Neural spike-timing patterns vary with sound shape and periodicity in three auditory cortical fields

Lee, Christopher M.; Osman, Ahmad F.; Volgushev, Maxim; Escabı́, Monty A.; Read, Heather L.

doi:10.1152/jn.00784.2015

Cited by 29 publications

(25 citation statements)

References 98 publications

(141 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In particular, a large positive peak is observed at approximately 10 ms followed by a large negative peak at 25-50 ms. A second large negative peak is observed around 125 ms after the "deviant" sound, and a third follows at approximately 200 ms. The temporal dynamic of the mode suggests distinct onset and terminating responses following deviant sound onset that matches well with the dynamics observed in core or primary auditory cortices in other studies [20,38,44,55]. The reader should also notice that all signs, amplitudes, and time relative to the signal onset of the deviant match well with those depicted in Fig.…”

Section: Temporal Coordinatessupporting

confidence: 87%

Data-driven Koopman operator approach for computational neuroscience

Marrouch

Sławińska

Giannakis

et al. 2019

Ann Math Artif Intell

Self Cite

View full text Add to dashboard Cite

This article presents a novel, nonlinear, data-driven signal processing method, which can help neuroscience researchers visualize and understand complex dynamical patterns in both time and space. Specifically, we present applications of a Koopman operator approach for eigendecomposition of electrophysiological signals into orthogonal, coherent components and examine their associated spatiotemporal dynamics. This approach thus provides enhanced capabilities over conventional computational neuroscience tools restricted to analyzing signals in either the time or space domains. This is achieved via machine learning and kernel methods for data-driven approximation of skew-product dynamical systems. The approximations successfully converge to theoretical values in the limit of long embedding windows. First, we describe the method, then using electrocorticographic (ECoG) data from a mismatch negativity experiment, we extract time-separable frequencies without bandpass filtering or prior selection of wavelet features. Finally, we discuss in detail two of the extracted components, Beta (∼ 13 Hz) and high Gamma (∼ 50 Hz) frequencies, and explore the spatiotemporal dynamics of high-and low-frequency components.

show abstract

Section: Temporal Coordinatessupporting

confidence: 87%

Data-driven Koopman operator approach for computational neuroscience

Marrouch

Sławińska

Giannakis

et al. 2019

Ann Math Artif Intell

Self Cite

View full text Add to dashboard Cite

show abstract

“…The robust correlation of NREM sleep attenuation with response latency suggests that NREM sleep may exert a gradual attenuation of cortical responses, rather than imposing a discrete 'gate' at a specific brain region. As a first approximation, AC and PRC are associated with different response latency profiles (Lee et al, 2016) and differ also in their degree of response attenuation during sleep. However, a closer examination of neuronal clusters with 'atypical' latencies reveals that their attenuation during NREM sleep is better predicted by their classification to early/late-responders rather than their anatomical location ( Figure 6).…”

Section: Discussionmentioning

confidence: 99%

“…Moreover, it has been shown to contain intrinsic inhibitory mechanisms that affect information flow to the hippocampus (Decurtis and Pare, 2004;Pelletier, 2004). Perirhinal cortex is located further downstream from the suprarhinal auditory field (SRAF) (Profant et al, 2013;Lee et al, 2016). While perirhinal neurons reliably respond to sounds during wakefulness Furtak et al, 2007), separate studies during anesthesia did not reveal significant auditory responses as one moves ventrally towards rhinal fissure (Doron et al, 2002).…”

Section: Do Sounds Effectively Modulate Responses In Downstream Assocmentioning

confidence: 99%

Sleep differentially affects early and late neuronal responses to sounds in auditory and perirhinal cortices

Sela

Krom

Bergman

et al. 2019

Preprint

View full text Add to dashboard Cite

Number of multimedia and 3D models: 0 Number of words for abstract (max 250): 171 Number of words for introduction (max 650): 596 Number of words for discussion (max 1500): 919Reduced behavioral responsiveness to sensory stimulation is at the core of sleep's definition, but it is still unclear how the sleeping brain responds differently to sensory stimuli. In the current study we recorded neuronal spiking responses to sounds along the cortical processing hierarchy of rats during wakefulness and natural sleep. Responses in auditory cortex only showed modest changes during sleep, whereas sleep robustly attenuated the responses of neurons in high-level perirhinal cortex. We also found that during NREM sleep, the response latency predicts the degree of sleep attenuation in individual neurons above and beyond their anatomical location. These results provide anatomical and temporal signatures of sensory disconnection during sleep and pave the way to understanding the underlying mechanisms.

show abstract

“…The rate of rise therefore cannot be the only factor. The onset responses of cortical and subcortical neurons are very sensitive to the rate of rise of the stimulus amplitude, as observed in many studies that have varied onset duration or sound level (Hall and Feng, 1988; Phillips, 1988; Gooler and Feng, 1992; Heil, 1997a,b; Heil and Irvine, 1998; Lee et al, 2016), but onset responses are not a unique function of this rate. Based on the effects of varying onset duration, onset shape, and sound level on the onset responses of cat auditory cortical neurons, Heil and colleagues suggested that the first spikes of the responsive population of neurons track the onset envelope and the initial steady-state portion of the stimulus (for review, see e.g., Heil, 2003).…”

Section: Discussionmentioning

confidence: 94%

Onset-Duration Matching of Acoustic Stimuli Revisited: Conventional Arithmetic vs. Proposed Geometric Measures of Accuracy and Precision

Friedrich

Heil

2017

Front. Psychol.

View full text Add to dashboard Cite

Onsets of acoustic stimuli are salient transients and are relevant in humans for the perception of music and speech. Previous studies of onset-duration discrimination and matching focused on whether onsets are perceived categorically. In this study, we address two issues. First, we revisit onset-duration matching and measure, for 79 conditions, how accurately and precisely human listeners can adjust the onset duration of a comparison stimulus to subjectively match that of a standard stimulus. Second, we explore measures for quantifying performance in this and other matching tasks. The conventional measures of accuracy and precision are defined by arithmetic descriptive statistics and the Euclidean distance function on the real numbers. We propose novel measures based on geometric descriptive statistics and the log-ratio distance function, the Euclidean distance function on the positive-real numbers. Only these properly account for the fact that the magnitude of onset durations, like the magnitudes of most physical quantities, can attain only positive real values. The conventional (arithmetic) measures possess a convexity bias that yields errors that grow with the width of the distribution of matches. This convexity bias leads to misrepresentations of the constant error and could even imply the existence of perceptual illusions where none exist. This is not so for the proposed (geometric) measures. We collected up to 68 matches from a given listener for each condition (about 34,000 matches in total) and examined inter-listener variability and the effects of onset duration, plateau duration, sound level, carrier, and restriction of the range of adjustable comparison stimuli on measures of accuracy and precision. Results obtained with the conventional measures generally agree with those reported in the literature. The variance across listeners is highly heterogeneous for the conventional measures but is homogeneous for the proposed measures. Furthermore, the proposed measures show that listeners tend to under- rather than to overestimate the onset duration of the comparison stimuli. They further reveal effects of the stimulus carrier on accuracy and precision which are missed by the conventional measures. Our results have broad implications for psychophysical studies that use arithmetic measures to quantify performance when geometric measures should instead be used.

show abstract

Neural spike-timing patterns vary with sound shape and periodicity in three auditory cortical fields

Cited by 29 publications

References 98 publications

Data-driven Koopman operator approach for computational neuroscience

Data-driven Koopman operator approach for computational neuroscience

Sleep differentially affects early and late neuronal responses to sounds in auditory and perirhinal cortices

Onset-Duration Matching of Acoustic Stimuli Revisited: Conventional Arithmetic vs. Proposed Geometric Measures of Accuracy and Precision

Contact Info

Product

Resources

About