This web page was created programmatically, to learn the article in its unique location you may go to the hyperlink bellow:
https://www.nature.com/articles/s41586-025-09758-6
and if you wish to take away this text from our web site please contact us
Hubel, D. H. & Wiesel, T. N. Receptive fields, binocular interplay and purposeful structure within the cat’s visible cortex. J. Physiol. 160, 106–154 (1962).
Cossell, L. et al. Functional group of excitatory synaptic power in main visible cortex. Nature 518, 399–403 (2015).
Chettih, S. N. & Harvey, C. D. Single-neuron perturbations reveal feature-specific competitors in V1. Nature 567, 334–340 (2019).
Rickgauer, J. P., Deisseroth, Okay. & Tank, D. W. Simultaneous cellular-resolution optical perturbation and imaging of place cell firing fields. Nat. Neurosci. 17, 1816–1824 (2014).
Daie, Okay., Svoboda, Okay. & Druckmann, S. Targeted photostimulation uncovers circuit motifs supporting short-term reminiscence. Nat. Neurosci. 24, 259–265 (2021).
Randi, F., Sharma, A. Okay., Dvali, S. & Leifer, A. M. Neural sign propagation atlas of Caenorhabditis elegans. Nature 623, 406–414 (2023).
Bruce, C. J. & Goldberg, M. E. Primate frontal eye fields. I. Single neurons discharging earlier than saccades. J. Neurophysiol. 53, 603–635 (1985).
Georgopoulos, A. P., Kalaska, J. F., Caminiti, R. & Massey, J. T. On the relations between the course of two-dimensional arm actions and cell discharge in primate motor cortex. J. Neurosci. 2, 1527–1537 (1982).
Guo, Z. V. et al. Flow of cortical exercise underlying a tactile resolution in mice. Neuron 81, 179–194 (2014).
Peters, A. J., Chen, S. X. & Komiyama, T. Emergence of reproducible spatiotemporal exercise throughout motor studying. Nature 510, 263–267 (2014).
Finkelstein, A. et al. Attractor dynamics gate cortical info circulate throughout decision-making. Nat. Neurosci. 24, 843–850 (2021).
Xu, D. et al. Cortical processing of versatile and context-dependent sensorimotor sequences. Nature 603, 464–469 (2022).
Stepanyants, A. et al. Local potential connectivity in cat main visible cortex. Cereb. Cortex 18, 13–28 (2008).
Schneider-Mizell, C. M. et al. Inhibitory specificity from a connectomic census of mouse visible cortex. Nature 640, 448–458 (2025).
DeNardo, L. A., Berns, D. S., DeLoach, Okay. & Luo, L. Connectivity of mouse somatosensory and prefrontal cortex examined with trans-synaptic tracing. Nat. Neurosci. 18, 1687–1697 (2015).
Rowland, J. M. et al. Propagation of exercise via the cortical hierarchy and notion are decided by neural variability. Nat. Neurosci. 26, 1584–1594 (2023).
Scott, S. H. Inconvenient truths about neural processing in main motor cortex. J. Physiol. 586, 1217–1224 (2008).
Tanji, J. & Evarts, E. V. Anticipatory exercise of motor cortex neurons in relation to course of an meant motion. J. Neurophysiol. 39, 1062–1068 (1976).
Komiyama, T. et al. Learning-related fine-scale specificity imaged in motor cortex circuits of behaving mice. Nature 464, 1182–1186 (2010).
Huber, D. et al. Multiple dynamic representations within the motor cortex throughout sensorimotor studying. Nature 484, 473–478 (2012).
Esmaeili, V. et al. Rapid suppression and sustained activation of distinct cortical areas for a delayed sensory-triggered motor response. Neuron 109, 2183–2201 (2021).
Bollu, T. et al. Cortex-dependent corrections because the tongue reaches for and misses targets. Nature 594, 82–87 (2021).
Inagaki, H. Okay. et al. Neural algorithms and circuits for motor planning. Annu. Rev. Neurosci. 45, 249–271 (2022).
Schultz, W. & Dayan, P. & Montague, P. R. A neural substrate of prediction and reward. Science 275, 1593–1599 (1997).
Stuphorn, V., Taylor, T. L. & Schall, J. D. Performance monitoring by the supplementary eye discipline. Nature 408, 857–860 (2000).
Hirokawa, J., Vaughan, A., Masset, P., Ott, T. & Kepecs, A. Frontal cortex neuron varieties categorically encode single resolution variables. Nature 576, 446–451 (2019).
Levy, S. et al. Cell-type-specific consequence illustration within the main motor cortex. Neuron 107, 954–971 (2020).
Pereira-Obilinovic, U., Hou, H., Svoboda, Okay. & Wang, X.-J. Brain mechanism of foraging: Reward-dependent synaptic plasticity versus neural integration of values. Proc. Natl Acad. Sci. USA 121, e2318521121 (2024).
Franks, Okay. M. et al. Recurrent circuitry dynamically shapes the activation of piriform cortex. Neuron 72, 49–56 (2011).
Levy, R. B. & Reyes, A. D. Spatial profile of excitatory and inhibitory synaptic connectivity in mouse main auditory cortex. J. Neurosci. 32, 5609–5619 (2012).
Oldenburg, I. A. et al. The logic of recurrent circuits within the main visible cortex. Nat. Neurosci. 27, 137–147 (2024).
Emiliani, V., Cohen, A. E., Deisseroth, Okay. & Häusser, M. All-optical interrogation of neural circuits. J. Neurosci. 35, 13917–13926 (2015).
Packer, A. M., Russell, L. E., Dalgleish, H. W. P. & Häusser, M. Simultaneous all-optical manipulation and recording of neural circuit exercise with mobile decision in vivo. Nat. Methods 12, 140–146 (2015).
LaFosse, P. Okay. et al. Cellular-resolution optogenetics reveals attenuation-by-suppression in visible cortical neurons. Proc. Natl Acad. Sci. USA 121, e2318837121 (2024).
Hooks, B. M. et al. Laminar evaluation of excitatory native circuits in vibrissal motor and sensory cortical areas. PLoS Biol. 9, e1000572 (2011).
Mateo, C. et al. In vivo optogenetic stimulation of neocortical excitatory neurons drives brain-state-dependent inhibition. Curr. Biol. 21, 1593–1602 (2011).
Sadeh, S. & Clopath, C. Theory of neuronal perturbome in cortical networks. Proc. Natl Acad. Sci. USA 117, 26966–26976 (2020).
Perin, R., Berger, T. Okay. & Markram, H. A synaptic organizing precept for cortical neuronal teams. Proc. Natl Acad. Sci. USA 108, 5419–5424 (2011).
Yu, Y.-C., Bultje, R. S., Wang, X. & Shi, S.-H. Specific synapses develop preferentially amongst sister excitatory neurons within the neocortex. Nature 458, 501–504 (2009).
Khona, M. & Fiete, I. R. Attractor and integrator networks within the mind. Nat. Rev. Neurosci. 23, 744–766 (2022).
Rosenbaum, R., Smith, M. A., Kohn, A., Rubin, J. E. & Doiron, B. The spatial construction of correlated neuronal variability. Nat. Neurosci. 20, 107–114 (2017).
Darshan, R., van Vreeswijk, C. & Hansel, D. Strength of correlations in strongly recurrent neuronal networks. Phys. Rev. X 8, 031072 (2018).
Gal, E. et al. Rich cell-type-specific community topology in neocortical microcircuitry. Nat. Neurosci. 20, 1004–1013 (2017).
Ben-Yishai, R., Bar-Or, R. L. & Sompolinsky, H. Theory of orientation tuning in visible cortex. Proc. Natl Acad. Sci. USA 92, 3844–3848 (1995).
Douglas, R. J., Koch, C., Mahowald, M., Martin, Okay. A. C. & Suarez, H. H. Recurrent excitation in neocortical circuits. Science 269, 981–985 (1995).
Platt, M. L. & Glimcher, P. W. Neural correlates of resolution variables in parietal cortex. Nature 400, 233–238 (1999).
Bari, B. A. et al. Stable representations of resolution variables for versatile conduct. Neuron 103, 922–933 (2019).
Hattori, R., Danskin, B., Babic, Z., Mlynaryk, N. & Komiyama, T. Area-specificity and plasticity of history-dependent worth coding throughout studying. Cell 177, 1858–1872 (2019).
Lee, R. S., Sagiv, Y., Engelhard, B., Witten, I. B. & Daw, N. D. A feature-specific prediction error mannequin explains dopaminergic heterogeneity. Nat. Neurosci. 27, 1574–1586 (2024).
Lillicrap, T. P., Santoro, A., Marris, L., Akerman, C. J. & Hinton, G. Backpropagation and the mind. Nat. Rev. Neurosci. 21, 335–346 (2020).
Lee, W.-C. A. et al. Anatomy and performance of an excitatory community within the visible cortex. Nature 532, 370–374 (2016).
Kuan, A. T. et al. Synaptic wiring motifs in posterior parietal cortex assist decision-making. Nature 627, 367–373 (2024).
Ohki, Okay., Chung, S., Ch’ng, Y. H., Kara, P. & Reid, R. C. Functional imaging with mobile decision reveals exact micro-architecture in visible cortex. Nature 433, 597–603 (2005).
Georgopoulos, A. P., Merchant, H., Naselaris, T. & Amirikian, B. Mapping of the popular course within the motor cortex. Proc. Natl Acad. Sci. USA 104, 11068–11072 (2007).
Dombeck, D. A., Graziano, M. S. & Tank, D. W. Functional clustering of neurons in motor cortex decided by mobile decision imaging in awake behaving mice. J. Neurosci. 29, 13751–13760 (2009).
Song, S., Sjöström, P. J., Reigl, M., Nelson, S. & Chklovskii, D. B. Highly nonrandom options of synaptic connectivity in native cortical circuits. PLoS Biol. 3, e350 (2005).
Amsalem, O., Inagaki, H., Yu, J., Svoboda, Okay. & Darshan, R. Sub-threshold neuronal exercise and the dynamical regime of cerebral cortex. Nat. Commun. 15, 7958 (2024).
Towlson, E. Okay., Vértes, P. E., Ahnert, S. E., Schafer, W. R. & Bullmore, E. T. The wealthy membership of the C. elegans neuronal connectome. J. Neurosci. 33, 6380–6387 (2013).
Bonifazi, P. et al. GABAergic hub neurons orchestrate synchrony in growing hippocampal networks. Science 326, 1419–1424 (2009).
Bollmann, Y. et al. Prominent in vivo affect of single interneurons within the growing barrel cortex. Nat. Neurosci. 26, 1555–1565 (2023).
Chen, T.-W. et al. Ultrasensitive fluorescent proteins for imaging neuronal exercise. Nature 499, 295–300 (2013).
Daie, Okay. et al. ALM window surgical procedure. protocols.io (2023).
Klapoetke, N. C. et al. Independent optical excitation of distinct neural populations. Nat. Methods 11, 338–346 (2014).
Mathis, A. et al. DeepLabCut: markerless pose estimation of user-defined physique components with deep studying. Nat. Neurosci. 21, 1281–1289 (2018).
Pachitariu, M. et al. Suite2p: past 10,000 neurons with customary two-photon microscopy. Preprint at bioRxiv (2017).
Friedrich, J., Zhou, P. & Paninski, L. Fast on-line deconvolution of calcium imaging knowledge. PLoS Comput. Biol. 13, e1005423 (2017).
Svoboda, Okay., Denk, W., Kleinfeld, D. & Tank, D. W. In vivo dendritic calcium dynamics in neocortical pyramidal neurons. Nature 385, 161–165 (1997).
Friston, Okay. J. Functional and efficient connectivity in neuroimaging: a synthesis. Human Brain Mapping 2, 56–78 (1994).
Fornito, A., Zalesky, A., Bullmore, E. T. (eds) Fundamentals of Brain Network Analysis (Academic, 2016)
Xie, X., Hahnloser, R. H. R. & Seung, H. S. Double-ring community mannequin of the head-direction system. Phys. Rev. E 66, 041902 (2002).
Yatsenko, D. et al. DataJoint: managing huge scientific knowledge utilizing MATLAB or Python. Preprint at bioRxiv (2015).
Tyler, E. & Kravitz, L. Mouse. Zenodo (2020).
This web page was created programmatically, to learn the article in its unique location you may go to the hyperlink bellow:
https://www.nature.com/articles/s41586-025-09758-6
and if you wish to take away this text from our web site please contact us
This web page was created programmatically, to learn the article in its authentic location you…
This web page was created programmatically, to learn the article in its unique location you…
This web page was created programmatically, to learn the article in its unique location you…
This web page was created programmatically, to learn the article in its authentic location you…
This web page was created programmatically, to learn the article in its unique location you…
This web page was created programmatically, to learn the article in its authentic location you'll…