Hebbian Learning of Bayes Optimal Decisions
... n m) such that the decision function (11) can be written as a weighted sum, and the weights correspond to conditional log-odds of yi ’s. Figure 1 B illustrates such a sparse code: One binary variable is created for every possible value assignment to a variable and all its parents, and one addition ...
... n m) such that the decision function (11) can be written as a weighted sum, and the weights correspond to conditional log-odds of yi ’s. Figure 1 B illustrates such a sparse code: One binary variable is created for every possible value assignment to a variable and all its parents, and one addition ...
Activity of Bipolar Potential Generation in Paramecium
... Modelling of activities are given with three electrical zones and two depletion layers (liquid junctions) in a cell. Mechano-sensitive and voltage-dependent ion channels are distributed at forward, central, and backward parts of the body. Equivalent circuits are given for positive and negative poten ...
... Modelling of activities are given with three electrical zones and two depletion layers (liquid junctions) in a cell. Mechano-sensitive and voltage-dependent ion channels are distributed at forward, central, and backward parts of the body. Equivalent circuits are given for positive and negative poten ...
A Feedback Model of Visual Attention
... account of the neurophysiological data associated with attention (Frith, 2001; Kastner and Ungerleider, 2000). This theory proposes that visual stimuli compete to be represented by cortical activity. Competition may occur at each stage along the visual information processing pathway. The outcome of ...
... account of the neurophysiological data associated with attention (Frith, 2001; Kastner and Ungerleider, 2000). This theory proposes that visual stimuli compete to be represented by cortical activity. Competition may occur at each stage along the visual information processing pathway. The outcome of ...
PDF file
... food). If a baby learns that putting its hand into the fire hurts, it does not want to do that again. In the human brain, coping with stress may be learned from the release of serotonin in the brain and pleasure may be learned through the rise of the level of dopamine (Robbins & Everitt, 1996; Solom ...
... food). If a baby learns that putting its hand into the fire hurts, it does not want to do that again. In the human brain, coping with stress may be learned from the release of serotonin in the brain and pleasure may be learned through the rise of the level of dopamine (Robbins & Everitt, 1996; Solom ...
Improving Control-Knowledge Acquisition for Planning by Active
... (instances) of the chosen predicate p, except for the argument that corresponds to the chosen instance i. Those random arguments are selected according to their corresponding types. For instance, suppose that it has chosen atobject . atobject definition as predicate is (atobject ?o - object ?p - pla ...
... (instances) of the chosen predicate p, except for the argument that corresponds to the chosen instance i. Those random arguments are selected according to their corresponding types. For instance, suppose that it has chosen atobject . atobject definition as predicate is (atobject ?o - object ?p - pla ...
Encoding of Action History in the Rat Ventral Striatum
... reward prediction errors. In addition, the process of reinforcement learning would be greatly facilitated if memory signals related to the animal’s recent actions are also available in the same anatomical structure involved in updating the value functions because a reward or penalty resulting from a ...
... reward prediction errors. In addition, the process of reinforcement learning would be greatly facilitated if memory signals related to the animal’s recent actions are also available in the same anatomical structure involved in updating the value functions because a reward or penalty resulting from a ...
29.2 Neurons - Cloudfront.net
... make it effective in carrying out the functions of the nervous system? Neurons have long extensions called axons, which allow messages to be carried long distances without having to pass the signal to another cell. ...
... make it effective in carrying out the functions of the nervous system? Neurons have long extensions called axons, which allow messages to be carried long distances without having to pass the signal to another cell. ...
Deep learning with COTS HPC systems
... the MVAPICH2 (Wang et al., 2011) MPI implementation. MPI provides a standard message passing interface that allows multiple processes in a cluster to exchange blocks of data. MVAPICH2 handles all of the low-level communications over Infiniband in response to MPI API calls and includes integrated sup ...
... the MVAPICH2 (Wang et al., 2011) MPI implementation. MPI provides a standard message passing interface that allows multiple processes in a cluster to exchange blocks of data. MVAPICH2 handles all of the low-level communications over Infiniband in response to MPI API calls and includes integrated sup ...
Preference Modeling and Preference Elicitation: an - CEUR
... do you prefer?”), Viappiani and Boutilier [21] showed that EVOI optimization is tightly connected to problem of finding an optimal recommendation set and near-optimal queries can be computed efficiently with worst-case guarantees. See also [7] for Bayesian elicitation of GAI models using mixture of ...
... do you prefer?”), Viappiani and Boutilier [21] showed that EVOI optimization is tightly connected to problem of finding an optimal recommendation set and near-optimal queries can be computed efficiently with worst-case guarantees. See also [7] for Bayesian elicitation of GAI models using mixture of ...
Development of the Nervous System of Carinina ochracea
... brain, encircling the proboscis insertion instead of the mouth opening [10,11]. Currenly available immunohistochemical observations on nervous system development in Nemertea draw a heterogeneous and still fragmentary picture [12,13]. Detailed information on the formation and architecture of the larv ...
... brain, encircling the proboscis insertion instead of the mouth opening [10,11]. Currenly available immunohistochemical observations on nervous system development in Nemertea draw a heterogeneous and still fragmentary picture [12,13]. Detailed information on the formation and architecture of the larv ...
Towards the integration of neural mechanisms and cognition in
... and it implements how the neural activity is translated in actuation. The Neural lattice layer is the brain model and it is fairly composed by at least two sublayers: the neural circuits and the cognition. The neural circuits layer contains the biologically inspired models of the brain functional ar ...
... and it implements how the neural activity is translated in actuation. The Neural lattice layer is the brain model and it is fairly composed by at least two sublayers: the neural circuits and the cognition. The neural circuits layer contains the biologically inspired models of the brain functional ar ...
Mechanisms of excitability in the central and peripheral nervous
... function and in pathological conditions. For hippocampus the normal function includes changes in excitability linked to learning and memory. However, it also is intimately linked to pathological increases in excitability observed in epilepsy. In C–fibers, excitability controls sensitivity to respons ...
... function and in pathological conditions. For hippocampus the normal function includes changes in excitability linked to learning and memory. However, it also is intimately linked to pathological increases in excitability observed in epilepsy. In C–fibers, excitability controls sensitivity to respons ...
Intelligent Computer-Aided Engineering
... programs that capture and use a significant fraction of the knowledge of engineers, both formal and tacit . By making programs that understand things the way engineers do, we can make programs that can communicate more easily with human engineers as junior partners . More importantly, if we can capt ...
... programs that capture and use a significant fraction of the knowledge of engineers, both formal and tacit . By making programs that understand things the way engineers do, we can make programs that can communicate more easily with human engineers as junior partners . More importantly, if we can capt ...
Spike Train SIMilarity Space (SSIMS): A Framework for Single
... to as Densemble , which constitutes a relational embedding of the entire data set. Note that in this formulation, the information obtained from a given neuron is represented in a separate subset of dimensions of the matrix Densemble (instead of summing cost metrics across neurons to obtain a single ...
... to as Densemble , which constitutes a relational embedding of the entire data set. Note that in this formulation, the information obtained from a given neuron is represented in a separate subset of dimensions of the matrix Densemble (instead of summing cost metrics across neurons to obtain a single ...
Sociology: Computational Organization Theory Keywords
... Rarely today are organizational models as simple as the garbage can model (Cohen, March and Olsen, 1972) which can be run in a few minutes on a small machine. Rather many, of the models require hours or even days to run a single test and many must be run on high performance workstations. Note, on mo ...
... Rarely today are organizational models as simple as the garbage can model (Cohen, March and Olsen, 1972) which can be run in a few minutes on a small machine. Rather many, of the models require hours or even days to run a single test and many must be run on high performance workstations. Note, on mo ...
A Clustering Algorithm for Recombinant Jazz
... for just a few seconds. In fact, there are those who claim to be able to identify saxophonist Stan “the Sound” Getz after hearing a single note. An excellent imitation of an artist should be similarly recognizable. Another set of questions arises, then: What is a good imitation of an artist? How goo ...
... for just a few seconds. In fact, there are those who claim to be able to identify saxophonist Stan “the Sound” Getz after hearing a single note. An excellent imitation of an artist should be similarly recognizable. Another set of questions arises, then: What is a good imitation of an artist? How goo ...