Synchronous spiking of cerebellar Purkinje cells during control of movements

Sedaghat-Nejad, Ehsan; Pi, Jay S.; Hage, Paul; Fakharian, Mohammad Amin; Shadmehr, Reza

doi:10.1101/2021.09.16.460700

Cited by 2 publications

(2 citation statements)

References 52 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Raw electrophysiological traces were analyzed in P-sort to detect spikes of MLIs and simple as well as complex spikes for Purkinje cell recordings (Sedaghat-Nejad et al, 2021). Current traces were band-pass filtered (0.5 to 5 kHz) and spikes clustered using the build-in nonlinear dimensionality reduction in P-sort.…”

Section: Methodsmentioning

confidence: 99%

Cerebellar interneuron activity is triggered by reach endpoint during learning of a complex locomotor task

Andrianarivelo,

Stein,

Gabillet

et al. 2023

Preprint

View full text Add to dashboard Cite

Locomotion in complex environments depends on the precise timing and active control of single paw movements in order to adapt steps to surface structure and coordinate paws. Such motor control crucially depends on the cerebellum. In turn, cerebellar activity is reported to reflect limb movement kinematics, but how precise action timing in complex environments is controlled by the cerebellar circuit is currently unknown. To address this question, we developed LocoReach: a new task which combines continuous and discrete aspects of motor control by requiring mice to walk on a runged treadmill, where each step involves reaching for the next rung. Over several days of learning, mice became increasingly proficient at LocoReach, so that they made fewer, longer strides with faster swings and fewer missteps. We assessed the cerebellar role during LocoReach learning through electrophysiological recordings of molecular layer interneurons (MLIs), as they are thought to control the timing and gain of the cerebellar cortical output. When analyzing behaviorally-evoked responses in MLIs, we found sharp changes in activity around paw-specific transitions from swing to stance and vice versa. While most MLIs in the left simplex were preferentially modulated by the reach endpoint of the front left paw, a large proportion of cells additionally showed activity variations related to other paws or even multiple paws. Stronger firing rate modulations reflected longer strides made over learning, consistent with previous reports highlighting the role of the intermediate cerebellum in controlling reach endpoint precision. Our results provide the first demonstration that cerebellar inhibitory signals are tuned to specific events in the step cycle which can act as a powerful mechanism for the precise control of paw placements.

show abstract

Section: Methodsmentioning

confidence: 99%

Cerebellar interneuron activity is triggered by reach endpoint during learning of a complex locomotor task

Andrianarivelo,

Stein,

Gabillet

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…For example, recent models used a continuous rate-based representation of neural activity (16, 27) to reproduce the PC population responses that try to optimize movement kinematics. However, it has been proposed that cerebellar cortex relies on millisecond spike precision of PCs, not on individual firing rates, to convey to the nucleus when to stop a movement (28). This implies that spike timing is critical and that spike-based modeling strategies are needed to face the issue.…”

Section: Introductionmentioning

confidence: 99%

Dual STDP processes at Purkinje cells contribute to distinct improvements in accuracy and vigor of saccadic eye movements

Fruzzetti

Kalidindi

Antonietti

et al. 2022

Preprint

View full text Add to dashboard Cite

Saccadic eye-movements play a crucial role in visuo-motor control by allowing rapid foveation onto new targets. However, the neural processes governing saccades adaptation are not fully understood. Saccades, due to the short-time of execution (20-100 ms) and the absence of sensory information for online feedback control, must be controlled in a ballistic manner. Incomplete measurements of the movement trajectory, such as the visual end-point error, are supposedly used to form internal predictions about the movement kinematics resulting in predictive control. In order to characterize the synaptic and neural circuit mechanisms underlying predictive saccadic control, we have reconstructed the saccadic system in a digital controller embedding a spiking neural network of the cerebellum with spike timing-dependent plasticity (STDP) rules driving parallel fiber - Purkinje cell long-term potentiation and depression (LTP and LTD). This model implements a control policy based on a dual plasticity mechanism, resulting in the identification of the roles of LTP and LTD in optimizing saccade movement control: it turns out that LTD regulates the accuracy and LTP the speed (vigor) of the ballistic eye movement. The control policy also required cerebellar PCs to be divided into two subpopulations, characterized by burst or pause responses. To our knowledge, this is the first model that explains in mechanistic terms the accuracy and vigor regulation of ballistic eye movements in forward mode exploiting spike-timing to regulate firing in different populations of the neuronal network. This elementary model of saccades could be extended and applied to other more complex cases in which single jerks are concatenated to compose articulated and coordinated movements.

show abstract

Synchronous spiking of cerebellar Purkinje cells during control of movements

Cited by 2 publications

References 52 publications

Cerebellar interneuron activity is triggered by reach endpoint during learning of a complex locomotor task

Cerebellar interneuron activity is triggered by reach endpoint during learning of a complex locomotor task

Dual STDP processes at Purkinje cells contribute to distinct improvements in accuracy and vigor of saccadic eye movements

Contact Info

Product

Resources

About