Estimating a Separably Markov Random Field from Binary Observations
نویسندگان
چکیده
منابع مشابه
Estimating a Separably Markov Random Field from Binary Observations.
A fundamental problem in neuroscience is to characterize the dynamics of spiking from the neurons in a circuit that is involved in learning about a stimulus or a contingency. A key limitation of current methods to analyze neural spiking data is the need to collapse neural activity over time or trials, which may cause the loss of information pertinent to understanding the function of a neuron or...
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A fundamental problem in neuroscience is to characterize the dynamics of spiking from the neurons in a circuit that is involved in learning about a stimulus or a contingency. A key limitation of current methods to analyze neural spiking data is the need to collapse ar X iv :1 70 9. 09 72 3v 1 [ st at .M E ] 2 7 Se p 20 17 neural activity over time or trials, which may cause the loss of informat...
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ژورنال
عنوان ژورنال: Neural Computation
سال: 2018
ISSN: 0899-7667,1530-888X
DOI: 10.1162/neco_a_01059