Mixed Selectivity in Macaque Medial Parietal Cortex during Eye-Hand Reaching

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

doi:10.1016/j.isci.2020.101616

Cited by 32 publications

(46 citation statements)

References 79 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In Diomedi et al., 2020 , two macaque monkeys performed a delayed fix-to-reach task toward different spatial positions. Temporal markers describing behavior, gaze position and spiking activity from neurons of the posterior parietal cortex (area V6A) were collected during task execution.…”

Section: Before You Beginmentioning

confidence: 99%

“…System requirements: We recommend high CPU clock rate and a large available RAM (at least 8 Gb). In Diomedi et al. (2020) , we used a machine with Intel Core i5 1.60 GHz and 8 Gb RAM.…”

Section: Materials and Equipmentmentioning

confidence: 99%

“… Note: The timing indications provided in this protocol refer only to the computations and they are quite variable, depending on the amount of data (number of units and length of the recordings) and on the complexity of the model that need to be fitted. For example, in Diomedi et al. (2020) the model included 10 4 datapoints and almost 150 regressors.…”

Section: Materials and Equipmentmentioning

confidence: 99%

“…We also provide suggestions to extract complementary useful information from the method. For complete details on the use and execution of this protocol, please refer to Diomedi et al. (2020) .…”

mentioning

confidence: 99%

“…For complete details on the use and execution of this protocol, please refer to Diomedi et al. (2020) .…”

mentioning

confidence: 99%

See 4 more Smart Citations

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

Diomedi

Filippini

et al. 2021

STAR Protocols

Self Cite

View full text Add to dashboard Cite

Summary The protocol provides an extensive guide to apply the generalized linear model framework to neurophysiological recordings. This flexible technique can be adapted to test and quantify the contributions of many different parameters (e.g., kinematics, target position, choice, reward) on neural activity. To weight the influence of each parameter, we developed an intuitive metric (“w-value”) that can be used to build a “functional fingerprint” characteristic for each neuron. We also provide suggestions to extract complementary useful information from the method. For complete details on the use and execution of this protocol, please refer to Diomedi et al. (2020) .

show abstract

Section: Before You Beginmentioning

confidence: 99%

“…System requirements: We recommend high CPU clock rate and a large available RAM (at least 8 Gb). In Diomedi et al. (2020) , we used a machine with Intel Core i5 1.60 GHz and 8 Gb RAM.…”

Section: Materials and Equipmentmentioning

confidence: 99%

Section: Materials and Equipmentmentioning

confidence: 99%

mentioning

confidence: 99%

“…For complete details on the use and execution of this protocol, please refer to Diomedi et al. (2020) .…”

mentioning

confidence: 99%

See 3 more Smart Citations

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

Diomedi

Filippini

et al. 2021

STAR Protocols

Self Cite

View full text Add to dashboard Cite

show abstract

Are reaching and grasping effector-independent? Similarities and differences in reaching and grasping kinematics between the hand and foot

et al. 2022

View full text Add to dashboard Cite

While reaching and grasping are highly prevalent manual actions, neuroimaging studies provide evidence that their neural representations may be shared between different body parts, i.e., effectors. If these actions are guided by effector-independent mechanisms, similar kinematics should be observed when the action is performed by the hand or by a cortically remote and less experienced effector, such as the foot. We tested this hypothesis with two characteristic components of action: the initial ballistic stage of reaching, and the preshaping of the digits during grasping based on object size. We examined if these kinematic features reflect effector-independent mechanisms by asking participants to reach toward and to grasp objects of different widths with their hand and foot. First, during both reaching and grasping, the velocity profile up to peak velocity matched between the hand and the foot, indicating a shared ballistic acceleration phase. Second, maximum grip aperture and time of maximum grip aperture of grasping increased with object size for both effectors, indicating encoding of object size during transport. Differences between the hand and foot were found in the deceleration phase and time of maximum grip aperture, likely due to biomechanical differences and the participants’ inexperience with foot actions. These findings provide evidence for effector-independent visuomotor mechanisms of reaching and grasping that generalize across body parts.

show abstract

Vision for action: thalamic and cortical inputs to the macaque superior parietal lobule

et al. 2021

Self Cite

View full text Add to dashboard Cite

The dorsal visual stream, the cortical circuit that in the primate brain is mainly dedicated to the visual control of actions, is split into two routes, a lateral and a medial one, both involved in coding different aspects of sensorimotor control of actions. The lateral route, named “lateral grasping network”, is mainly involved in the control of the distal part of prehension, namely grasping and manipulation. The medial route, named “reach-to-grasp network”, is involved in the control of the full deployment of prehension act, from the direction of arm movement to the shaping of the hand according to the object to be grasped. In macaque monkeys, the reach-to-grasp network (the target of this review) includes areas of the superior parietal lobule (SPL) that hosts visual and somatosensory neurons well suited to control goal-directed limb movements toward stationary as well as moving objects. After a brief summary of the neuronal functional properties of these areas, we will analyze their cortical and thalamic inputs thanks to retrograde neuronal tracers separately injected into the SPL areas V6, V6A, PEc, and PE. These areas receive visual and somatosensory information distributed in a caudorostral, visuosomatic trend, and some of them are directly connected with the dorsal premotor cortex. This review is particularly focused on the origin and type of visual information reaching the SPL, and on the functional role this information can play in guiding limb interaction with objects in structured and dynamic environments.

show abstract

Mixed Selectivity in Macaque Medial Parietal Cortex during Eye-Hand Reaching

Cited by 32 publications

References 79 publications

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

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

Are reaching and grasping effector-independent? Similarities and differences in reaching and grasping kinematics between the hand and foot

Vision for action: thalamic and cortical inputs to the macaque superior parietal lobule

Contact Info

Product

Resources

About