Cortico–basal ganglia circuit mechanism for a decision threshold in
... in vitro electrophysiological data17,21–24, we built a recurrent network model for the superior colliculus burst cells, and we tested the hypothesis that these burst cells are suitable for reading out threshold crossing in upstream neurons. Furthermore, the superior colliculus is known to be under t ...
... in vitro electrophysiological data17,21–24, we built a recurrent network model for the superior colliculus burst cells, and we tested the hypothesis that these burst cells are suitable for reading out threshold crossing in upstream neurons. Furthermore, the superior colliculus is known to be under t ...
Presidential Address by Bruce Buchanan
... structure is terrifically important in every activity. In particular, is it possible for creative problem solving to be carried on without any structure at all, and what would it mean? In an invited talk at AAAI-1998, the composer David Cope (1998) described his program EXPERIMENTS IN MUSIC, which i ...
... structure is terrifically important in every activity. In particular, is it possible for creative problem solving to be carried on without any structure at all, and what would it mean? In an invited talk at AAAI-1998, the composer David Cope (1998) described his program EXPERIMENTS IN MUSIC, which i ...
Preference Handling – An Introductory Tutorial
... but that is about it. One can find various discussions in the literature as to when and whether total or weak orderings are appropriate (for an entry point, see, e.g., (Hansson, 2001b)), but this debate is mostly inconsequential from our perspective, and we make no commitment to one or the other. De ...
... but that is about it. One can find various discussions in the literature as to when and whether total or weak orderings are appropriate (for an entry point, see, e.g., (Hansson, 2001b)), but this debate is mostly inconsequential from our perspective, and we make no commitment to one or the other. De ...
View/Open - Minerva Access
... been shown to selectively potentiate feed-forward connections with specific axonal delays, enabling functions such as sound localization in the auditory brainstem of the barn owl. We demonstrate a similar selective potentiation for the recurrent connections in a network with axonal delays correspond ...
... been shown to selectively potentiate feed-forward connections with specific axonal delays, enabling functions such as sound localization in the auditory brainstem of the barn owl. We demonstrate a similar selective potentiation for the recurrent connections in a network with axonal delays correspond ...
A Methodology for Medical Diagnosis based on Fuzzy Logic
... medical applications based on another programming method such as purely statistical and probabilistic methods, medical AI programs are based on symbolic models of disease entities and their relationship to patient factors and clinical manifestations [6]. Medical expert systems contain medical knowle ...
... medical applications based on another programming method such as purely statistical and probabilistic methods, medical AI programs are based on symbolic models of disease entities and their relationship to patient factors and clinical manifestations [6]. Medical expert systems contain medical knowle ...
Pachinko Allocation: DAG-Structured Mixture Models of Topic
... cesses (HDP) to model groups of data that have a pre-defined hierarchical structure. Each pre-defined group is associated with a Dirichlet process, whose base measure is sampled from a higher-level Dirichlet process. HDP can capture topic correlations defined by this nested data structure, however, ...
... cesses (HDP) to model groups of data that have a pre-defined hierarchical structure. Each pre-defined group is associated with a Dirichlet process, whose base measure is sampled from a higher-level Dirichlet process. HDP can capture topic correlations defined by this nested data structure, however, ...
Transfer Learning using Computational Intelligence
... knowledge and skills learned in previous tasks to novel tasks. In this definition, transfer learning aims to extract the knowledge from one or more source tasks and then apply the knowledge to a target task. Traditional machine learning techniques only try to learn each task from scratch, while tran ...
... knowledge and skills learned in previous tasks to novel tasks. In this definition, transfer learning aims to extract the knowledge from one or more source tasks and then apply the knowledge to a target task. Traditional machine learning techniques only try to learn each task from scratch, while tran ...
A Model of Surround Suppression Through Cortical Feedback
... reason is that these effects may tell us something about the underlying cortical microcircuitry of primary visual cortex. The most straight-forward models of the primary visual cortex involve feedforward connections to linear Gabor-like filters. This type of model cannot describe these surround supp ...
... reason is that these effects may tell us something about the underlying cortical microcircuitry of primary visual cortex. The most straight-forward models of the primary visual cortex involve feedforward connections to linear Gabor-like filters. This type of model cannot describe these surround supp ...
Basal Ganglia: Mechanisms for Action Selection
... original box-and-arrow models proposed that this pathway acts to counteract the selection of an action: increased inhibition of the GPe by its striatal inputs would lead to enhanced STN output to SNr/GPi, thereby counteracting inhibition they were receiving in the direct pathway (Alexander and Crutc ...
... original box-and-arrow models proposed that this pathway acts to counteract the selection of an action: increased inhibition of the GPe by its striatal inputs would lead to enhanced STN output to SNr/GPi, thereby counteracting inhibition they were receiving in the direct pathway (Alexander and Crutc ...
FS-FOIL: An Inductive Learning Method for Extracting Interpretable
... There is no unique commonly accepted one-sentence definition of data mining, machine learning, or the more general term information mining that has become fashionable in the last few years. In the authors’ humble opinion, “the non-trivial extraction of implicit, previously unknown, and potentially u ...
... There is no unique commonly accepted one-sentence definition of data mining, machine learning, or the more general term information mining that has become fashionable in the last few years. In the authors’ humble opinion, “the non-trivial extraction of implicit, previously unknown, and potentially u ...
Linking Neural Activity to Visual Perception: Separating Sensory and
... distributions of spike counts were compared against each other, the distribution of counts from trials when the coherent motion was in the neuron’s preferred direction (distribution Y in Figure 2A) versus the distribution of counts from trials with coherent motion in the null direction (distribution ...
... distributions of spike counts were compared against each other, the distribution of counts from trials when the coherent motion was in the neuron’s preferred direction (distribution Y in Figure 2A) versus the distribution of counts from trials with coherent motion in the null direction (distribution ...
