Two frequency bands contain the most stimulus-related information in visual cortex

Cm, Lewis; Ca, Bosman; Nm, Brunet; Lima, Bruss; Mj, Roberts; Womelsdorf, Thilo; P, De Weerd; Neuenschwander, Sergio; Singer, W.

doi:10.1101/049718

Cited by 6 publications

(7 citation statements)

References 59 publications

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“…In both LFP and ECoG, we found high image information in gamma (30 -80 Hz) and lower frequencies (1-12 Hz). Similar results in a free viewing task have been reported previously (Lewis et al, 2016). We observed increased information if these frequencies were combined.…”

Section: Relationship With Previous Studiessupporting

confidence: 92%

“…As seen from Figure 10, this is dominated by the lower frequencies, which led to high overall values for LFP and ECoG accuracies. These results are consistent with a recent study, which showed high image decoding using early response in a free viewing task (Lewis et al, 2016), as well as another study that performed category classification using ECoG signals from humans (Liu et al, 2009). Figure 12 shows the decoding accuracies for late (A) and early (B) periods using FPR.…”

Section: Single-electrode Decoding Performance Across Scalessupporting

confidence: 91%

“…ECoGs have previously been used for decoding movements (Hu et al, 2018), speech (Mugler et al, 2014), object categories (Liu et al, 2009;Majima et al, 2014), and stimulus location and images (Lewis et al, 2016). We add to this literature by performing a direct comparison across simultaneously recorded scales, and showing that not only is ECoG efficient, but it outperforms other signals, at least in our recording conditions.…”

Section: Relationship With Previous Studiesmentioning

confidence: 76%

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Electrocorticogram (ECoG) Is Highly Informative in Primate Visual Cortex

Kanth

Ray

2020

J. Neurosci.

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Neural signals recorded at different scales contain information about environment and behavior and have been used to control Brain Machine Interfaces with varying degrees of success. However, a direct comparison of their efficacy has not been possible due to different recording setups, tasks, species, etc. To address this, we implanted customized arrays having both microelectrodes and electrocorticogram (ECoG) electrodes in the primary visual cortex of 2 female macaque monkeys, and also recorded electroencephalogram (EEG), while they viewed a variety of naturalistic images and parametric gratings. Surprisingly, ECoG had higher information and decodability than all other signals. Combining a few ECoG electrodes allowed more accurate decoding than combining a much larger number of microelectrodes. Control analyses showed that higher decoding accuracy of ECoG compared with local field potential was not because of differences in low-level visual features captured by them but instead because of larger spatial summation of the ECoG. Information was high in the 30-80 Hz range and at lower frequencies. Information in different frequencies and scales was nonredundant. These results have strong implications for Brain Machine Interface applications and for study of population representation of visual stimuli.

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Section: Relationship With Previous Studiessupporting

confidence: 92%

Section: Single-electrode Decoding Performance Across Scalessupporting

confidence: 91%

Section: Relationship With Previous Studiesmentioning

confidence: 76%

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Electrocorticogram (ECoG) Is Highly Informative in Primate Visual Cortex

Kanth

Ray

2020

J. Neurosci.

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“…Parts of the data have been used in other publications (Bastos et al, 2015a;Bastos et al, 2015b;Bosman et al, 2012;Brunet et al, 2015;Brunet et al, 2014a;Brunet et al, 2014b;Hindriks et al, 2017;Lewis et al, 2016a;Lewis et al, 2016b;Pinotsis et al, 2014;Richter et al, 2015Richter et al, , 2017Rubehn et al, 2009;Spyropoulos et al, 2017;Vinck et al, 2015).…”

Section: Methodsmentioning

confidence: 99%

Gamma synchronization between V1 and V4 improves behavioral performance

Rohenkohl

Bosman

2018

Preprint

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Rohenkohl et al., Gamma synchronization between V1 and V4 improves behavioral performance 1 ABSTRACT Motor behavior is often driven by visual stimuli, relying on efficient feedforward communication from lower to higher visual areas. The Communicationthrough-Coherence hypothesis proposes that interareal communication depends on coherence at an optimal phase relation. While previous studies have linked effective communication to enhanced interareal coherence, it remains unclear, whether this interareal coherence occurs at an optimal phase relation that actually improves the stimulus transmission to behavioral report. We recorded local field potentials simultaneously from areas V1 and V4 of macaque monkeys performing a selective visual attention task, during which they reported changes of the attended stimulus. Gamma synchronization between V1 and V4, immediately preceding the stimulus change, predicted subsequent reaction times (RTs). Crucially, RTs were systematically slowed as trial-by-trial interareal gamma phase relations deviated from the phase relation at which V1 and V4 synchronized on average. These effects were specific to the attended stimulus and not due to local power or phase inside V1 or V4. We conclude that interareal gamma synchronization occurs at the optimal phase relation and thereby improves interareal communication and the effective transformation of sensory inputs into motor responses.Correspondence should be addressed to PF (pascal.fries@esi-frankfurt.de) Rohenkohl et al., Gamma synchronization between V1 and V4 improves behavioral performance

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“…We observed that information about the presence of a stimulus (detection decoding), as well as information about stimulus identity (discrimination decoding), were both predominantly conveyed in low (delta-theta) and high (gamma, high-gamma) frequency bands when we considered power and mostly by low frequencies when phase was taken into account, with high frequencies being also informative in some subjects. Interestingly, such a dual timescale profile of neural coding has also been reported in the visual system (Kayser and König, 2004;Belitski et al, 2008;Belitski et al, 2010;Lewis et al, 2016b), suggesting that it might be a general organizational principle of sensory neural processing.…”

Section: Dual Timescale Processing In Auditory Cortexmentioning

confidence: 58%

Converging intracortical signatures of two separated processing timescales in human early auditory cortex

Baroni

Morillon

Trébuchon

et al. 2019

Preprint

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Neural oscillations in auditory cortex are argued to support parsing and representing speech constituents at their corresponding temporal scales. Yet, how incoming sensory information interacts with ongoing spontaneous brain activity, what features of the neuronal microcircuitry underlie spontaneous and stimulus-evoked spectral fingerprints, and what these fingerprints entail for stimulus encoding, remain largely open questions. We used a combination of human invasive electrophysiology, computational modeling and decoding techniques to assess the information encoding properties of brain activity and to relate them to a plausible underlying neuronal microarchitecture. We analyzed intracortical auditory EEG activity from 10 patients while they were listening to short sentences. Pre-stimulus neural activity in early auditory cortical regions often exhibited power spectra with a shoulder in the delta range and a small bump in the beta range. Speech decreased power in the beta range, and increased power in the delta-theta and gamma ranges. Using multivariate machine learning techniques, we assessed the spectral profile of information content for two aspects of speech processing: detection and discrimination. We obtained better phase than power information decoding, and a bimodal spectral profile of information content with better decoding at low (delta-theta) and high (gamma) frequencies than at intermediate (beta) frequencies. These experimental data were reproduced by a simple rate model made of two subnetworks with different timescales, each composed of coupled excitatory and inhibitory units, and connected via a negative feedback loop. Modeling and experimental results were similar in terms of pre-stimulus spectral profile (except for the iEEG beta bump), spectral modulations with speech, and spectral profile of information content. Altogether, we provide converging evidence from both univariate spectral analysis and decoding approaches for a dual timescale processing infrastructure in human auditory cortex, and show that it is consistent with the dynamics of a simple rate model. Author summaryLike most animal vocalizations, speech results from a pseudo-rhythmic process that reflects the convergence of motor and auditory neural substrates and the natural resonance properties of the vocal apparatus towards efficient communication. Here, we leverage the excellent temporal and spatial resolution of intracranial EEG to demonstrate that neural activity in human early auditory cortical areas during speech perception exhibits a dual-scale spectral profile of power changes, with speech increasing power in low (delta-theta) and high (gamma -high-gamma) frequency ranges, while decreasing power in intermediate (alpha-beta) frequencies. Single-trial multivariate decoding also resulted in a bimodal spectral profile of information content, with better decoding at low and high frequencies than at intermediate ones.From both spectral and informational perspectives, these patterns are consistent with the activity of a relatively s...

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Two frequency bands contain the most stimulus-related information in visual cortex

Abstract: Abstract

Cited by 6 publications

References 59 publications

Electrocorticogram (ECoG) Is Highly Informative in Primate Visual Cortex

Electrocorticogram (ECoG) Is Highly Informative in Primate Visual Cortex

Gamma synchronization between V1 and V4 improves behavioral performance

Converging intracortical signatures of two separated processing timescales in human early auditory cortex

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