AutoLeadGuitar: Automatic Generation of Guitar Solo Phrases in the
... Performance was measured by calculating the precision, recall, and f-measure of detection of phrase boundaries, with an exact match required for a 'hit'. The results of our experiments can be seen in Table II. Inspecting the left portion of Table II, we see that the total precision of our model in d ...
... Performance was measured by calculating the precision, recall, and f-measure of detection of phrase boundaries, with an exact match required for a 'hit'. The results of our experiments can be seen in Table II. Inspecting the left portion of Table II, we see that the total precision of our model in d ...
my listing - UBC Computer Science
... He was the coauthor of an AI textbook, Computational Intelligence: A Logical Approach, published by Oxford University Press, 1998. He is a co-developer of “CIspace: tools for learning computational intelligence”, a set of interactive tools designed to learn the fundamental of AI. He wrote cilog, a l ...
... He was the coauthor of an AI textbook, Computational Intelligence: A Logical Approach, published by Oxford University Press, 1998. He is a co-developer of “CIspace: tools for learning computational intelligence”, a set of interactive tools designed to learn the fundamental of AI. He wrote cilog, a l ...
Independence in Relational Languages with Finite Domains
... logic; rather, our intention is to indicate the main algorithmic tools one can actually use to handle progressively general probabilistic logic. Thus we start with propositional logic without independence, and move to languages based on graphical models. These tools will be used later when we deal w ...
... logic; rather, our intention is to indicate the main algorithmic tools one can actually use to handle progressively general probabilistic logic. Thus we start with propositional logic without independence, and move to languages based on graphical models. These tools will be used later when we deal w ...
Brain rhythms in mental time travel
... search through one's past experience which yields a set of overt behavioral responses in the form of vocal report of the studied items. While much of memory search is behaviorally covert, reliable neural signals are produced which reflect the dynamics of the search and can reveal the influence of the ...
... search through one's past experience which yields a set of overt behavioral responses in the form of vocal report of the studied items. While much of memory search is behaviorally covert, reliable neural signals are produced which reflect the dynamics of the search and can reveal the influence of the ...
Temporal Sequence Detection with Spiking Neurons: Towards
... The concept of exploiting the timing of spikes as an alternative of or complimentary to the mean firing rate has provided new directions for further progress in neural computing models. Different models of spiking neurons have been developed (Hodgkin and Huxley, 1952; Rall, 1989; Segev et al., 1989; ...
... The concept of exploiting the timing of spikes as an alternative of or complimentary to the mean firing rate has provided new directions for further progress in neural computing models. Different models of spiking neurons have been developed (Hodgkin and Huxley, 1952; Rall, 1989; Segev et al., 1989; ...
Stochastic fluctuations of the synaptic function
... synapses produced quantal Excitatory PostSynaptic Currents (EPSCs) with peak amplitudes having a 5-65 pA range. The histogram of the peak amplitudes showed a long right tail. If the variability of the postsynaptic response observed in hippocampal neurons should be extended to all the neurons of brai ...
... synapses produced quantal Excitatory PostSynaptic Currents (EPSCs) with peak amplitudes having a 5-65 pA range. The histogram of the peak amplitudes showed a long right tail. If the variability of the postsynaptic response observed in hippocampal neurons should be extended to all the neurons of brai ...
Stable propagation of synchronous spiking in cortical neural networks
... anywhere inside this regime rapidly (that is, after only few stages) reaches a stable con®guration (,95 spikes) with submillisecond dispersion. Volleys starting outside the stable regime decay after only few stages; too weak or too dispersed activity rapidly dies out. Note that neither the relations ...
... anywhere inside this regime rapidly (that is, after only few stages) reaches a stable con®guration (,95 spikes) with submillisecond dispersion. Volleys starting outside the stable regime decay after only few stages; too weak or too dispersed activity rapidly dies out. Note that neither the relations ...
Preparation for the Dissertation report
... approach. This approach substantially differs from earlier ones, that were significantly influenced by developments in digital computers and symbolic logic, in the way that it aimed to mimic the behavior of the brain at a lower level [4]. The perceptron is basically a linear combiner and a threshold ...
... approach. This approach substantially differs from earlier ones, that were significantly influenced by developments in digital computers and symbolic logic, in the way that it aimed to mimic the behavior of the brain at a lower level [4]. The perceptron is basically a linear combiner and a threshold ...
Kowalski
... “a particular order in which to do things”, but also “back up” automatically in the case of failure. Even in 2005, Paul Thagard in Mind: Introduction to Cognitive Science, compares logic unfavourably with production systems: “In logic-based systems, the fundamental operation of thinking is logical d ...
... “a particular order in which to do things”, but also “back up” automatically in the case of failure. Even in 2005, Paul Thagard in Mind: Introduction to Cognitive Science, compares logic unfavourably with production systems: “In logic-based systems, the fundamental operation of thinking is logical d ...
Decoding Motor Commands in Cortico-Basal Ganglia Circuits for the
... The BehaviourGUI toolbox allows data to be synchronised so several data sets (such as a video recording and computed velocity) easily can be analysed simultaneously. This is of great help when trying to find when the rat is moving. . . . . . . . . . . . . . . . . . . . . . . . . A perievent time his ...
... The BehaviourGUI toolbox allows data to be synchronised so several data sets (such as a video recording and computed velocity) easily can be analysed simultaneously. This is of great help when trying to find when the rat is moving. . . . . . . . . . . . . . . . . . . . . . . . . A perievent time his ...
A Bayesian network primer
... distribution and optionally the causal structure of the domain. In an intuitive causal interpretation, the nodes represent the uncertain quantities, the edges denote direct causal influences, defining the model structure. A local probabilistic model is attached to each node to quantify the stochasti ...
... distribution and optionally the causal structure of the domain. In an intuitive causal interpretation, the nodes represent the uncertain quantities, the edges denote direct causal influences, defining the model structure. A local probabilistic model is attached to each node to quantify the stochasti ...
neural_networks
... firing its own action potential or by not firing. The postsynaptic neuron tallies the votes over the set of inputs—a ‘no’ vote is a zero and a ‘yes’ vote has some positive value (= 1 in simplest model). If tally is large enough, postsynaptic neuron declares ‘yes’ and it fires If the tally is not lar ...
... firing its own action potential or by not firing. The postsynaptic neuron tallies the votes over the set of inputs—a ‘no’ vote is a zero and a ‘yes’ vote has some positive value (= 1 in simplest model). If tally is large enough, postsynaptic neuron declares ‘yes’ and it fires If the tally is not lar ...
An Evolutionary Artificial Neural Network Time Series Forecasting
... The chromosome with the lower SMSE will automatically survive for the next generation. This purification process accelerates the search and also warranties that if a optimum ANN is reached then it will never be lost. There are 6 (six) factors that affect a good forecast: the number of input nodes, t ...
... The chromosome with the lower SMSE will automatically survive for the next generation. This purification process accelerates the search and also warranties that if a optimum ANN is reached then it will never be lost. There are 6 (six) factors that affect a good forecast: the number of input nodes, t ...