Creativity, Cognitive Mechanisms, and Logic
... parts of the input spaces are matched by identifying their structural commonalities, where the matched parts may be seen as constituting a G ENERIC SPACE. The B LEND space has an emergent structure that arises from the blending process and consists of some matched and possibly some of the unmatched ...
... parts of the input spaces are matched by identifying their structural commonalities, where the matched parts may be seen as constituting a G ENERIC SPACE. The B LEND space has an emergent structure that arises from the blending process and consists of some matched and possibly some of the unmatched ...
WWW-newsgroup-document Clustering by Means of
... Figs. 1 and 2 present the performance of the proposed clustering technique for 20 newsgroups”Small” and ”Large” numerical models of 20 newsgroups collection of documents. As the learning progresses, both systems adjust the overall numbers of neurons in their networks (Figs. 1a and 2a) that finally a ...
... Figs. 1 and 2 present the performance of the proposed clustering technique for 20 newsgroups”Small” and ”Large” numerical models of 20 newsgroups collection of documents. As the learning progresses, both systems adjust the overall numbers of neurons in their networks (Figs. 1a and 2a) that finally a ...
Computation with Spikes in a Winner-Take-All Network
... where we assume unit capacitance. The first term on the right describes the excitation from an external spike source (E) as the weight, VE , times a sum of delta functions reflecting the spike train from this source. The second term on the right describes the inhibition from other neurons as the weigh ...
... where we assume unit capacitance. The first term on the right describes the excitation from an external spike source (E) as the weight, VE , times a sum of delta functions reflecting the spike train from this source. The second term on the right describes the inhibition from other neurons as the weigh ...
An Efficient Learning Procedure for Deep Boltzmann Machines
... The architectural limitations of RBMs can be overcome by using them as simple learning modules that are stacked to form a deep, multilayer network. After training each RBM, the activities of its hidden units, when they are being driven by data, are treated as training data for the next RBM (Hinton e ...
... The architectural limitations of RBMs can be overcome by using them as simple learning modules that are stacked to form a deep, multilayer network. After training each RBM, the activities of its hidden units, when they are being driven by data, are treated as training data for the next RBM (Hinton e ...
What insights can fMRI offer into the structure and function of mid-tier visual areas?
... East River Road, Minneapolis, MN 55455. E-mail: [email protected] ...
... East River Road, Minneapolis, MN 55455. E-mail: [email protected] ...
From Natural Language to Soft Computing: New Paradigms
... The most important objective reached during the workshop is that it opened the way for an interdisciplinary collaboration between researchers in different countries (Romania, USA, France, Serbia, Chile, Greece and Hungary), with different professional experience (scientific researchers, doctors and ...
... The most important objective reached during the workshop is that it opened the way for an interdisciplinary collaboration between researchers in different countries (Romania, USA, France, Serbia, Chile, Greece and Hungary), with different professional experience (scientific researchers, doctors and ...
Representation of naturalistic image structure in the primate visual
... Measuring statistics in a physiologically consistent format can lead to much more powerful model of texture. Specifically, a model for texture based on the pairwise correlations between model simple- and complex-cell responses, at nearby positions, orientations, and scales (Fig 1d) can capture many ...
... Measuring statistics in a physiologically consistent format can lead to much more powerful model of texture. Specifically, a model for texture based on the pairwise correlations between model simple- and complex-cell responses, at nearby positions, orientations, and scales (Fig 1d) can capture many ...
On-line Human Activity Recognition from Audio and Home
... S WEET-H OME [77]. All of them have integrated human activity modelling and recognition in their systems. Most of the progress made in the AR domain came from the computer vision domain [1]. However, the installation of video cameras in the user’s home is not only raising ethical questions [72], bu ...
... S WEET-H OME [77]. All of them have integrated human activity modelling and recognition in their systems. Most of the progress made in the AR domain came from the computer vision domain [1]. However, the installation of video cameras in the user’s home is not only raising ethical questions [72], bu ...
Various Approaches to Decision Making
... (McMC) is used. The advantage of following this method is that it provides the needed information enabling an axiom to be evaluated. Specifically, the descriptive adequacy of a given model is assessable only when we adopt the Bayesian p-value as the criterion. In turn, this can assess the descriptive ...
... (McMC) is used. The advantage of following this method is that it provides the needed information enabling an axiom to be evaluated. Specifically, the descriptive adequacy of a given model is assessable only when we adopt the Bayesian p-value as the criterion. In turn, this can assess the descriptive ...
Beyond Control: The Dynamics of Brain-Body
... considerably larger variability. What is the behavioral significance of this motor pattern variability? From a purely neuronal point of view, one might argue that the larger variability in the stance-to-swing transition is obviously the important one, accounting for the observed differences in walki ...
... considerably larger variability. What is the behavioral significance of this motor pattern variability? From a purely neuronal point of view, one might argue that the larger variability in the stance-to-swing transition is obviously the important one, accounting for the observed differences in walki ...
(addl. 3)
... A variety of neural models are used in the projects we describe. Most neural modeling involves the ion channels responsible for spike generation at the axon hillock, or the synapse, where spikes are transformed into post-synaptic potentials. The Hodgkin-Huxley [ 4] biological neural model discussed ...
... A variety of neural models are used in the projects we describe. Most neural modeling involves the ion channels responsible for spike generation at the axon hillock, or the synapse, where spikes are transformed into post-synaptic potentials. The Hodgkin-Huxley [ 4] biological neural model discussed ...
Merging Verb Senses of Hindi WordNet using
... word2vec (ref Section 4) for finding the semantic similarity between words from two glosses. We leverage the text similarity measure proposed by (Mihalcea et al., 2006) for gloss similarity computation. It considers both word-to-word similarity and word specificity. Word specificity indicates whethe ...
... word2vec (ref Section 4) for finding the semantic similarity between words from two glosses. We leverage the text similarity measure proposed by (Mihalcea et al., 2006) for gloss similarity computation. It considers both word-to-word similarity and word specificity. Word specificity indicates whethe ...
Challenges for Brain Emulation
... A variety of neural models are used in the projects we describe. Most neural modeling involves the ion channels responsible for spike generation at the axon hillock, or the synapse, where spikes are transformed into post-synaptic potentials. The Hodgkin-Huxley [ 4] biological neural model discussed ...
... A variety of neural models are used in the projects we describe. Most neural modeling involves the ion channels responsible for spike generation at the axon hillock, or the synapse, where spikes are transformed into post-synaptic potentials. The Hodgkin-Huxley [ 4] biological neural model discussed ...
Simulation of myelinated neuron with focus on conduction speed
... because we didn’t find a whole set of parameters for a soma with the same membrane dynamics working at the same temperature as the axon in [1]. For the dendrites we used passive mechanism implemented in NEURON and set the reversal potential Epas to be -80mV, which was the same as the rest potential ...
... because we didn’t find a whole set of parameters for a soma with the same membrane dynamics working at the same temperature as the axon in [1]. For the dendrites we used passive mechanism implemented in NEURON and set the reversal potential Epas to be -80mV, which was the same as the rest potential ...
A Review of Case-Based Reasoning in Cognition
... Therefore, in non-symbolic AI, neural networks have often been used for learning and control of motor level tasks. On the other side, related research in neuroscience suggests that the motor level representation is not necessarily a single generic large network. We propose accordingly that an artifi ...
... Therefore, in non-symbolic AI, neural networks have often been used for learning and control of motor level tasks. On the other side, related research in neuroscience suggests that the motor level representation is not necessarily a single generic large network. We propose accordingly that an artifi ...
Determination, Uniformity, and Relevance: Normative
... be projected onto the present on the basis of the known similarity between t he situations. The problem of specifying when to generalize or reason by analogy, and when not to, therefore looms large for the designer of a learning system . One would like to be able to program into the system a set of ...
... be projected onto the present on the basis of the known similarity between t he situations. The problem of specifying when to generalize or reason by analogy, and when not to, therefore looms large for the designer of a learning system . One would like to be able to program into the system a set of ...
Undulatory locomotion of polychaete annelids - FORTH-ICS
... basic undulatory mechanism, without parapodial links, which we termed the polychaete body CPG. The goal of the CPG is to produce the tail-to-head wave of muscle activation, which is characteristic of polychaete locomotion (compare this to the head-to-tail wave of the lamprey). Each neuron of the CP ...
... basic undulatory mechanism, without parapodial links, which we termed the polychaete body CPG. The goal of the CPG is to produce the tail-to-head wave of muscle activation, which is characteristic of polychaete locomotion (compare this to the head-to-tail wave of the lamprey). Each neuron of the CP ...
Foundations for a Circuit Complexity Theory of Sensory
... or a winner-take-all circuit5 – are computed by neural microcircuits or in analog VLSI by efficient subcircuits that employ a number of transistors, total wire length and area that are all linear in , with a setting time that is independent of 6 . In the relatively abstract context of model (A) we m ...
... or a winner-take-all circuit5 – are computed by neural microcircuits or in analog VLSI by efficient subcircuits that employ a number of transistors, total wire length and area that are all linear in , with a setting time that is independent of 6 . In the relatively abstract context of model (A) we m ...
A Fast and Accurate Online Sequential Learning Algorithm for
... learning uses the past data together with the new data and performs a retraining, thus consuming a lot of time. There are many industrial applications where online sequential learning algorithms are preferred over batch learning algorithms as sequential learning algorithms do not require retraining ...
... learning uses the past data together with the new data and performs a retraining, thus consuming a lot of time. There are many industrial applications where online sequential learning algorithms are preferred over batch learning algorithms as sequential learning algorithms do not require retraining ...
The Learning Intelligent Distribution Agent (LIDA)
... below presents an argument in favor of LIDA’s suitability for modeling human-like diagnostic reasoning. A discussion of the design and plans for implementation of Medical Agent X (MAX), a LIDA-based medical diagnosis agent, follows. In particular, MAX’s modalities for “sensing” meaning in medical r ...
... below presents an argument in favor of LIDA’s suitability for modeling human-like diagnostic reasoning. A discussion of the design and plans for implementation of Medical Agent X (MAX), a LIDA-based medical diagnosis agent, follows. In particular, MAX’s modalities for “sensing” meaning in medical r ...
