Journal ArticleDOI
Modelling and analysis of local field potentials for studying the function of cortical circuits
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TLDR
Careful mathematical modelling and analysis are needed to take full advantage of the opportunities that this signal offers in understanding signal processing in cortical circuits and, ultimately, the neural basis of perception and cognition.Abstract:
Local field potentials (LFPs) provide a wealth of information about synaptic processing in cortical populations but are difficult to interpret. Einevoll and colleagues consider the neural origin of cortical LFPs and discuss LFP modelling and analysis methods that can improve the interpretation of LFP data.read more
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Posted ContentDOI
Computational model of neuronal recruitment during ICMS for restoring somatosensation in the human somatosensory cortex
Pawel Kudela,Matthew S. Fifer,Luke Osborn,David P. McMullen,Pablo Celnik,Gabriela Cantarero,Francesco Tenore,William S. Anderson +7 more
TL;DR: In this paper , an anatomically-informed and participant-specific model of the human somatosensory cortex (S1) region with an implanted microelectrode array (MEA) was created to characterize cortical responses elicited by single ICMS pulses.
Journal ArticleDOI
Prefrontal cortex neurons in adult rats exposed to early life stress fail to appropriately signal the consequences of motivated actions
TL;DR: This article found that ELS experience produces persistent impairment in motivational regulation that is associated with significant changes in in vivo PFC signals, leading to increased susceptibility to mental health disorders in adults such as substance abuse and post-traumatic stress disorder.
Posted ContentDOI
Efficient phase coding in hippocampal place cells
TL;DR: This study develops a conductance-based model for phase precession in CA1 pyramidal neurons within the temporal sequence compression framework, and defined phase-coding efficiency using information theory, and postulates degeneracy as a potential framework to attain the twin goals of efficient temporal coding and robust homeostasis.
Journal ArticleDOI
Laminar specificity of the auditory perceptual awareness negativity: A biophysical modeling study
TL;DR: In this paper , the auditory awareness negativity (AAN), an evoked response associated with perception of target sounds in noise, can be explained by synaptic input to the supragranular layers of auditory cortex (AC) that is present when target sounds are heard but absent when they are missed.
References
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A mathematical theory of communication
TL;DR: This final installment of the paper considers the case where the signals or the messages or both are continuously variable, in contrast with the discrete nature assumed until now.
MonographDOI
Causality: models, reasoning, and inference
TL;DR: The art and science of cause and effect have been studied in the social sciences for a long time as mentioned in this paper, see, e.g., the theory of inferred causation, causal diagrams and the identification of causal effects.
Book ChapterDOI
Investigating causal relations by econometric models and cross-spectral methods
TL;DR: In this article, it is shown that the cross spectrum between two variables can be decomposed into two parts, each relating to a single causal arm of a feedback situation, and measures of causal lag and causal strength can then be constructed.
Journal ArticleDOI
Learning the parts of objects by non-negative matrix factorization
TL;DR: An algorithm for non-negative matrix factorization is demonstrated that is able to learn parts of faces and semantic features of text and is in contrast to other methods that learn holistic, not parts-based, representations.
Learning parts of objects by non-negative matrix factorization
TL;DR: In this article, non-negative matrix factorization is used to learn parts of faces and semantic features of text, which is in contrast to principal components analysis and vector quantization that learn holistic, not parts-based, representations.
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