By Patricia M. DiLorenzo, Jonathan D. Victor
Features
Brings jointly information regarding spike timing from a variety of fields and perspectives
provides theoretical and computational reviews, in addition to experimental reviews in various key version systems
Describes equipment for measuring and interpreting spike timing
offers a history for investigators to think about spike timing because it applies to their very own work
deals a view of the longer term course of labor with regards to mechanisms of spike timing, and its position in neural function
offers a systematic foundation for inclusion of impulse timing within the improvement of novel computational technologies
Summary
Neuronal communique varieties the root for all habit, from the smallest circulate to our grandest inspiration tactics. one of the mechanisms that help those services, spike timing is one of the strongest and—until recently—perhaps the least studied. within the final 20 years, even though, the research of spike timing has exploded. The heightened curiosity is because of numerous elements. those contain the advance of physiological instruments for measuring the task of neural ensembles and analytical instruments for assessing and characterizing spike timing. those advances are coupled with a turning out to be appreciation of spike timing’s theoretical value for the layout ideas of the brain.
Spike Timing: Mechanisms and serve as examines the functionality of spike timing in sensory, motor, and integrative methods, supplying readers with a vast point of view on how spike timing is produced and utilized by the apprehensive process. It brings jointly the paintings and concepts of leaders within the box to deal with present pondering in addition to destiny possibilities.
The first component to the e-book describes the basis for quantitative research and thought. It examines the knowledge contained in spike timing, the way it might be quantified, and the way neural platforms can extract it. the second one part explores how input-output relationships are mirrored in spike timing throughout a variety of sensory systems.
Drawing jointly a number of views, together with theoretical and computational reviews in addition to experimental experiences in a variety of version structures, the publication offers an organization historical past for investigators to contemplate spike timing because it applies to their very own paintings. It additionally bargains a glimpse of destiny advances regarding mechanisms of spike timing and its position in neural functionality, corresponding to the improvement of novel computational technologies.
Table of Contents
Spike Timing: instruments and Models
Spike Trains as occasion Sequences: basic Implications; Jonathan D. Victor and Sheila Nirenberg
Neural Coding and deciphering with Spike instances; Ran Rubin, Robert Gütig, and Haim Sompolinsky
Can we think each Spike? Richard Naud and Wolfram Gerstner
Statistical id of Synchronous Spiking; Matthew T. Harrison, Asohan Amarasingham, and Robert E. Kass
Binless Estimation of Mutual details in Metric areas; Ayelet-Hashahar Shapira, and Israel Nelken
Measuring details in Spike Trains approximately Intrinsic mind signs; Gautam Agarwal and Friedrich T. Sommer
Role of Oscillation-Enhanced Neural Precision in info Transmission among mind components; Paul H. Tiesinga, Saša Koželj, and Francesco P. Battaglia
Spike Timing: Coding, deciphering, and Sensation
Timing details in Insect Mechanosensory platforms; Alexander G. Dimitrov and Zane N. Aldworth
Neural Encoding of Dynamic Inputs through Spike Timing; Matthew H. Higgs and William J. Spain
Relating Spike instances to conception: Auditory Detection and Discrimination; Laurel H. Carney
Spike Timing and Neural Codes for Odors; Sam Reiter and Mark Stopfer
Spike Timing as a Mechanism for flavor Coding within the Brainstem; Patricia M. Di Lorenzo
Increases in Spike Timing Precision Improves Gustatory Discrimination upon studying; Ranier Gutierrez and Sidney A. Simon
Spike Timing in Early levels of visible Processing; Paul R. Martin and Samuel G. Solomon
Cortical Computations utilizing Relative Spike Timing; Timothy J. Gawne
Index
Read Online or Download Spike timing : mechanisms and function PDF
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Additional resources for Spike timing : mechanisms and function
Sample text
But in fact, this is not the case: the asymmetry depends on the number of events in the observation interval, not the firing rate per se. That is, no matter how high the firing rate λ, one can choose a sufficiently short observation interval T < 1/λ for which the expected number of events is small. Spike Trains as Event Sequences 13 Thus, no matter how high the firing rate, there is always a regime—the regime of short observation times—in which decrements have an advantage over increments. This is also the regime in which the simplifying assumption of Poisson behavior is effectively irrelevant.
Thus, for either population, a simulated neuron fires when a random draw from the [0,1]-interval has a value of s or less. Consequently, for either population, each trial is characterized by a list of N + 1 random numbers drawn from the [0,1]-interval: N random numbers that describe the neurons on that trial, along with the random number, s, that describes the stimulus. If k neurons fire, there are k numbers that are less than s (the neurons that fire), and N − k numbers that are larger (the neurons that do not fire).
3) because here the observations form a continuum (the intervals t) rather than a discrete set of spike counts: ∞ D( P || Q) = ∫ p(t ) log 0 2 p( t ) dt. 8 yields D( P|| Q) = ∞ l′ k ( k l ′ )k t k −1e − k l ′t log2 e − kt ( l ′− l ) dt. (k − 1)! 10) where c = (λ′/λ) − 1 is the fractional change in firing rate. 4, which quantifies discriminability in an observation period of length T. This is because in the present analysis—which involves non-Poisson processes—it is the lengths of the interspike intervals that are independent, not the spike times themselves.