Rules warp feature encoding in decision-making circuits
نویسندگان
چکیده
منابع مشابه
Neuronal Decision-Making Circuits
Studying the neural basis of decision-making has largely taken one of two paths: one has involved cell-by-cell characterization of neuronal circuits in invertebrates; and the other, single-unit studies of monkeys performing cognitive tasks. Here I shall attempt to bring these two disparate approaches together.
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Decision making has recently emerged as a central theme in neurophysiological studies of cognition, and experimental and computational work has led to the proposal of a cortical circuit mechanism of elemental decision computations. This mechanism depends on slow recurrent synaptic excitation balanced by fast feedback inhibition, which not only instantiates attractor states for forming categoric...
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A methodolggy for ttre validation and verification (V&V) of decision making rules is proposed. The methodology addresses the general problem of deiecting problematic ases in a set of rules. The rules are expressed as statements in formal logic. The definition of decision rules in formal logic makes the problem general in tems of application domains, and also provides an analytical-base foi defi...
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We study the impact of internal decision-making structures on the stability of collusive agreements. To this end, we use a three-firm spatial competition model where two firms belong to the same holding company. The holding company can decide to set prices itself or to delegate this decision to its local units. If collusion breaks down, the holding company may relocate its two local units. It t...
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We present the warp tracker, a new system for tracking features through a sequence of images. Employing an automated multi-resolution lattice deformation technique, the warp tracker performs fairly well on its own, and its hierarchical nature naturally lends itself to being integrated with other tracking algorithms for increased accuracy and robustness. Developed specifically for use in next-ge...
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ژورنال
عنوان ژورنال: PLOS Biology
سال: 2020
ISSN: 1545-7885
DOI: 10.1371/journal.pbio.3000951