Actor–critic models of the basal ganglia: new anatomical and computational perspectives
نویسندگان
چکیده
منابع مشابه
Actor-critic models of the basal ganglia: new anatomical and computational perspectives
A large number of computational models of information processing in the basal ganglia have been developed in recent years. Prominent in these are actor-critic models of basal ganglia functioning, which build on the strong resemblance between dopamine neuron activity and the temporal difference prediction error signal in the critic, and between dopamine-dependent long-term synaptic plasticity in...
متن کاملComputational models of the basal ganglia.
Computer simulation studies and mathematical analysis of models of the basal ganglia are being used increasingly to explore theories of basal ganglia function. We review the implications of these new models for a general understanding of basal ganglia function in normal as well as in diseased brains. The focus is on their functional similarities rather than on the details of mathematical method...
متن کاملComputational models of the basal ganglia: from robots to membranes.
With the rapid accumulation of neuroscientific data comes a pressing need to develop models that can explain the computational processes performed by the basal ganglia. Relevant biological information spans a range of structural levels, from the activity of neuronal membranes to the role of the basal ganglia in overt behavioural control. This viewpoint presents a framework for understanding the...
متن کاملBasal Ganglia: Models 798.1 a Computational Model of the Role of Basal Ganglia in a Reciprocal Aiming
A COMPUTATIONAL MODEL OF THE ROLE OF BASAL GANGLIA IN A RECIPROCAL AIMING TASK. A. Bischoff*. M.A. Arbib, and C.I. Winstein. University of Southern California, Los Angeles, CA 90089-2520. A rapid rccqxocal auuing task was used to test performance of arm movement in control subjects m d in Parlunson's disease patients (Winstein and I'ohl, 1995; Winstein et al., 1995). Targets were 37 a n apart w...
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: Neural Networks
سال: 2002
ISSN: 0893-6080
DOI: 10.1016/s0893-6080(02)00047-3