Hippocampal formation as unitary coherent particle filter
نویسندگان
چکیده
منابع مشابه
The pigeon as particle filter
Although theorists have interpreted classical conditioning as a laboratory model of Bayesian belief updating, a recent reanalysis showed that the key features that theoretical models capture about learning are artifacts of averaging over subjects. Rather than learning smoothly to asymptote (reflecting, according to Bayesian models, the gradual tradeoff from prior to posterior as data accumulate...
متن کاملThe rat as particle filter
The core tenet of Bayesian modeling is that subjects represent beliefs as distributions over possible hypotheses. Such models have fruitfully been applied to the study of learning in the context of animal conditioning experiments (and analogously designed human learning tasks), where they explain phenomena such as retrospective revaluation that seem to demonstrate that subjects entertain multip...
متن کاملA Polyphase Filter Bank Interpretation of Coherent Image Formation
Coherent image formation in step transform algorithm is realized by overlapped subapertures in both range and cross range direction. Subaperture formation principle is treated as multiplication of target backscatter signature with a set of overlapped and shifted complex, conjugate reference functions and subsequent spectral analysis. A polyphase filter bank interpretation of step transform is p...
متن کاملTurKPF: TurKontrol as a Particle Filter
TURKONTROL, an algorithm presented in (Dai et al. 2010), uses a POMDP to model and control an iterative workflow for crowdsourced work. Here, TURKONTROL is re-implemented as “TURKPF,” which uses a Particle Filter to reduce computation time & memory usage. Most importantly, in our experimental environment with default parameter settings, the action is chosen nearly instantaneously. Through a ser...
متن کاملLearning in a Unitary Coherent Hippocampus
A previous paper [2] presented a model (UCPF-HC) of the hippocampus as a unitary coherent particle filter, which combines the classical hippocampal roles of associative memory and spatial navigation, using a Bayesian filter framework. The present paper extends this model to include online learning of connections to and from the CA3 region. Learning in the extended neural network is equivalent t...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: BMC Neuroscience
سال: 2009
ISSN: 1471-2202
DOI: 10.1186/1471-2202-10-s1-p275