Distributed representations of prediction error signals across the cortical hierarchy are synergistic

Nature Communications, Journal Year: 2024, Volume and Issue: 15(1)

Published: May 10, 2024

Abstract A relevant question concerning inter-areal communication in the cortex is whether these interactions are synergistic. Synergy refers to complementary effect of multiple brain signals conveying more information than sum each isolated signal. Redundancy, on other hand, common shared between signals. Here, we dissociated cortical encoding (synergy) from those sharing (redundancy) during prediction error (PE) processing. We analyzed auditory and frontal electrocorticography (ECoG) five awake marmosets performing two distinct oddball tasks investigated what extent event-related potentials (ERP) broadband (BB) dynamics encoded synergistic redundant about PE The conveyed by ERPs BB was even at lower stages hierarchy regions. Using a brain-constrained neural network, simulated synergy redundancy observed experimental results demonstrated that emergence regions requires presence strong, long-distance, feedback, feedforward connections. These indicate distributed representations across can be highly

Language: Английский

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Pre-frontal cortex guides dimension-reducing transformations in the occipito-ventral pathway for categorization behaviors

Current Biology, Journal Year: 2024, Volume and Issue: 34(15), P. 3392 - 3404.e5

Published: July 18, 2024

Highlights•Occipital cortex represents both task-relevant and irrelevant features before 120 ms•Only advance to the temporal region•During 121–150 ms, occipital representations reduce lower-dimensional manifolds•These manifolds then transform into from 161 350 msSummaryTo interpret our surroundings, brain uses a visual categorization process. Current theories models suggest that this process comprises hierarchy of different computations transforms complex, high-dimensional inputs (i.e., manifolds) in support multiple behaviors. Here, we tested hypothesis by analyzing these transformations reflected dynamic MEG source activity while individual participants actively categorized same stimuli according tasks: face expression, gender, pedestrian vehicle type. Results reveal three transformation stages guided pre-frontal cortex. At stage 1 (high-dimensional, 50–120 ms), sources represent task-irrelevant stimulus features; higher ventral/dorsal regions, whereas halt at occipital-temporal junction. 2 (121–150 feature manifolds, which underlying behavior over 3 (161–350 ms). Our findings shed light on how brain's network mechanisms specific behaviors.Graphical abstract

Language: Английский

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Distributed representations of prediction error signals across the cortical hierarchy are synergistic

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: Jan. 13, 2023

Abstract An important question concerning inter-areal communication in the cortex is whether these interactions are synergistic, i.e. brain signals can either share common information (redundancy) or they encode complementary that only available when both considered together (synergy). Here, we dissociated cortical sharing from those encoding during prediction error processing. To this end, computed co-information, an information-theoretical measure distinguishes redundant synergistic among signals. We analyzed auditory and frontal electrocorticography (ECoG) five awake marmosets performing two distinct oddball tasks investigated to what extent event-related potentials (ERP) broadband (BB) dynamics encoded In tasks, observed multiple patterns of synergy across entire hierarchy with dynamics. The conveyed by ERPs BB was highly even at lower stages cortex, as well between regions. Using a brain-constrained neural network, simulated spatio-temporal redundancy experimental results further demonstrated emergence regions requires presence strong, long-distance, feedback feedforward connections. These indicate distributed representations be synergistic.

Language: Английский

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Strength of predicted information content in the brain biases decision behavior

Current Biology, Journal Year: 2023, Volume and Issue: 33(24), P. 5505 - 5514.e6

Published: Dec. 1, 2023

Prediction-for-perception theories suggest that the brain predicts incoming stimuli to facilitate their categorization.1Smith F.W. Muckli L. Nonstimulated early visual areas carry information about surrounding context.Proc. Natl. Acad. Sci. USA. 2010; 107: 20099-20103Crossref PubMed Scopus (120) Google Scholar,2Uran C. Peter A. Lazar Barnes W. Klon-Lipok J. Shapcott K.A. Roese R. Fries P. Singer Vinck M. Predictive coding of natural images by V1 firing rates and rhythmic synchronization.Neuron. 2022; 110: 1240-1257.e8Abstract Full Text PDF (13) Scholar,3Clark Whatever next? brains, situated agents, future cognitive science.Behav. Brain 2013; 36: 181-204Crossref (2877) Scholar,4Friston K. The free-energy principle: a unified theory?.Nat. Rev. Neurosci. 11: 127-138Crossref (3852) Scholar,5Gilbert C.D. Sigman states: top-down influences in sensory processing.Neuron. 2007; 54: 677-696Abstract (627) Scholar,6Yuille Kersten D. Vision as Bayesian inference: analysis synthesis?.Trends Cogn. 2006; 10: 301-308Abstract (506) Scholar,7Glenberg A.M. What memory is for.Behav. 1997; 20: 1-19Crossref (1092) Scholar,8Ye Z. Shi Li Chen Xue G. Retrieval practice facilitates updating enhancing differentiating medial prefrontal cortex representations.eLife. 2020; 9e57023Crossref (16) Scholar,9De Lange F.P. Heilbron Kok How do expectations shape perception?.Trends 2018; 22: 764-779Abstract (376) Scholar,10Kok Jehee J.F.M. de Less more: expectation sharpens representations primary cortex.Neuron. 2012; 75: 265-270Abstract (441) Scholar,11Bar Kassam K.S. Ghuman A.S. Boshyan Schmid Dale Hämäläinen M.S. Marinkovic Schacter D.L. Rosen B.R. et al.Top-down facilitation recognition.Proc. 103: 449-454Crossref (1166) Scholar,12Stein T. Peelen M.V. Content-specific enhance stimulus detectability increasing perceptual sensitivity.J. Exp. Psychol. Gen. 2015; 144: 1089-1104Crossref Scholar,13Michalareas Vezoli Van Pelt S. Schoffelen J.M. Kennedy H. Alpha-beta gamma rhythms subserve feedback feedforward among human cortical areas.Neuron. 2016; 89: 384-397Abstract (417) Scholar,14Benedek Bergner Könen Fink Neubauer A.C. EEG alpha synchronization related processing convergent divergent thinking.Neuropsychologia. 2011; 49: 3505-3511Crossref (214) Scholar,15Lobier Palva High-alpha band across frontal, parietal mediates behavioral neuronal effects visuospatial attention.NeuroImage. 165: 222-237Crossref (82) Scholar,16Brandman Avancini Leticevscaia O. Auditory semantic cues decoding object category MEG.Cereb. Cortex. 30: 597-606Google Scholar,17Treder Charest I. Michelmann Martín-Buro M.C. Roux F. Carceller-Benito Ugalde-Canitrot Rollings D.T. Sawlani V. Chelvarajah al.The hippocampus switchboard between perception memory.Proc. 2021; 118e2114171118Crossref Scholar However, it remains unknown what contents these predictions are, which hinders mechanistic explanations. This because typical approaches cast an underconstrained contrast two categories18Linde-Domingo Treder Kerrén Wimber Evidence neural flow reversed reconstruction from memory.Nat. Commun. 2019; 179Crossref (56) Scholar,19Dijkstra N. Ambrogioni Vidaurre van Gerven Neural dynamics inference its reversal during imagery.eLife. 9e53588Crossref (29) Scholar,20Kok Mostert De Prior induce prestimulus templates.Proc. 2017; 114: 10473-10478Crossref (162) Scholar,21Lee S.H. Kravitz D.J. Baker C.I. Disentangling imagery real-world objects.NeuroImage. 59: 4064-4073Crossref (143) Scholar,22Hindy N.C. Ng F.Y. Turk-Browne N.B. Linking pattern completion predictive cortex.Nat. 19: 665-667Crossref Scholar,23Dijkstra Bosch S.E. M.A.J. Shared mechanisms imagery.Trends 23: 423-434Abstract (121) Scholar,24Kerrén Linde-Domingo Hanslmayr An optimal oscillatory phase for reactivation retrieval.Curr. Biol. 28: 3383-3392.e6Abstract (53) Scholar—e.g., faces versus cars, could lead features specific or both categories. Here, pinpoint thus brain, we identified enable different categorical perceptions same stimuli. We then trained multivariate classifiers discern, dynamic MEG responses, tied each perception. With auditory cueing design, reveal where, when, how reactivates (versus contrast) before shown. demonstrate have more direct influence (bias) on subsequent decision behavior participants than contrast. Specifically, are precisely localized (lateralized), specifically driven cues, strength presentation exerts greater bias individual participant later categorizes this stimulus. By characterizing processes, our findings provide new insights into brain's prediction

Language: Английский

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The Brain Computes Dynamic Facial Movements for Emotion Categorization Using a Third Pathway

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: May 8, 2024

Abstract Recent theories suggest a new brain pathway dedicated to processing social movement is involved in understanding emotions from biological motion, beyond the well-known ventral and dorsal pathways. However, how this functions as network that computes dynamic motion signals for perceptual behavior unchartered. Here, we used generative model of important facial movements participants (N = 10) categorized “happy,” “surprise,” “fear,” “anger,” “disgust,” “sad” while recorded their MEG responses. Using representational interaction measures (between features, t source, behavioral responses), reveal per participant functional extending occipital cortex superior temporal gyrus. Its sources selectively represent, communicate compose disambiguate emotion categorization behavior, swiftly filters out task-irrelevant identity-defining face shape features. Our findings complex categorize individual participants.

Language: Английский

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