Model-Based Decoding, Information Estimation, and Change-Point Detection Techniques for Multineuron Spike Trains
نویسندگان
چکیده
منابع مشابه
Model-Based Decoding, Information Estimation, and Change-Point Detection Techniques for Multineuron Spike Trains
One of the central problems in systems neuroscience is to understand how neural spike trains convey sensory information. Decoding methods, which provide an explicit means for reading out the information contained in neural spike responses, offer a powerful set of tools for studying the neural coding problem. Here we develop several decoding methods based on point-process neural encoding models,...
متن کاملModel-based decoding, information estimation, and change- point detection in multi-neuron spike trains
Understanding how stimulus information is encoded in spike trains is a central problem in computational neuroscience. Decoding methods provide an important tool for addressing this problem, by allowing us to explicitly read out the information contained in spike responses. Here we introduce several decoding methods based on point-process neural encoding models (i.e. “forward” models that predic...
متن کاملModel based decoding of spike trains.
Reliably decoding neuronal responses requires knowing what aspects of neuronal responses are stimulus related, and which aspects act as noise. Recent work shows that spike trains can be viewed as stochastic samples from the rate variation function, as estimated by the time dependent spike density function (or normalized peristimulus time histogram). Such spike trains are exactly described by or...
متن کاملB . J . Richmond , Model based decoding of spike trains . Page 1 07 / 26 / 02 Model based decoding of spike trains
Reliably decoding neuronal responses requires knowing what aspects of neuronal responses are stimulus related, and which aspects act as noise. Recent work shows that spike trains can be viewed as stochastic samples from the rate variation function, as estimated by the time dependent spike density function (or normalized peristimulus time histogram). Such spike trains are exactly described by or...
متن کاملSingle and Multiple Change Point Detection in Spike Trains: Comparison of Different CUSUM Methods
In a natural environment, sensory systems are faced with ever-changing stimuli that can occur, disappear or change their properties at any time. For the animal to react adequately the sensory systems must be able to detect changes in external stimuli based on its neuronal responses. Since the nervous system has no prior knowledge of the stimulus timing, changes in stimulus need to be inferred f...
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ژورنال
عنوان ژورنال: Neural Computation
سال: 2011
ISSN: 0899-7667,1530-888X
DOI: 10.1162/neco_a_00058