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Predicting human perceptual decisions by decoding neuronal information profiles

Tzvetomir Tzvetanov, Thilo Womelsdorf
2008 Biological cybernetics  
models considered in the literature (population vector, maximum likelihood, maximum-a-posteriori Bayesian inference).  ...  How the response profile of a neuronal population gives rise to perception and perceptual discrimination has been conceptualized in various ways.  ...  Open Access This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided  ... 
doi:10.1007/s00422-008-0226-0 pmid:18373103 pmcid:PMC2799009 fatcat:ll6mg2kshbhtnhgmkmft2aexbu

Canonical Microcircuits for Predictive Coding

Andre M. Bastos, W. Martin Usrey, Rick A. Adams, George R. Mangun, Pascal Fries, Karl J. Friston
2012 Neuron  
We revisit the established idea that message passing among hierarchical cortical areas implements a form of Bayesian inference-paying careful attention to the implications for intrinsic connections among  ...  This Perspective considers the influential notion of a canonical (cortical) microcircuit in light of recent theories about neuronal processing.  ...  ACKNOWLEDGMENTS Bosman, Laurent Perrinet, and Henry Kennedy for helpful discussions. We would also like to thank our reviewers for helpful comments and guidance.  ... 
doi:10.1016/j.neuron.2012.10.038 pmid:23177956 pmcid:PMC3777738 fatcat:di7vbakfwng33pczwwgzmfi3km

Solutions to the Binding Problem

Anne Treisman
1999 Neuron  
Synchronispectrum analysis of bursting cells in area MT in the behaving monzation in neuronal transmission and its importance for information key. .  ...  -U., and Pawelzik, K. (1993). Alternating oscillatory and Albright, T.D., and Stoner, G.R. (1995). Visual motion perception. stochastic dynamics in a model for a neuronal assembly. Physica Proc.  ...  Attentional modulation of problem of integrating multiple cortical areas: simulation of dynamic visual motion processing in cortical areas MT and MST. Nature 382, integration in the visual system.  ... 
doi:10.1016/s0896-6273(00)80826-0 pmid:10677031 fatcat:egeleazdefhmtpa2kiqhlsno2y

Cortical Correlates of Low-Level Perception: From Neural Circuits to Percepts

Yves Frégnac, Brice Bathellier
2015 Neuron  
This review identifies bottleneck issues concerning the role of early primary sensory cortical areas, mostly in rodent and higher mammals (cats and non-human primates), where perception substrates can  ...  benchmarks for sensory stimulation, on the simultaneous acquisition of neural data at multiple spatio-temporal scales, and on the in vivo identification of key generic integration and plasticity algorithms  ...  We also would like to extend our thanks to the participants of the NYU workshop on canonical plasticity held at La Pietra Villa in July 2015, where some of these views were discussed.  ... 
doi:10.1016/j.neuron.2015.09.041 pmid:26447576 fatcat:j676gb4xprhttkonxy5jc2wgh4

Primary visual cortex neurons that contribute to resolve the aperture problem

K. Guo, R. Robertson, A. Nevado, M. Pulgarin, S. Mahmoodi, M.P. Young
2006 Neuroscience  
With the stimulation of an optimally oriented bar drifting across the classical receptive field in different global directions, here we show that a subpopulation of primary visual cortex neurons (25/81  ...  Recent results, however, show that primary visual cortex neurons can integrate spatially and temporally distributed cues outside the classical receptive field, and so we reexamined whether primary visual  ...  This feedback information may further provide the top-down priors for geometric inference in area V1 in a hierarchical Bayesian inference framework which has been demonstrated in the computation of perceptual  ... 
doi:10.1016/j.neuroscience.2005.12.016 pmid:16446037 fatcat:46zjgaaa75fdzomgyyrydtn3oq

Visual Motion Processing and Human Tracking Behavior [chapter]

Anna Montagnini, Laurent U. Perrinet, Guillaume S. Masson
2015 Biologically Inspired Computer Vision  
In order to optimize tracking performance across time, a quick estimate of the object's global motion properties needs to be fed to the oculomotor system and dynamically updated.  ...  well established paradigms in the visual perception and oculomotor literature we provide the basis to test theoretical hypotheses within the framework of dynamic probabilistic inference.  ...  L.U.P wishes to thank Karl Friston and Rick Adams and the The Wellcome Trust Centre for Neuroimaging, University College London, for their essential contribution in the closed-loop delayed model.  ... 
doi:10.1002/9783527680863.ch12 fatcat:hoy3ih7wfzg53mo7k24dun5qc4

Relating divisive normalization to neuronal response variability

Ruben Coen-Cagli, Selina S. Solomon
2019 Journal of Neuroscience  
The resulting model predicts a general stabilizing effect of normalization on neuronal responses, and allows us to infer the single-trial normalization strength, a quantity that cannot be measured directly  ...  We test the model on neuronal responses to stimuli of varying contrast, recorded in primary visual cortex of male macaques.  ...  in cortical MT by reducing interneuronal correlations.  ... 
doi:10.1523/jneurosci.0126-19.2019 pmid:31387914 pmcid:PMC6759019 fatcat:efolopjxenbtbm3f2sbyqd4wpq

Integration of form and motion within a generative model of visual cortex

Paul Sajda, Kyungim Baek
2004 Neural Networks  
We describe a probabilistic approach which uses a generative network model for integrating form and motion cues using the machinery of belief propagation and Bayesian inference.  ...  The result is that the model can account for the continuum of bias seen for motion coherence and perceived object motion in psychophysical experiments. q  ...  Acknowledgements This work was supported by the DoD Multidisciplinary University Research Initiative (MURI) program administered by the Office of Naval Research under grant N00014-01-1-0625, and a grant  ... 
doi:10.1016/j.neunet.2004.03.013 pmid:15288899 fatcat:q6kz6c6555f57nw7c4ocdgu7wa

Motion-Based Prediction Is Sufficient to Solve the Aperture Problem

Laurent U. Perrinet, Guillaume S. Masson
2012 Neural Computation  
In low-level sensory systems, it is still unclear how the noisy information collected locally by neurons may give rise to a coherent global percept.  ...  We observe in simulations a progressive solution to the aperture problem similar to physio-logy and behavior. We demonstrate that this solution is the result of two underlying mechanisms.  ...  Acknowledgments This work is supported by EC IP project FP6-015879, "FACETS" and FP7-269921, "BrainScaleS".  ... 
doi:10.1162/neco_a_00332 pmid:22734489 pmcid:PMC3472550 fatcat:7l3nzrrc3fdfdbs4xluuqz3uo4

Visual Motion Perception [chapter]

S. Grossberg
2012 Encyclopedia of Human Behavior  
All the cortical areas V1, V2, MT, and MST are involved in these interactions.  ...  A neural model is used to clarify and organize many perceptual and brain data about form and motion interactions, including data about motion grouping across apertures in response to a wide variety of  ...  Grossberg was supported in part by by CELEST, a National Science Foundation Science of  ... 
doi:10.1016/b978-0-12-375000-6.00370-0 fatcat:xbqtgdx2ifcvvnm7eqy7k5lsiq

Visual Motion Perception [chapter]

2006 Analog VLSI Circuits for the Perception of Visual Motion  
All the cortical areas V1, V2, MT, and MST are involved in these interactions.  ...  A neural model is used to clarify and organize many perceptual and brain data about form and motion interactions, including data about motion grouping across apertures in response to a wide variety of  ...  Grossberg was supported in part by by CELEST, a National Science Foundation Science of  ... 
doi:10.1002/0470034890.ch2 fatcat:dn4kk3lxobeh3hp3cefbovoo24

Neuronal Firing Rate As Code Length: a Hypothesis

Ning Qian, Jun Zhang
2019 Computational Brain & Behavior  
We propose that in sensory areas, projection neurons' firing rates are proportional to optimal code length (i.e., negative log estimated probability), and their spike patterns are the code, for useful  ...  However, this contradicts (1) the adaptation phenomena where prolonged exposure to, and thus increased probability of, a stimulus reduces the firing rates of cells tuned to the stimulus; and (2) the observation  ...  Jay Myung for encouraging us to explore this topic and for his many helpful comments and suggestions. Funding Information This work was supported by AFOSR FA9550-15-1-0439 and NSF 1754211.  ... 
doi:10.1007/s42113-019-00028-z fatcat:qakih4q4gvevbfbjkxtiynca4a

Anisotropic connectivity implements motion-based prediction in a spiking neural network

Bernhard A. Kaplan, Anders Lansner, Guillaume S. Masson, Laurent U. Perrinet
2013 Frontiers in Computational Neuroscience  
We present a network model of conductance-based integrate-and-fire neurons inspired by the architecture of retinotopic cortical areas that assumes predictive coding is implemented through network connectivity  ...  , namely in the connection delays and in selectiveness for the tuning properties of source and target cells.  ...  These results pinpoint the key role of MT neurons in local motion analysis and global motion integration.  ... 
doi:10.3389/fncom.2013.00112 pmid:24062680 pmcid:PMC3775506 fatcat:tegtccttkjdnjaajjtjzey5tla

COMPLETE FUNCTIONAL CHARACTERIZATION OF SENSORY NEURONS BY SYSTEM IDENTIFICATION

Michael C.-K. Wu, Stephen V. David, Jack L. Gallant
2006 Annual Review of Neuroscience  
In this chapter we review many of the system identification algorithms that have been used in sensory neurophysiology, and we show how they can be viewed as variants of a single statistical inference problem  ...  System identification is a growing approach to sensory neurophysiology that facilitates the development of quantitative functional models of sensory processing.  ...  ACKNOWLEDGMENTS Preparation of this article was supported by grants from the NEI and the NIMH ( J.L.G), a DOE Computational Science Graduate Fellowship (M.C.-K.W.), and the NSF (S.V.D.).  ... 
doi:10.1146/annurev.neuro.29.051605.113024 pmid:16776594 fatcat:6qa62htaqjblfktbr3xpmflly4

A probabilistic, distributed, recursive mechanism for decision-making in the brain

Javier A. Caballero, Mark D. Humphries, Kevin N. Gurney, Jean Daunizeau
2018 PLoS Computational Biology  
Acknowledgments We thank Anne Churchland, Roozbeh Kiani, Michael Shadlen, Long Ding, and Joshua Gold for sharing their experimental data and the Humphries lab (Abhinav Singh, Mathew Evans, and Silvia Maggi  ...  ), Rafal Bogacz, and Long Ding for discussions.  ...  Second, that LIP neurons change their coding during learning of the dot motion task and MT neurons do not [59] , implying that learning the task requires mapping of MT to LIP populations by synaptic plasticity  ... 
doi:10.1371/journal.pcbi.1006033 pmid:29614077 pmcid:PMC5882111 fatcat:ud566igmozb4hexxvfj6mdjdn4
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