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Predicting human perceptual decisions by decoding neuronal information profiles
2008
Biological cybernetics
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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
2012
Neuron
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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
1999
Neuron
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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
2015
Neuron
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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
2006
Neuroscience
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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]
2015
Biologically Inspired Computer Vision
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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
2019
Journal of Neuroscience
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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
2004
Neural Networks
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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
2012
Neural Computation
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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]
2012
Encyclopedia of Human Behavior
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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
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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
2019
Computational Brain & Behavior
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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
2013
Frontiers in Computational Neuroscience
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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
2006
Annual Review of Neuroscience
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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
2018
PLoS Computational Biology
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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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