”

Section: Background and Summarymentioning

confidence: 99%

“…Recent publications from our group 32,33 serve as examples of methods with which to analyse the neural data contained in these datasets, and are able to show examples of downstream processing steps. Note that to download the data files from the repository correctly, there are two options: (i) download a zip file containing data and code, directly from the official DOI webpage 14 ('Download Archive' green button); (ii) download each data file manually by navigating to the 'Data' folder of the online repository webpage (https://gin.g-node.org/SDiomedi/ SPL_single_units_reaching_task).…”

Section: Usage Notesmentioning

confidence: 99%

Neurophysiological recordings from parietal areas of macaque brain during an instructed-delay reaching task

Diomedi,

Vaccari,

Gamberini

et al. 2024

Sci Data

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Facilitating data sharing in scientific research, especially in the domain of animal studies, holds immense value, particularly in mitigating distress and enhancing the efficiency of data collection. This study unveils a meticulously curated collection of neural activity data extracted from six electrophysiological datasets recorded from three parietal areas (V6A, PEc, PE) of two Macaca fascicularis during an instructed-delay foveated reaching task. This valuable resource is now accessible to the public, featuring spike timestamps, behavioural event timings and supplementary metadata, all presented alongside a comprehensive description of the encompassing structure. To enhance accessibility, data are stored as HDF5 files, a convenient format due to its flexible structure and the capability to attach diverse information to each hierarchical sub-level. To guarantee ready-to-use datasets, we also provide some MATLAB and Python code examples, enabling users to quickly familiarize themselves with the data structure.

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“…To reveal the information encoded by individual neurons, we used Poisson GLM ( glmfit ) to predict the spike count within 20 msec bins with movement profiles (behavior matrix M ) 105 .…”

Section: Pethmentioning

confidence: 99%

Cortical network and projection neuron types that articulate serial order in a skilled motor behavior

Li,

An,

Qian

et al. 2023

Preprint

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Skilled motor behaviors require orderly coordination of multiple constituent movements with sensory cues towards achieving a goal, but the underlying brain circuit mechanisms remain unclear. Here we show that target-guided reach-grasp-to-drink (RGD) in mice involves the ordering and coordination of a set of forelimb and oral actions. Cortex-wide activity imaging of multiple glutamatergic projection neuron (PN) types uncovered a network, involving the secondary motor cortex (MOs), forelimb primary motor and somatosensory cortex, that tracked RGD movements. Photo-inhibition highlighted MOs in coordinating RGD movements. Within the MOs, population neural trajectories tracked RGD progression and single neuron activities integrated across constituent movements. Notably, MOs intratelencephalic, pyramidal tract, and corticothalamic PN activities correlated with action coordination, showed distinct neural dynamics trajectories, and differentially contributed to movement coordination. Our results delineate a cortical network and key areas, PN types, and neural dynamics therein that articulate the serial order and coordination of a skilled behavior.

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A Poisson generalized linear model application to disentangle the effects of various parameters on neurophysiological discharges

Cited by 5 publications

References 21 publications

New insights on single-neuron selectivity in the era of population-level approaches

New insights on single-neuron selectivity in the era of population-level approaches

Neurophysiological recordings from parietal areas of macaque brain during an instructed-delay reaching task

Cortical network and projection neuron types that articulate serial order in a skilled motor behavior

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