MULTIMODAL MISMATCH RESPONSES IN MOUSE AUDITORY CORTEX DOI Open Access
Magdalena Sołyga, Georg B. Keller

Published: Nov. 18, 2024

Our movements result in predictable sensory feedback that is often multimodal. Based on deviations between predictions and actual input, primary areas of cortex have been shown to compute sensorimotor prediction errors. How errors one modality influence the computation another still unclear. To investigate multimodal mouse auditory (ACx), we used a virtual environment experimentally couple running both self-generated visual feedback. Using two-photon microscopy, first characterized responses layer 2/3 (L2/3) neurons sounds, stimuli, onsets found all three stimuli. Probing evoked by audiomotor mismatches, they closely resemble visuomotor mismatch (V1). Finally, testing for cross modal coupling sound amplitude flow speed running, were amplified when paired with concurrent mismatches. results demonstrate non-hierarchical interactions shape error cortical L2/3. *** Dear reader, please note this manuscript formatted standard submission format, statistical information provided Table S1.

Language: Английский

Molecularly targetable cell types in mouse visual cortex have distinguishable prediction error responses DOI Creative Commons

Sean M. O’Toole,

Hassana K. Oyibo, Georg B. Keller

et al.

Neuron, Journal Year: 2023, Volume and Issue: 111(18), P. 2918 - 2928.e8

Published: Sept. 1, 2023

Predictive processing postulates the existence of prediction error neurons in cortex. Neurons with both negative and positive response properties have been identified layer 2/3 visual cortex, but whether they correspond to transcriptionally defined subpopulations is unclear. Here we used activity-dependent, photoconvertible marker CaMPARI2 tag mouse cortex during stimuli behaviors designed evoke errors. We performed single-cell RNA-sequencing on these populations found that previously annotated Adamts2 Rrad transcriptional cell types were enriched when photolabeling drive or responses, respectively. Finally, validated results functionally by designing artificial promoters for use AAV vectors express genetically encoded calcium indicators. Thus, distinct can be targeted using exhibit distinguishable responses.

Language: Английский

Citations

43
Sound elicits stereotyped facial movements that provide a sensitive index of hearing abilities in mice DOI
Kameron K. Clayton, Kamryn S. Stecyk,

Anna Guo

et al.

Current Biology, Journal Year: 2024, Volume and Issue: 34(8), P. 1605 - 1620.e5

Published: March 15, 2024

Language: Английский

Citations

19
Cooperative thalamocortical circuit mechanism for sensory prediction errors DOI Creative Commons

Shohei Furutachi,

Alexis D. Franklin, Andreea M. Aldea

et al.

Nature, Journal Year: 2024, Volume and Issue: 633(8029), P. 398 - 406

Published: Aug. 28, 2024

Abstract The brain functions as a prediction machine, utilizing an internal model of the world to anticipate sensations and outcomes our actions. Discrepancies between expected actual events, referred errors, are leveraged update guide attention towards unexpected events 1–10 . Despite importance prediction-error signals for various neural computations across brain, surprisingly little is known about circuit mechanisms responsible their implementation. Here we describe thalamocortical disinhibitory that required generating sensory in mouse primary visual cortex (V1). We show violating animals’ predictions by stimulus preferentially boosts responses layer 2/3 V1 neurons most selective stimulus. Prediction errors specifically amplify input, rather than representing non-specific surprise or difference how input deviates from animal’s predictions. This amplification implemented cooperative mechanism requiring thalamic pulvinar cortical vasoactive-intestinal-peptide-expressing (VIP) inhibitory interneurons. In response VIP inhibit specific subpopulation somatostatin-expressing interneurons gate excitatory V1, resulting pulvinar-driven stimulus-selective V1. Therefore, prioritizes unpredicted information selectively increasing salience features through synergistic interaction neocortical circuits.

Language: Английский

Citations

16
Predictive attenuation of touch and tactile gating are distinct perceptual phenomena DOI Creative Commons
Konstantina Kilteni,

H. Henrik Ehrsson

iScience, Journal Year: 2022, Volume and Issue: 25(4), P. 104077 - 104077

Published: March 14, 2022

In recent decades, research on somatosensory perception has led to two important observations. First, self-generated touches that are predicted by voluntary movements become attenuated compared with externally generated of the same intensity (attenuation). Second, feel weaker and more difficult detect during movement than at rest (gating). At present, researchers often consider gating attenuation suppression process; however, this assumption is unwarranted because, despite 40 years research, no study combined them in a single paradigm. We quantified how people perceive rest. show whereas gates precision both touch, amplitude touch robustly touch. Furthermore, do not interact correlated, we conclude they represent distinct perceptual phenomena.

Language: Английский

Citations

48
Predictions and errors are distinctly represented across V1 layers DOI Creative Commons
Emily R. Thomas, Joost Haarsma,

Jessica Nicholson

et al.

Current Biology, Journal Year: 2024, Volume and Issue: 34(10), P. 2265 - 2271.e4

Published: May 1, 2024

Popular accounts of mind and brain propose that the continuously forms predictions about future sensory inputs combines with to determine what we perceive.1Bar M. Visual objects in context.Nat. Rev. Neurosci. 2004; 5: 617-629https://doi.org/10.1038/nrn1476Crossref PubMed Scopus (1153) Google Scholar,2Yuille A. Kersten D. Vision as Bayesian inference: analysis by synthesis?.Trends Cogn. Sci. 2006; 10: 301-308https://doi.org/10.1016/j.tics.2006.05.002Abstract Full Text PDF (526) Scholar,3de Lange F.P. Heilbron Kok P. How Do Expectations Shape Perception?.Trends 2018; 22: 764-779https://doi.org/10.1016/j.tics.2018.06.002Abstract (420) Scholar,4Press C. Yon The Perceptual Prediction Paradox.Trends 2020; 24: 13-24https://doi.org/10.1016/J.TICS.2019.11.003Abstract Scholar,5Den Ouden H.E. De Errors Perception, Attention, Motivation.Front. Psychol. 2012; 3: 548https://doi.org/10.3389/fpsyg.2012.00548Crossref (260) Scholar,6Kaiser Quek G.L. Cichy R.M. Peelen M.V. Object a Structured World.Trends 2019; 23: 672-685https://doi.org/10.1016/j.tics.2019.04.013Abstract (71) Scholar Under "predictive processing" schemes, such integration is supported hierarchical organization cortex, whereby feedback connections communicate from higher-level deep layers agranular (superficial deep) lower-level layers.7Felleman D.J. Van Essen D.C. Distributed Hierarchical Processing Primate Cerebral Cortex.Cereb. Cortex. 1991; 1: 1-47https://doi.org/10.1093/cercor/1.1.1-aCrossref (8) Scholar,8Rockland K.S. Virga Terminal arbors individual "Feedback" axons projecting area V2 V1 macaque monkey: A study using immunohistochemistry anterogradely transported Phaseolus vulgaris-leucoagglutinin.J. Comp. Neurol. 1989; 285: 54-72https://doi.org/10.1002/cne.902850106Crossref (185) Scholar,9van Kerkoerle T. Self M.W. Roelfsema P.R. Layer-specificity effects attention working memory on activity primary visual cortex.Nat. Commun. 2017; 8: 13804https://doi.org/10.1038/ncomms13804Crossref (111) Scholar,10Yu Y. Huber L. Yang J. Jangraw Handwerker D.A. Molfese P.J. Chen G. Ejima Wu Bandettini P.A. Layer-specific activation input predictive human somatosensory cortex.Sci. Adv. 5eaav9053https://doi.org/10.1126/sciadv.aav9053Crossref (44) Predictions are compared compute "prediction error," which transmitted up hierarchy superficial lower cortical regions middle higher areas, update until errors reconciled.11Friston K. theory responses.Philos. Trans. R. Soc. Lond. B Biol. 2005; 360: 815-836https://doi.org/10.1098/rstb.2005.1622Crossref (2834) Scholar,12Bastos A.M. Usrey W.M. Adams R.A. Mangun G.R. Fries Friston K.J. Canonical Microcircuits for Predictive Coding.Neuron. 76: 695-711https://doi.org/10.1016/j.neuron.2012.10.038Abstract (1390) Scholar,13Kanai Komura Shipp S. hierarchies: processing, precision pulvinar.Philos. 2015; 370https://doi.org/10.1098/rstb.2014.0169Crossref (243) Scholar,14Rao R.P.N. Ballard D.H. coding cortex: functional interpretation some extra-classical receptive-field effects.Nat. 1999; 2: 79-87https://doi.org/10.1038/4580Crossref (3210) Scholar,15Stephan K.E. Petzschner F.H. Kasper Bayer Wellstein K.V. Stefanics Pruessmann K.P. Heinzle Laminar fMRI computational theories function.NeuroImage. 197: 699-706https://doi.org/10.1016/j.neuroimage.2017.11.001Crossref (37) In cortex (V1), have thereby been proposed influence representations while error signals may be computed layers. Despite framework's popularity, there little evidence these distinctions because, our knowledge, unexpected events not previously presented laminar paradigms contrast against expected events. To this end, 7T contrasted responses (75% likely) (25%) Gabor orientations. Multivariate decoding analyses revealed an interaction between expectation layer, could decoded comparable accuracy across layers, only laminae. Although results line popular decades, demonstrated humans. We discuss how both prediction processes operate together shape unitary perceptual experiences.

Language: Английский

Citations

13
Behavior-relevant top-down cross-modal predictions in mouse neocortex DOI
Shuting Han, Fritjof Helmchen

Nature Neuroscience, Journal Year: 2024, Volume and Issue: 27(2), P. 298 - 308

Published: Jan. 4, 2024

Language: Английский

Citations

12
A sensory–motor theory of the neocortex DOI
Rajesh P. N. Rao

Nature Neuroscience, Journal Year: 2024, Volume and Issue: 27(7), P. 1221 - 1235

Published: June 27, 2024

Language: Английский

Citations

12
Movement-Related Modulation in Mouse Auditory Cortex Is Widespread Yet Locally Diverse DOI Creative Commons
Karin Morandell, A. Yin,

Rodrigo Triana Del Rio

et al.

Journal of Neuroscience, Journal Year: 2024, Volume and Issue: 44(11), P. e1227232024 - e1227232024

Published: Jan. 29, 2024

Neurons in the mouse auditory cortex are strongly influenced by behavior, including both suppression and enhancement of sound-evoked responses during movement. The comprises multiple fields with different roles sound processing distinct connectivity to movement-related centers brain. Here, we asked whether modulation male mice might differ across cortical fields, thereby contributing heterogeneity at single-cell level. We used wide-field calcium imaging identify cellular-resolution two-photon visualize activity layer 2/3 excitatory neurons within each field. measured neuron's three categories (pure tones, chirps, amplitude-modulated white noise) as rested ran on a non-motorized treadmill. found that individual field typically respond just one category. Some only active rest others locomotion, those responsive conditions retain their sound-category tuning. effects locomotion vary level, neural responses, net modulatory effect is largely conserved fields. Movement-related also reflects more complex behavioral patterns, instantaneous running speed nonlocomotor movements such grooming postural adjustments, similar patterns seen all Our findings underscore complexity throughout indicate widespread phenomenon.

Language: Английский

Citations

9
Detection and neural encoding of whisker-generated sounds in mice DOI

B.G. Efron,

Athanasios Ntelezos,

Yonatan Katz

et al.

Current Biology, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 1, 2025

Language: Английский

Citations

1
Stimulus-Specific Prediction Error Neurons in Mouse Auditory Cortex DOI Creative Commons
Nicholas J. Audette, David M. Schneider

Journal of Neuroscience, Journal Year: 2023, Volume and Issue: 43(43), P. 7119 - 7129

Published: Sept. 12, 2023

Comparing expectation with experience is an important neural computation performed throughout the brain and a hallmark of predictive processing. Experiments that alter sensory outcome animal's behavior reveal enhanced responses to unexpected self-generated stimuli, indicating populations neurons in cortex may reflect prediction errors (PEs), mismatches between experience. However, stimuli could also arise through nonpredictive mechanisms, such as movement-based facilitation neuron's inherent sound responses. If error exist cortex, it unknown whether they manifest general responses, or respond specificity distinct stimulus dimensions. To answer these questions, we trained mice either sex expect simple sound-generating recorded auditory activity heard expected sounds deviated from one multiple Our data learns suppress along acoustic dimensions simultaneously. We identify population are not responsive passive but encode errors. These abundant only animals learned motor-sensory expectation, two specific violations rather than generic signal. Together, findings cortical predictions about have simultaneous expectation.

Language: Английский

Citations

20