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High Gamma Power Is Phase-Locked to Theta Oscillations in Human Neocortex
The results indicate that transient coupling between low- and high-frequency brain rhythms coordinates activity in distributed cortical areas, providing a mechanism for effective communication during cognitive processing in humans.
Language Comprehension in Language-Learning Impaired Children Improved with Acoustically Modified Speech
A speech processing algorithm was developed to create more salient versions of the rapidly changing elements in the acoustic waveform of speech that have been shown to be deficiently processed by…
Speech comprehension is correlated with temporal response patterns recorded from auditory cortex
- E. Ahissar, S. Nagarajan, M. Ahissar, Athanassios Protopapas, H. Mahncke, M. Merzenich
- Biology, PsychologyProceedings of the National Academy of Sciences…
- 6 November 2001
The results suggest that the match between the speech rate and the a priori modulation capacities of the auditory cortex is a prerequisite for comprehension, however, this is not sufficient: stimulus-cortex PL should be achieved during actual sentence presentation.
Measuring functional connectivity using MEG: Methodology and comparison with fcMRI
Modulation of the Auditory Cortex during Speech: An MEG Study
- J. Houde, S. Nagarajan, K. Sekihara, M. Merzenich
- Physics, PsychologyJournal of Cognitive Neuroscience
- 1 November 2002
Data suggest that during speech production, the auditory cortex attenuates its sensitivity and modulates its activity as a function of the expected acoustic feedback.
Sensory Processing in Autism: A Review of Neurophysiologic Findings
The neural underpinnings of sensory processing in autism are reviewed by reviewing the literature on neurophysiological responses to auditory, tactile, and visual stimuli in autistic individuals and the impact of covert and overt attention on sensory processing is explored.
A New View of Automatic Relevance Determination
This paper furnishes an alternative means of expressing the ARD cost function using auxiliary functions that naturally addresses both of these issues and suggest alternative cost functions and update procedures for selecting features and promoting sparse solutions in a variety of general situations.
Reconstructing spatio-temporal activities of neural sources using an MEG vector beamformer technique
- K. Sekihara, S. Nagarajan, D. Poeppel, A. Marantz, Y. Miyashita
- PhysicsIEEE Transactions on Biomedical Engineering
- 1 July 2001
The authors have developed a method suitable for reconstructing spatio-temporal activities of neural sources by using magnetoencephalogram (MEG) data that extends the adaptive beamformer technique to incorporate the vector beamformer formulation in which a set of three weight vectors are used to detect the source activity in three orthogonal directions.
Localization bias and spatial resolution of adaptive and non-adaptive spatial filters for MEG source reconstruction
Latent Variable Bayesian Models for Promoting Sparsity
In coefficient space, the analysis reveals that Type II is exactly equivalent to performing standard MAP estimation using a particular class of dictionary- and noise-dependent, nonfactorial coefficient priors.