Low-dimensional and monotonic preparatory activity in mouse anterior lateral motor cortex
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Abstract
Neurons in multiple brain regions fire trains of action potentials anticipating specific movements, but this “preparatory activity” has not been systematically compared across behavioral tasks. We compared preparatory activity in auditory and tactile delayed-response tasks in male mice. Skilled, directional licking was the motor output. The anterior lateral motor cortex (ALM) is necessary for motor planning in both tasks. Multiple features of ALM preparatory activity during the delay epoch were similar across tasks. First, most neurons showed direction-selective activity and spatially intermingled neurons were selective for either movement direction. Second, many cells showed mixed coding of sensory stimulus and licking direction, with a bias toward licking direction. Third, delay activity was monotonic and low-dimensional. Fourth, pairs of neurons with similar direction selectivity showed high spike-count correlations. Our study forms the foundation to analyze the neural circuit mechanisms underlying preparatory activity in a genetically tractable model organism. SIGNIFICANCE STATEMENT Short-term memories link events separated in time. Neurons in the frontal cortex fire trains of action potentials anticipating specific movements, often seconds before the movement. This “preparatory activity” has been observed in multiple brain regions, but has rarely been compared systematically across behavioral tasks in the same brain region. To identify common features of preparatory activity, we developed and compared preparatory activity in auditory and tactile delayed-response tasks in mice. The same cortical area is necessary for both tasks. Multiple features of preparatory activity, measured with high-density silicon probes, were similar across tasks. We find that preparatory activity is low-dimensional and monotonic. Our study forms a foundation for analyzing the circuit mechanisms underlying preparatory activity in a genetically tractable model organism.
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Serial transformation of sensory inputs along bottom-up hierarchical pathways has been observed in rodents engaged in whisker-discrimination tasks, with increasingly stronger association with perceptual choice in S2 and premotor areas rather than wS1.
“Serial transformation of sensory inputs along bottom–up hierarchical pathways has been observed in rodents engaged in whisker-discrimination tasks (8, 9) with an increasingly stronger association with perceptual choice in S2 (10, 11) and premotor areas (12–14) rather than whisker-related wS1 (9).”
From Neural correlates of perceptual decision-making in the primary somatosensory cortex (2026) · cites this paper as [14]
Split into 2 atoms — 1 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measuredPeak 4 is likely to reflect participation of the primary somatosensory cortex in motor preparatory activity, often observed in higher motor cortices.
“Hence, peak 4 is likely to reflect participation of the primary somatosensory cortex in motor preparatory activity, often observed in higher motor cortices (12–14).”
From Neural correlates of perceptual decision-making in the primary somatosensory cortex (2026) · cites this paper as [14]
This global regulation is unlikely to originate directly from frontal cortical premotor areas since frontal cortices have a high degree of symmetry for both ipsilateral and contralateral projections.
“Therefore, this global regulation is unlikely to originate directly from frontal cortical premotor areas (12–14) since frontal cortices have a high degree of symmetry for both ipsilateral and contralateral projections (59).”
From Neural correlates of perceptual decision-making in the primary somatosensory cortex (2026) · cites this paper as [14]
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BackgroundDynamical systems, attractors, and neural circuits
Miller, P. C. (2016) · F1000Research · doi:10.12688/f1000research.7698.1 · Cited by 55 · see citing works
Discrete attractor dynamics underlying selective persistent activity in frontal cortexPreprint
Inagaki, H. K., Fontolan, L., Romani, S., & Svoboda, K. (2017) · bioRxiv · doi:10.1101/203448 · Cited by 17 · cited 2× · see citing works
“Some of these mice were in addition used for optogenetic experiments not described in this paper (Inagaki et al., 2017).”
BackgroundSelf-citation
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Sorted by citations
A cortico-cerebellar loop for motor planning
Gao, Z., Davis, C., Thomas, A. M., Economo, M. N., Abrego, A. M., Svoboda, K., De Zeeuw, C. I., & Li, N. (2018) · Nature · doi:10.1038/s41586-018-0633-x · Cited by 417 · see citing works
Self-citationAttractor and integrator networks in the brain
Khona, M., & Fiete, I. (2022) · Nature reviews. Neuroscience · doi:10.1038/s41583-022-00642-0 · Cited by 314 · see citing works
“Perturbations are either robustly ignored (top), or flip the dynamics so that the end points are reversed (bottom) [142, 138].”
BackgroundInfluentialDiscrete attractor dynamics underlies persistent activity in the frontal cortex
Inagaki, H. K., Fontolan, L., Romani, S., & Svoboda, K. (2019) · Nature · doi:10.1038/s41586-019-0919-7 · Cited by 334 · see citing works
Self-citationNeuromodulation of brain state and behavior
McCormick, D. A., Nestvogel, D. B., & He, B. J. (2020) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-100219-105424 · Cited by 303 · see citing works
Thalamic regulation of switching between cortical representations enables cognitive flexibility
Rikhye, R. V., Gilra, A., & Halassa, M. M. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0269-z · Cited by 302 · see citing works
Jazayeri, M., & Ostojic, S. (2021) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2021.08.002 · Cited by 193 · see citing works
“This organization could ensure that preparation does not trigger movement [54,55], and may help protect previous motor memories [56].”
BackgroundThe mouse prefrontal cortex: Unity in diversity
Le Merre, P., Ährlund-Richter, S., & Carlén, M. (2021) · Neuron · doi:10.1016/j.neuron.2021.03.035 · Cited by 207 · see citing works
Shared cortex-cerebellum dynamics in the execution and learning of a motor task
Wagner, M. J., Kim, T. H., Kadmon, J., Nguyen, N. D., Ganguli, S., Schnitzer, M. J., & Luo, L. (2019) · Cell · doi:10.1016/j.cell.2019.02.019 · Cited by 177 · see citing works
“Other frontal cortical regions—similarly to the frontal premotor region we studied—have been found to exhibit relatively low dimensional activity that mimics task complexity, in contrast to higher dimensional sensory areas (Brincat et al., 2018; Inagaki et al., 2018).”
A comparison of neuronal population dynamics measured with calcium imaging and electrophysiology
Wei, Z., Lin, B., Chen, T., Daie, K., Svoboda, K., & Druckmann, S. (2020) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1008198 · Cited by 173 · see citing works
“Spike rates in individual ALM neurons often increase or decrease during a trial in ramp-like patterns (Guo et al., 2014b; Inagaki et al., 2018; Li et al., 2015).”
BackgroundSelf-citationNeocortex–Cerebellum Circuits for Cognitive Processing
Wagner, M. J., & Luo, L. (2019) · Trends in Neurosciences · doi:10.1016/j.tins.2019.11.002 · Cited by 159 · see citing works
“Lower dimensional representations that are consistent with task dimensionality – as reported in higher-order cortical areas [86,87] – coemerged in both cerebellum and cortex as mice gained task expertise.”
BackgroundMovement and Performance Explain Widespread Cortical Activity in a Visual Detection Task
Salkoff, D. B., Zagha, E., McCarthy, E., & McCormick, D. A. (2019) · Cerebral Cortex · doi:10.1093/cercor/bhz206 · Cited by 153 · see citing works
A midbrain-thalamus-cortex circuit reorganizes cortical dynamics to initiate movement
Inagaki, H., Chen, S., Ridder, M. C., Sah, P., Li, N., Yang, Z., Hasanbegović, H., Gao, Z., Gerfen, C. R., & Svoboda, K. (2022) · Cell · doi:10.1016/j.cell.2022.02.006 · Cited by 207 · see citing works
“ALM activity can be decomposed into several activity modes that capture a large proportion of cortical activity (Figure 1) (Li et al., 2016; Inagaki et al., 2018).”
InfluentialSelf-citationLow-dimensional dynamics for working memory and time encoding
Cueva, C. J., Saez, A., Marcos, E., Genovesio, A., Jazayeri, M., Romo, R., Salzman, C. D., Shadlen, M. N., & Fusi, S. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1915984117 · Cited by 155 · see citing works
“This is consistent with recent experiments on rodents (21, 22) that show that neural trajectories are low-dimensional, with a time-varying component that is dominated by ramping activity (46, 48).”
ResultBrain-wide neural activity underlying memory-guided movement
Chen, S.-S., Liu, Y., Wang, Z. A., Colonell, J., Liu, L. D., Hou, H., Tien, N.-W., Wang, T., Harris, T., Druckmann, S., et al. (2023) · bioRxiv · doi:10.1101/2023.03.01.530520 · Cited by 121
Self-citationTargeted photostimulation uncovers circuit motifs supporting short-term memory
Daie, K., Svoboda, K., & Druckmann, S. (2021) · Nature Neuroscience · doi:10.1038/s41593-020-00776-3 · Cited by 100 · see citing works
Self-citationGuo, K., Yamawaki, N., Svoboda, K., & Shepherd, G. M. (2018) · Journal of Neuroscience · doi:10.1523/jneurosci.1333-18.2018 · Cited by 119 · see citing works
“In the mouse, the anterolateral motor (ALM) cortex has premotor-like properties, particularly in behavioral tasks involving motor planning during a temporal delay (Guo et al., 2014; Inagaki et al., 2018).”
BackgroundSelf-citationGallero-Salas, Y., Han, S., Sych, Y., Voigt, F. F., Laurenczy, B., Gilad, A., & Helmchen, F. (2020) · bioRxiv · doi:10.1101/2020.01.13.904284 · Cited by 70
“Both frontal and posterior cortical areas have been implicated in delay activity related to short-term memory (Goard et al., 2016; Guo et al., 2014; Inagaki et al., 2018; Kamigaki and Dan, 2017; Gilad et al., 2018; Harvey et al., 2012; Morcos and Harvey, 2016; Siegel et al., 2015; see also review by Sreenivasan and D’…”
BackgroundCortical feedback loops bind distributed representations of working memory
Voitov, I., & Mrsic‐Flogel, T. D. (2022) · Nature · doi:10.1038/s41586-022-05014-3 · Cited by 86 · see citing works
Neural activity in the mouse claustrum in a cross-modal sensory selection task
Chevée, M., Finkel, E. A., Kim, S.-J., O’Connor, D. H., & Brown, S. P. (2021) · Neuron · doi:10.1016/j.neuron.2021.11.013 · Cited by 86 · see citing works
Wide-Field Calcium Imaging of Dynamic Cortical Networks during Locomotion
West, S. L., Aronson, J. D., Popa, L. S., Feller, K. D., Carter, R. E., Chiesl, W. M., Gerhart, M. L., Shekhar, A. C., Ghanbari, L., Kodandaramaiah, S. B., et al. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab373 · Cited by 61 · see citing works
“In the mouse, M2 is implicated as essential in several discrete motor behaviors, including licking (Chen et al., 2017; Allen et al., 2017; Inagaki et al., 2018) and in a lever press task (Makino et al., 2017).”
BackgroundCortical processing of flexible and context-dependent sensorimotor sequences
Xu, D., Dong, M., Chen, Y., Delgado, A. M., Hughes, N., Zhang, L., & O’Connor, D. H. (2022) · Nature · doi:10.1038/s41586-022-04478-7 · Cited by 86 · see citing works
Reevaluating the Role of Persistent Neural Activity in Short-Term Memory
Masse, N. Y., Rosen, M. C., & Freedman, D. J. (2020) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2019.12.014 · Cited by 79 · see citing works
“Despite previous work [29,30] showing that the ALM supports persistent activity, the mechanism underlying the emergence of the discrete attractors remained unclear.”
BackgroundA cortico-basal ganglia-thalamo-cortical channel underlying short-term memory
Wang, Y., Yin, X., Zhang, Z., Li, J., Zhao, W., & Guo, Z. V. (2021) · Neuron · doi:10.1016/j.neuron.2021.08.002 · Cited by 56 · see citing works
Secondary Motor Cortex Transforms Spatial Information into Planned Action During Navigation
Olson, J. M., Li, J. K., Montgomery, S. E., & Nitz, D. (2019) · bioRxiv · doi:10.1101/776765 · Cited by 49
State-Dependent Subnetworks of Parvalbumin-Expressing Interneurons in Neocortex
García‐Junco‐Clemente, P., Tring, E., Ringach, D. L., & Trachtenberg, J. T. (2019) · Cell Reports · doi:10.1016/j.celrep.2019.02.005 · Cited by 45 · see citing works
“cortex, a region strongly engaged during decision-making (Guo et al., 2014, 2017; Inagaki et al., 2018) as well as the primary visual cortex (V1).”
BackgroundFlexible motor sequence generation during stereotyped escape responses
Wang, Y., Zhang, X., Qi, X., Hung, W., Florman, J., Huo, J., Xu, T., Xie, Y., Alkema, M. J., Zhen, M., et al. (2020) · eLife · doi:10.7554/elife.56942 · Cited by 49 · see citing works
“On the other hand, neural networks, whether adaptive or hard-wired, have structures that shape population neural dynamics onto a low dimensional manifold, where nonrandom and ordered activity patterns emerge (Ganguli et al., 2008; Harvey et al., 2012; Inagaki et al., 2018).”
BackgroundAccurate Localization of Linear Probe Electrode Arrays across Multiple Brains
Liu, L. D., Chen, S., Hou, H., West, S. J., Faulkner, M., Economo, M. N., Li, N., & Svoboda, K. (2021) · eNeuro · doi:10.1523/eneuro.0241-21.2021 · Cited by 53 · see citing works
“0) in head-fixed mice performing an auditory delayed response task (Inagaki et al., 2018).”
BackgroundMethodInfluentialSelf-citationPurkinje cells translate subjective salience into readiness to act and choice performance
Bina, L., Romano, V., Hoogland, T. M., Bosman, L. W. J., & Zeeuw, C. I. D. (2021) · Cell Reports · doi:10.1016/j.celrep.2021.110116 · Cited by 38 · see citing works
Wei, Z., Inagaki, H., Li, N., Svoboda, K., & Druckmann, S. (2019) · Nature Communications · doi:10.1038/s41467-018-08141-6 · Cited by 44 · see citing works
Self-citationCognitive experience alters cortical involvement in goal-directed navigation
Arlt, C., Barroso-Luque, R., Kira, S., Bruno, C. A., Xia, N., Chettih, S. N., Soares, S., Pettit, N. L., & Harvey, C. D. (2022) · eLife · doi:10.7554/elife.76051 · Cited by 33 · see citing works
Separating cognitive and motor processes in the behaving mouse
Hasnain, M. A., Birnbaum, J. E., Nunez, J. L. U., Hartman, E. K., Chandrasekaran, C., & Economo, M. N. (2025) · Nature Neuroscience · doi:10.1038/s41593-024-01859-1 · Cited by 27 · see citing works
Not everything, not everywhere, not all at once: a study of brain-wide encoding of movementPreprint
Wang, Z., Chen, S.-S., Liu, Y., Liu, D., Svoboda, K., Li, N., & Druckmann, S. (2023) · bioRxiv · doi:10.1101/2023.06.08.544257 · Cited by 20 · see citing works
Self-citationLateralization of short-term memory in the frontal cortex
Yin, X., Wang, Y., Li, J., & Guo, Z. V. (2022) · Cell Reports · doi:10.1016/j.celrep.2022.111190 · Cited by 19 · see citing works
Functional alterations of the prefrontal circuit underlying cognitive aging in mice
Chong, H. R., Ranjbar-Slamloo, Y., Ho, M. Z. H., Ouyang, X., & Kamigaki, T. (2023) · Nature Communications · doi:10.1038/s41467-023-43142-0 · Cited by 19 · see citing works
Cell type-specific connectome predicts distributed working memory activity in the mouse brain
Ding, X., Froudist‐Walsh, S., Jaramillo, J., Jiang, J., & Wang, X. (2023) · eLife · doi:10.7554/elife.85442 · Cited by 22 · see citing works
“Our model thus predicts that working memory may share common activation patterns across sensory modalities, which is partially supported by cortical recordings during a memory-guided response task ( Inagaki et al., 2018 ).”
BackgroundCognitive computation using neural representations of time and space in the Laplace domainPreprint
Howard, M. W., & Hasselmo, M. E. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2003.11668 · Cited by 15 · see citing works
Discrete attractor dynamics underlying selective persistent activity in frontal cortexPreprint
Inagaki, H. K., Fontolan, L., Romani, S., & Svoboda, K. (2017) · bioRxiv · doi:10.1101/203448 · Cited by 17 · see citing works
Self-citationCortical Localization of the Sensory-Motor Transformation in a Whisker Detection Task in Mice
Zareian, B., Zhang, Z., & Zagha, E. (2021) · eNeuro · doi:10.1523/eneuro.0004-21.2021 · Cited by 15 · see citing works
Kim, C. M., Finkelstein, A., Chow, C. C., Svoboda, K., & Darshan, R. (2023) · Nature Communications · doi:10.1038/s41467-023-38529-y · Cited by 18 · see citing works
“Similarly to neurons in the primate motor cortex [28, 29, 30], the activity of many neurons in ALM ramps slowly during motor preparation and is selective to future actions [21, 31, 32].”
BackgroundSelf-citationProbing Cortical Activity During Head-Fixed Behavior
Bjerre, A.-S., & Palmer, L. M. (2020) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2020.00030 · Cited by 11 · see citing works
Accurate localization of linear probe electrodes across multiple brainsPreprint
Liu, L. D., Chen, S.-S., Economo, M., Li, N., & Svoboda, K. (2020) · bioRxiv · doi:10.1101/2020.02.25.965210 · Cited by 15 · see citing works
“Recordings Electrophysiological recordings were made with Neuropixels probes (Phase 3A and B) in head-fixed mice performing an auditory delayed response task (Inagaki et al., 2018).”
MethodSelf-citationChen, K., Vincis, R., & Fontanini, A. (2018) · bioRxiv · doi:10.1093/cercor/bhz005 · Cited by 15
“ALM plays an important role in the planning and execution of licking (Komiyama et al. 2010; Guo, Hires et al. 2014; Li et al. 2015; Inagaki et al. 2018), as reflected by the presence of neurons whose firing rates are modulated before the onset of licking (defined as “preparatory” neurons) (Guo, Hires et al.”
BackgroundInfluentialLearning Temporal Relationships Between Symbols with Laplace Neural Manifolds
Howard, M. W., Esfahani, Z. G., Le, B., & Sederberg, P. B. (2024) · Computational Brain & Behavior · doi:10.1007/s42113-024-00230-8 · Cited by 8 · see citing works
Learning enhances representations of taste-guided decisions in the mouse gustatory insular cortex
Kogan, J. F., & Fontanini, A. (2024) · Current Biology · doi:10.1016/j.cub.2024.03.034 · Cited by 24 · see citing works
“51,52 Neural Data Analysis All analysis of neural data was performed on the second psychometric testing session when the following stimuli were presented (% sucrose in mixture): 100, 75, 60, 40, 25, 0.”
MethodNeuronal oscillations and the mouse prefrontal cortex
Jung, F., & Carlén, M. (2021) · International review of neurobiology · doi:10.1016/bs.irn.2020.11.005 · Cited by 12 · see citing works
Brain-wide analysis reveals movement encoding structured across and within brain areas
Wang, Z., Kurgyis, B., Chen, S.-S., Kang, B., Chen, F., Liu, Y., Liu, D., Svoboda, K., Li, N., & Druckmann, S. (2025) · Nature Neuroscience · doi:10.1038/s41593-025-02114-x · Cited by 11 · see citing works
“Mice were trained to perform directional licking (lick-left or lick-right) depending on the frequency of a series of pure tones presented to the animal (12-kHz tones instruct lick-left; 3-kHz tones instruct lick-right) to obtain water rewards 32 (Fig.”
Self-citationFeedforward amplification in recurrent networks underlies paradoxical neural codingPreprint
Daie, K., Fontolan, L., Druckmann, S., & Svoboda, K. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.08.04.552026 · Cited by 13 · see citing works
Self-citationA midbrain - thalamus - cortex circuit reorganizes cortical dynamics to initiate planned movement
Inagaki, H. K., Chen, S.-S., Ridder, M., Sah, P., Li, N., Yang, Z., Hasanbegović, H., Gao, Z.-Y., Gerfen, C., & Svoboda, K. (2020) · bioRxiv · doi:10.1101/2020.12.16.423127 · Cited by 10
“These three directions in activity space, together with a fourth direction that captures non-selective ramping activity during the delay epoch (Li et al., 2016; Inagaki et al., 2018), account for 87.”
BackgroundResultInfluentialSelf-citationDelay activity dynamics: task dependent time encoding and low dimensional trajectories
Cueva, C. J., Marcos, E., Saez, A., Genovesio, A., Jazayeri, M., Romo, R., Salzman, C., Shadlen, M., & Fusi, S. (2018) · bioRxiv · doi:10.1101/504936 · Cited by 10 · see citing works
Pereira-Obilinovic, U., Daie, K., Chen, S.-S., Svoboda, K., & Darshan, R. (2025) · bioRxiv · doi:10.1101/2025.11.20.689599 · Cited by 9
“…2016; Finkelstein et al. 2021; Inagaki et al. 2022; Daie et al. 2023; Wang et al. 2021; Chen et al. 2024), as it is strongly correlated with the animal’s upcoming decision (Inagaki et al. 2019) and remains stable throughout the delay period (Li et al. 2016; Inagaki et al. 2018; Daie et al. 2023).”
Self-citationTang, Y., Yang, H., Chen, X., Zhang, Z., Yao, X., Yin, X., & Guo, Z. V. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.12.15.472735 · Cited by 12 · see citing works
“The projection to the first vector resulted in nonselective ramping activity, and this vector was referred to as the ramping mode (Inagaki et al., 2018).”
BackgroundA functional cortical network for sensorimotor sequence generationPreprint
Xu, D., Chen, Y., Delgado, Á., Hughes, N. C., Zhang, L., Dong, M., & O'Connor, D. H. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/783050 · Cited by 9 · see citing works
Sex-dependent noradrenergic modulation of premotor cortex during decision-making
Rodberg, E. M., den Hartog, C. D., Dauster, E. S., & Vazey, E. (2022) · bioRxiv · doi:10.1101/2022.12.06.519304 · Cited by 8
“In particular, M2 units show preferential activation for cues/actions based on egocentric location and active inhibition for opposing cues/actions (Inagaki et al., 2018; Wei et al., 2019).”
Corbit, V. L., Piantadosi, S. C., Wood, J. T., Madireddy, S. S., Choi, C. J. Y., Witten, I. B., Gittis, A. H., & Ahmari, S. E. (2025) · Cell Reports · doi:10.1016/j.celrep.2024.115181 · Cited by 2 · see citing works
“19,26 41–43 One important distinction between our results and this prior work is that previous studies all looked at trained tasks in which the anticipated response was well known.”
Xie, Y., Li, M., Gao, B., Cao, Y., Fu, P., Xing, Y., Liang, D., & Jiang, S. (2021) · Neural Regeneration Research · doi:10.4103/1673-5374.330615 · Cited by 9 · see citing works
“The most commonly used behavior test for “preparatory activity” in mice is auditory and tactile delayed-response tasks (Inagaki et al., 2018).”
Yu, B., Li, P., Xu, H., Wang, Y., Xu, K., & Hao, Y. (2025) · eLife · doi:10.7554/elife.104833 · Cited by 6 · see citing works
“We next deployed a well-established mouse behavioral paradigm, delayed two-alternative forced choice (d2AFC), which was used to study motor planning in mouse Guo et al., 2014b ; Inagaki et al., 2018 , in HABITS to demonstrate the performance of our system ( Figure 2 ).”
Ranjbar-Slamloo, Y., Chong, H. R., & Kamigaki, T. (2025) · Communications Biology · doi:10.1038/s42003-025-07498-x · Cited by 5 · see citing works
Limiting Hearing Loss in Transgenic Mouse Models
Babola, T. A., Donovan, N., Darcy, S. S., Spjut, C. D., & Kanold, P. (2024) · eNeuro · doi:10.1523/eneuro.0465-24.2025 · Cited by 5
“…performs worse at high frequencies and low sound levels in ahl B6 mice C57BL/6 mice are commonly used in behavioral experiments involving acoustic stimuli (Inagaki et al., 2018; Guo et al., 2019; Breton-Provencher et al., 2022), but our results suggest that these animals process sounds differently.”
Unsupervised learning for robust working memory
Gu, J., & Lim, S. (2022) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1009083 · Cited by 9 · see citing works
Core principles for the implementation of the neurodata without borders data standard
Reimer, M. L., Bangalore, L., Waxman, S. G., & Tan, A. M. (2020) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2020.108972 · Cited by 7 · see citing works
Salimian, S., Grier, H. A., & Kaufman, M. (2026) · bioRxiv · doi:10.1101/2025.10.02.680044 · Cited by 4
“Finally, our approach did not clearly identify the anterolateral motor area (ALM; Chen et al., 2017 ; Inagaki et al., 2018 ; Li et al., 2015 ) within M2, although this may be a consequence of the time period analyzed; a time window targeted to the period of withdrawal and water consumption might…”
West, S. L., Gerhart, M. L., & Ebner, T. J. (2024) · Nature Communications · doi:10.1038/s41467-024-51816-6 · Cited by 15 · see citing works
“With this evidence taken into account, our findings support that M2 is involved in a locomotion inhibition mechanism utilized in decelerating but not in accelerating under similar conditions.”
InfluentialDo, J., Jung, M. W., & Lee, D. (2023) · Scientific Reports · doi:10.1038/s41598-023-49862-z · Cited by 8 · see citing works
Movement and performance predict widespread cortical activity in a visual detection taskPreprint
Salkoff, D. B., Zagha, E., McCarthy, E., & McCormick, D. A. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/709642 · Cited by 8 · see citing works
“…in M2/ALM during performance of learned lick responses reveals neuronal activity that precedes and predicts the performance of licks (Komiyama et al. 2010; Li et al. 2016; Inagaki et al. 2019, 2018; Chen et al. 2017; Guo et al. 2014; Erlich, Bialek, and Brody 2011; Zagha, Ge, and McCormick 2015).”
BackgroundScheib, J., Newman, Z. L., Gable, J., Farinella, D., Head, M., Bliese, S., Dougen, B., Jayakumar, H., Young, S., Miller, N., et al. (2026) · bioRxiv · doi:10.64898/2026.05.06.722323 · Cited by 3
“Initial training and task structure were similar to previous studies ( Guo et al., 2014a ; Guo et al., 2014b ; Inagaki et al., 2018 ) and shown in Figure 1A.”
Cortical dopaminergic signaling mediates planning of directional movements
Chen, J., & Fontanini, A. (2025) · Science Advances · doi:10.1126/sciadv.adt2730 · Cited by 2 · see citing works
“Neural activity in ALM links sensory and motor encoding through preparatory firing that begins during stimulus presentation or during the delay period and persists until movement onset ( 5 – 9 ).”
InfluentialEmbodied sensorimotor control: computational modeling of the neural control of movement
Almani, M. N., Lazzari, J., Walker, J. D., & Saxena, S. (2025) · arXiv.org · doi:10.48550/arxiv.2509.14360 · Cited by 3
“Preparatory ac-8 tivity in this setting resembles a population ramp to threshold (41).”
Ramping dynamics in the frontal cortex unfold over multiple timescales during motor planning
Affan, R. O., Bright, I. M., Pemberton, L. N., Cruzado, N. A., Scott, B. B., & Howard, M. W. (2025) · Journal of Neurophysiology · doi:10.1152/jn.00234.2024 · Cited by 12 · see citing works
“We used a model-based approach (7, 18) to analyze an open-source dataset (12, 17) containing preprocessed extracellular recordings from the ALM cortex of mice performing a delayed response task.”
InfluentialManley, J., Demas, J., Kim, H., Traub, F., & Vaziri, A. (2024) · bioRxiv · doi:10.1101/2024.01.15.575721 · Cited by 3
“We speculate that these additional dimensions reflect neural computations that are temporally structured at timepoints near movement, but not instantaneously correlated with them, such as motor planning and decision making (Briggman et al., 2005; Inagaki et al., 2018; Svoboda and Li, 2018).”
BackgroundSparse and distributed cortical populations mediate sensorimotor integrationPreprint
Pancholi, R., Sun-Yan, A., Laughton, M., & Peron, S. (2023) · bioRxiv · doi:10.1101/2023.09.21.558857 · Cited by 3 · see citing works
“Both somatosensory 42,43 and motor 5,44 cortices contain neurons with mixed touch-movement selectivity, raising the question of whether these neurons function to bridge somatosensory and motor assembly activity.”
BackgroundResponse to “Fallacies of Mice Experiments”
Gao, Z., Thomas, A. M., Economo, M. N., Abrego, A. M., Svoboda, K., Zeeuw, C. I. D., & Li, N. (2019) · Neuroinformatics · doi:10.1007/s12021-019-09433-y · Cited by 4 · see citing works
Self-citationSingle-neuron selectivity rules underlying population representations in prefrontal cortexPreprint
Böhm, C., & Lee, A. K. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.01.16.524214 · Cited by 5 · see citing works
“To test if the underlying neural code for time was based on sequential firing, we employed a modified version of a previously described method 32 .”
Chae, S., Sohn, J.-W., & Kim, S.-P. (2023) · bioRxiv · doi:10.1101/2023.07.20.548512 · Cited by 2
“A detailed description of data collection procedure can be found in Inagaki et al. (Inagaki et al., 2018; Inagaki et al., 2019).”
BackgroundMethodInfluentialInvestigation of Neural Substrates of Erroneous Behavior in a Delayed-Response Task
Chae, S., Sohn, J.-W., & Kim, S.-P. (2022) · eNeuro · doi:10.1523/eneuro.0490-21.2022 · Cited by 2
“Then, we estimated the selectivity of a neuron from data in the same way as the previous studies (Li et al., 2015; Inagaki et al., 2018).”
BackgroundResultInfluentialNeural correlates of perceptual decision-making in the primary somatosensory cortex
Armstrong, A. G., & Vlasov, Y. (2026) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2514107123 · Cited by 1 · see citing works
“Hence, peak 4 is likely to reflect participation of the primary somatosensory cortex in motor preparatory activity, often observed in higher motor cortices (12–14).”
Open source laser-scanning photostimulation for neuroscience with Zapit
Lohse, M., Gauld, O. M., Quigley, M. T., Masood, A., Bao, C.-F., Li, J.-J., Miska, N. J., Nabbefeld, G., Pajot-Moric, Q., Townsend, S., et al. (2026) · bioRxiv · doi:10.1101/2024.02.12.579892 · Cited by 1
“…can direct a focused laser beam to specified positions on the skull (Guo, Li, et al. 2014; Li et al. 2016; Heindorf, Arber, and Keller 2018; Inagaki et al. 2018; Pinto et al. 2019; Keller, Roth, and Scanziani 2020; Esmaeili et al. 2021; Voitov and Mrsic-Flogel 2022; Pinto, Tank, and Brody…”
Tuft Dendrite Spikes Are Accompanied by Selective Input From Distinct Functional Networks
Gable, J., Newman, Z. L., Young, S., Scheib, J., Bliese, S., Miller, N., & Kerlin, A. (2026) · Journal of Neuroscience · doi:10.1523/jneurosci.0974-26.2026
“1 A ; Guo et al., 2014; Inagaki et al., 2018).”
Mapping neural subspace dynamics onto the structure of the mouse descending motor systemPreprint
Hasnain, M. A., Han, Y., & Economo, M. N. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.10.17.682917 · Cited by 2 · see citing works
“Following a brief delay epoch, a go cue instructed mice to perform a directional tongue movement 10,58,59 ( Fig.”
Neural Correlates of Perceptual Decision Making in Primary Somatosensory Cortex
Armstrong, A. G., & Vlasov, Y. D. (2025) · bioRxiv · doi:10.1101/2025.03.29.646003 · Cited by 1
“Therefore, this global regulation is unlikely to originate directly from frontal cortical pre-motor areas 24-26 since frontal cortices have a very high degree of symmetry for both ipsilateral and contralateral projections 57 .”
Hippocampal sequences represent working memory and implicit timing
Dorian, C. C., Taxidis, J., Buonomano, D., & Golshani, P. (2025) · bioRxiv · doi:10.1101/2025.03.17.643736 · Cited by 1
Jodar, T. O., Prat-Ortega, G., Li, C., Dalmau, J. O., Compte, A., & de la Rocha, J. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.02.18.579447
“…Desimone 1996; Romo et al. 1999; Miyashita and Chang 1988; David J. Freedman and Assad 2006; D. J. Freedman et al. 2001) and rodents (Baeg et al. 2003; Fujisawa et al. 2008; Erlich, Bialek, and Brody 2011; Harvey, Coen, and Tank 2012; Inagaki et al. 2018, 2019; Goard et al. 2016; Liu et al. 2014).”
BackgroundCognitive experience alters cortical involvement in navigation decisions
Arlt, C., Barroso-Luque, R., Kira, S., Bruno, C. A., Xia, N., Chettih, S. N., Soares, S., Pettit, N. L., & Harvey, C. D. (2021) · bioRxiv · doi:10.1101/2021.12.10.472106 · Cited by 1
“…behavioral, and cognitive features (Ceballo et al., 2019; Erlich et al., 2011; Fischer et al., 2020; Goard et al., 2016; Guo et al., 2014; Harvey et al., 2012; Inagaki et al., 2018; Licata et al., 2017; Raposo et al., 2014; Yang & Zador, 2012; Zhou & Freedman, 2019; Znamenskiy & Zador, 2013).”
BackgroundTaken out of Context: A Novel Cognitive Role for a Premotor Circuit.
Gire, D. H. (2020) · Neuron · doi:10.1016/j.neuron.2020.03.027 · Cited by 1
Neuroscience for an Artist; a Beginning
Bizzi, E., & Ajemian, R. (2021) · Lecture Notes in Morphogenesis · doi:10.1007/978-3-030-57227-3_6 · Cited by 1 · see citing works
Scheib, J., Newman, Z. L., Gable, J., Farinella, D., Head, M. A., Bliese, S., Dougen, B., Jayakumar, H., Young, S., Miller, N., et al. (2026) · eLife · doi:10.7554/elife.111876
“Mice were trained to perform an auditory-cued directional licking task ( Figure 1A ; Guo et al., 2014b ; Inagaki et al., 2018 ) with two target lickports approximately equidistant from the mouth ( Figure 1A and B ).”
van den Boom, B. J. G., Dash, D., Rutherford, M., Girasole, A., Gorelik, P., Mazor, O., & Sabatini, B. L. (2026) · bioRxiv · doi:10.64898/2026.08.21.746318
“These preparations permit large-scale recordings with two-photon calcium imaging 7–9 and high-density electrophysiology 6,10,11 , and enable causal interrogation of neural circuits using optogenetics 12–14 .”
Tuft dendrite spikes are accompanied by selective input from distinct functional networks
Gable, J., Newman, Z. L., Young, S., Scheib, J., Bliese, S., Miller, N., & Kerlin, A. (2026) · bioRxiv · doi:10.64898/2026.06.10.731464
“1A; 39, 40).”
Rapid integration of somatosensory feedback in planning tongue movements
Kim, J. J., Dong, M., & O'Connor, D. H. (2026) · bioRxiv · doi:10.64898/2026.03.03.709371
“11 However, how sensory processing, motor preparation, and motor execution occur during sequences of movements flexibly constructed on-the-fly remains incompletely understood.”
Hippocampal sequences represent working memory and implicit timing
Dorian, C. C., Taxidis, J., Buonomano, D. V., & Golshani, P. (2025) · Cell Reports · doi:10.1016/j.celrep.2025.116383 · Cited by 2 · see citing works
Learning enhances representations of taste-guided decisions in the mouse gustatory insular cortex
Kogan, J. F., & Fontanini, A. (2023) · bioRxiv · doi:10.1101/2023.10.16.562605
“51,52 Neural Data Analysis All analysis of neural data was performed on the second psychometric testing session when the following stimuli were presented (% sucrose in mixture): 100, 75, 60, 40, 25, 0.”
Bias in Prestimulus Motor Cortical Activity Determines Decision-making Error in Rodents
Chae, S., Sihn, D., & Kim, S.-P. (2023) · Experimental Neurobiology · doi:10.5607/en23020
“For example, the anterior lateral motor cortex (ALM) is involved in decision-making through the deliberation of appropriate actions based on sensory evidence [2-8].”
BackgroundSeparating cognitive and motor processes in the behaving mouse
Hasnain, M. A., Birnbaum, J. E., Nunez, J., Hartman, E. K., Chandrasekaran, C., & Economo, M. N. (2023) · bioRxiv · doi:10.1101/2023.08.23.554474
“We next defined CD ramp as the direction that captures trial-type independent increases or decreases in preparatory activity between the onset of the stimulus and the go cue in DR trials 61,62,67,68 .”
A Model For Hierarchical Memory Storage in Piriform CortexPreprint
Kumar, A. (2022) · bioRxiv · doi:10.1101/2022.10.27.514001
“In addition to potentially explaining the functionality of piriform cortex, attractor dynamics have been used to explain previous experimental work regarding persistent activity of certain neurons in monkeys [8, 9] and mice [10] during working memory tasks.”
MethodImproving Latent Factor Analysis via Self-supervised Signal Extracting
Huang, Y., & Yu, Z. (2022) · International Conference on Bioinformatics and Intelligent Computing (BIC) · doi:10.1145/3523286.3524586
“Studying the underlying low-dimensional representations of the recorded neural spikes is of great significance for understanding mechanisms of cognitive processes, such as fictive locomotion [3], motor planning [12], the Olfaction system [27], auditory stimulus responses [2].”
BackgroundExtracting single-trial neural interaction using latent dynamical systems model
Huh, N., Kim, S.-P., Lee, J., & Sohn, J.-W. (2021) · Molecular Brain · doi:10.1186/s13041-021-00740-7
Neuronal Mechanisms Underlying Motor Planning
Inagaki, H. K. (2020) · The Brain & Neural Networks · doi:10.3902/jnns.27.97
Self-citation
- Authors
- Inagaki, H. K., Inagaki, M., Romani, S., & Svoboda, K.
- Affiliations
- Howard Hughes Medical Institute (US)
- Corresponding author
- Svoboda, Karel
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2018-03-28
- Volume
- 38
- Issue
- 17
- Pages
- 4163-4185
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC6596025
- OpenAlex
- W2949634824
- Cited by
- 111
- References
- 74
- Citations by year
- 2026: 16 · 2025: 17 · 2024: 12 · 2023: 12 · 2022: 11 · 2021: 14 · 2020: 14 · 2019: 10 · 2018: 5
- FWCI
- 6.40
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Neuroscience (publishedVersion, cc-by-nc-sa)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Howard Hughes Medical Institute
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Motor Control and Adaptation
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Keywords
- preparatory activity, anterior lateral motor cortex, delayed response, licking behavior, direction selectivity, spike count correlations, motor planning, short-term memory
- MeSH terms
- Animals, Auditory Perception, Male, Memory, Short-Term, Mice, Inbred C57BL, Motor Cortex, Movement, Neurons, Psychomotor Performance, Mice, Touch Perception
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