@article {67965, title = {Neural Algorithms and Circuits for Motor Planning.}, journal = {Annual Reviews Neuroscience}, year = {2022}, month = {2022 Feb 22}, abstract = {

The brain plans and executes volitional movements. The underlying patterns of neural population activity have been explored in the context of movements of the eyes, limbs, tongue, and head in nonhuman primates and rodents. How do networks of neurons produce the slow neural dynamics that prepare specific movements and the fast dynamics that ultimately initiate these movements? Recent work exploits rapid and calibrated perturbations of neural activity to test specific dynamical systems models that are capable of producing the observed neural activity. These joint experimental and computational studies show that cortical dynamics during motor planning reflect fixed points of neural activity (attractors). Subcortical control signals reshape and move attractors over multiple timescales, causing commitment to specific actions and rapid transitions to movement execution. Experiments in rodents are beginning to reveal how these algorithms are implemented at the level of brain-wide neural circuits. Expected final online publication date for the , Volume 45 is July 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

}, issn = {1545-4126}, doi = {10.1146/annurev-neuro-092021-121730}, author = {Inagaki, Hidehiko K and Chen, Susu and Daie, Kayvon and Finklestein, Arseny and Fontolan, Lorenzo and Romani, Sandro and Svoboda, Karel} } @article {68224, title = {Neural Algorithms and Circuits for Motor Planning.}, journal = {Annual Review Neuroscience}, volume = {45}, year = {2022}, month = {2022 Jul 08}, pages = {249-271}, abstract = {

The brain plans and executes volitional movements. The underlying patterns of neural population activity have been explored in the context of movements of the eyes, limbs, tongue, and head in nonhuman primates and rodents. How do networks of neurons produce the slow neural dynamics that prepare specific movements and the fast dynamics that ultimately initiate these movements? Recent work exploits rapid and calibrated perturbations of neural activity to test specific dynamical systems models that are capable of producing the observed neural activity. These joint experimental and computational studies show that cortical dynamics during motor planning reflect fixed points of neural activity (attractors). Subcortical control signals reshape and move attractors over multiple timescales, causing commitment to specific actions and rapid transitions to movement execution. Experiments in rodents are beginning to reveal how these algorithms are implemented at the level of brain-wide neural circuits.

}, keywords = {Algorithms, Animals, Brain, Motor Cortex, Movement, Neurons}, issn = {1545-4126}, doi = {10.1146/annurev-neuro-092021-121730}, author = {Inagaki, Hidehiko K and Chen, Susu and Daie, Kayvon and Finkelstein, Arseny and Fontolan, Lorenzo and Romani, Sandro and Svoboda, Karel} } @article {66007, title = {Targeted photostimulation uncovers circuit motifs supporting short-term memory.}, journal = {Nature Neuroscience}, volume = {24}, year = {2021}, month = {2021 Jan 25}, pages = {259-265}, abstract = {

Short-term memory is associated with persistent neural activity that is maintained by positive feedback between neurons. To explore the neural circuit motifs that produce memory-related persistent activity, we measured coupling between functionally characterized motor cortex neurons in mice performing a memory-guided response task. Targeted two-photon photostimulation of small (\<10) groups of neurons produced sparse calcium responses in coupled neurons over approximately 100 μm. Neurons with similar task-related selectivity were preferentially coupled. Photostimulation of different groups of neurons modulated activity in different subpopulations of coupled neurons. Responses of stimulated and coupled neurons persisted for seconds, far outlasting the duration of the photostimuli. Photostimuli produced behavioral biases that were predictable based on the selectivity of the perturbed neuronal population, even though photostimulation preceded the behavioral response by seconds. Our results suggest that memory-related neural circuits contain intercalated, recurrently connected modules, which can independently maintain selective persistent activity.

}, issn = {1546-1726}, doi = {10.1038/s41593-020-00776-3}, author = {Daie, Kayvon and Svoboda, Karel and Druckmann, Shaul} } @article {65726, title = {A comparison of neuronal population dynamics measured with calcium imaging and electrophysiology.}, journal = {PLoS Computational Biology}, volume = {16}, year = {2020}, month = {2020 Sep 15}, pages = {e1008198}, abstract = {

Calcium imaging with fluorescent protein sensors is widely used to record activity in neuronal populations. The transform between neural activity and calcium-related fluorescence involves nonlinearities and low-pass filtering, but the effects of the transformation on analyses of neural populations are not well understood. We compared neuronal spikes and fluorescence in matched neural populations in behaving mice. We report multiple discrepancies between analyses performed on the two types of data, including changes in single-neuron selectivity and population decoding. These were only partially resolved by spike inference algorithms applied to fluorescence. To model the relation between spiking and fluorescence we simultaneously recorded spikes and fluorescence from individual neurons. Using these recordings we developed a model transforming spike trains to synthetic-imaging data. The model recapitulated the differences in analyses. Our analysis highlights challenges in relating electrophysiology and imaging data, and suggests forward modeling as an effective way to understand differences between these data.

}, issn = {1553-7358}, doi = {10.1371/journal.pcbi.1008198}, author = {Wei, Ziqiang and Lin, Bei-Jung and Chen, Tsai-Wen and Daie, Kayvon and Svoboda, Karel and Druckmann, Shaul} } @article {65254, title = {Two-photon imaging with silicon photomultipliers.}, journal = {Optics Express}, volume = {27}, year = {2019}, month = {2019 Nov 25}, pages = {35830-35841}, abstract = {

We compared performance of recently developed silicon photomultipliers (SiPMs) to GaAsP photomultiplier tubes (PMTs) for two-photon imaging of neural activity. Despite higher dark counts, SiPMs match or exceed the signal-to-noise ratio of PMTs at photon rates encountered in typical calcium imaging experiments due to their low pulse height variability. At higher photon rates encountered during high-speed voltage imaging, SiPMs substantially outperform PMTs.

}, issn = {1094-4087}, doi = {10.1364/OE.27.035830}, author = {Modi, Mehrab N and Daie, Kayvon and Turner, Glenn C and Podgorski, Kaspar} } @article {48459, title = {Maintenance of persistent activity in a frontal thalamocortical loop.}, journal = {Nature}, volume = {545}, year = {2017}, month = {2017 May 03}, pages = {181-6}, abstract = {

Persistent neural activity maintains information that connects past and future events. Models of persistent activity often invoke reverberations within local cortical circuits, but long-range circuits could also contribute. Neurons in the mouse anterior lateral motor cortex (ALM) have been shown to have selective persistent activity that instructs future actions. The ALM is connected bidirectionally with parts of the thalamus, including the ventral medial and ventral anterior-lateral nuclei. We recorded spikes from the ALM and thalamus during tactile discrimination with a delayed directional response. Here we show that, similar to ALM neurons, thalamic neurons exhibited selective persistent delay activity that predicted movement direction. Unilateral photoinhibition of delay activity in the ALM or thalamus produced contralesional neglect. Photoinhibition of the thalamus caused a short-latency and near-complete collapse of ALM activity. Similarly, photoinhibition of the ALM diminished thalamic activity. Our results show that the thalamus is a circuit hub in motor preparation and suggest that persistent activity requires reciprocal excitation across multiple brain areas.

}, issn = {1476-4687}, doi = {10.1038/nature22324}, author = {Guo, Zengcai V and Inagaki, Hidehiko K and Daie, Kayvon and Druckmann, Shaul and Gerfen, Charles R and Svoboda, Karel} } @article {48493, title = {A map of anticipatory activity in mouse motor cortex.}, journal = {Neuron}, volume = {94}, year = {2017}, month = {2017 May 17}, pages = {866-879.e4}, abstract = {

Activity in the mouse anterior lateral motor cortex (ALM) instructs directional movements, often seconds before movement initiation. It is unknown whether this preparatory activity is localized to ALM or widely distributed within motor cortex. Here we imaged activity across motor cortex while mice performed a whisker-based object localization task with a delayed, directional licking response. During tactile sensation and the delay epoch, object location was represented in motor cortex areas that are medial and posterior relative to ALM, including vibrissal motor cortex. Preparatory activity appeared first in deep layers of ALM, seconds before the behavioral response, and remained localized to ALM until the behavioral response. Later, widely distributed neurons represented the outcome of the trial. Cortical area was more predictive of neuronal selectivity than laminar location or axonal projection target. Motor cortex therefore represents sensory, motor, and outcome information in a spatially organized manner.

}, issn = {1097-4199}, doi = {10.1016/j.neuron.2017.05.005}, author = {Chen, Tsai-Wen and Li, Nuo and Daie, Kayvon and Svoboda, Karel} } @article {47425, title = {Robust neuronal dynamics in premotor cortex during motor planning.}, journal = {Nature}, year = {2016}, month = {2016 Apr 13}, abstract = {

Neural activity maintains representations that bridge past and future events, often over many seconds. Network models can produce persistent and ramping activity, but the positive feedback that is critical for these slow dynamics can cause sensitivity to perturbations. Here we use electrophysiology and optogenetic perturbations in the mouse premotor cortex to probe the robustness of persistent neural representations during motor planning. We show that preparatory activity is remarkably robust to large-scale unilateral silencing: detailed neural dynamics that drive specific future movements were quickly and selectively restored by the network. Selectivity did not recover after bilateral silencing of the premotor cortex. Perturbations to one hemisphere are thus corrected by information from the other hemisphere. Corpus callosum bisections demonstrated that premotor cortex hemispheres can maintain preparatory activity independently. Redundancy across selectively coupled modules, as we observed in the premotor cortex, is a hallmark of robust control systems. Network models incorporating these principles show robustness that is consistent with data.

}, issn = {1476-4687}, doi = {10.1038/nature17643}, author = {Li, Nuo and Daie, Kayvon and Svoboda, Karel and Druckmann, Shaul} }