Decoding neural spike trains: calculating the probability that a spike train and an external signal are related

Journal of Neurophysiology
Terence D Sanger

Abstract

Experimental and clinical applications of extracellular recordings of spiking cell activity frequently are used to relate the activity of a cell to externally measurable signals such as surface potentials, sensory stimuli, or movement measurements. When the external signal is time-varying, correlation methods have traditionally been used to quantify the degree of relation with the neural firing. However, in some circumstances correlation methods can give misleading results. A new algorithm is described that estimates the extent to which a spike train is related to a continuous time-varying signal. The technique calculates the probability of generating a spike train with Poisson statistics if the time-varying signal determines the Poisson rate. This is accomplished by successive division of the signal and the spike train into halves and recursive calculation of the probability of each half-signal. The performance of the new algorithm is compared with the performance of correlation methods on simulated data.

References

Jun 28, 1991·Science·W BialekD Warland
Jan 1, 1989·Progress in Biophysics and Molecular Biology·J R RosenbergD M Halliday
May 1, 1987·The International Journal of Neuroscience·X S Shao, P X Chen
Jul 1, 1967·Biophysical Journal·D H PerkelG P Moore
Aug 1, 1974·Physiology & Behavior·J T MurphyY C Wong
Jan 1, 1966·Annual Review of Physiology·G P MooreJ P Segundo
Mar 1, 1984·Journal of Neuroscience Methods·C J Sherry, W R Klemm
Jan 1, 1996·Somatosensory & Motor Research·G E CarvellD J Simons

Citations

Apr 21, 2007·Neural Computation·Hideaki Shimazaki, Shigeru Shinomoto
Sep 3, 2010·Journal of Neurophysiology·Jungah LeeChoongkil Lee
Mar 4, 2003·Journal of Neurophysiology·Zaccaria Del PretePeter Grigg

Related Concepts

Nerve Impulses
Metazoa
Neurons
Periodicity
Probability
Two-Parameter Models

Trending Feeds

COVID-19

Coronaviruses encompass a large family of viruses that cause the common cold as well as more serious diseases, such as the ongoing outbreak of coronavirus disease 2019 (COVID-19; formally known as 2019-nCoV). Coronaviruses can spread from animals to humans; symptoms include fever, cough, shortness of breath, and breathing difficulties; in more severe cases, infection can lead to death. This feed covers recent research on COVID-19.

Alzheimer's Disease: MS4A

Variants within the membrane-spanning 4-domains subfamily A (MS4A) gene cluster have recently been implicated in Alzheimer's disease in genome-wide association studies. Here is the latest research on Alzheimer's disease and MS4A.

Pediculosis pubis

Pediculosis pubis is a disease caused by a parasitic insect known as Pthirus pubis, which infests human pubic hair, as well as other areas with hair including eye lashes. Here is the latest research.

Rh Isoimmunization

Rh isoimmunization is a potentially preventable condition that occasionally is associated with significant perinatal morbidity or mortality. Discover the latest research on Rh Isoimmunization here.

Genetic Screens in iPSC-derived Brain Cells

Genetic screening is a critical tool that can be employed to define and understand gene function and interaction. This feed focuses on genetic screens conducted using induced pluripotent stem cell (iPSC)-derived brain cells. It also follows CRISPR-Cas9 approaches to generating genetic mutants as a means of understanding the effect of genetics on phenotype.

Enzyme Evolution

This feed focuses on molecular models of enzyme evolution and new approaches (such as adaptive laboratory evolution) to metabolic engineering of microorganisms. Here is the latest research.

Chronic Fatigue Syndrome

Chronic fatigue syndrome is a disease characterized by unexplained disabling fatigue; the pathology of which is incompletely understood. Discover the latest research on chronic fatigue syndrome here.

Pharmacology of Proteinopathies

This feed focuses on the pharmacology of proteinopathies - diseases in which proteins abnormally aggregate (i.e. Alzheimer’s, Parkinson’s, etc.). Discover the latest research in this field with this feed.

Alignment-free Sequence Analysis Tools

Alignment-free sequence analyses have been applied to problems ranging from whole-genome phylogeny to the classification of protein families, identification of horizontally transferred genes, and detection of recombined sequences. Here is the latest research.

Related Papers

Journal of Neuroscience Methods
Ana Calabrese, Liam M Paninski
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society
Wei Wu, Nicholas G Hatsopoulos
© 2021 Meta ULC. All rights reserved