The Wavelet AI Receiver - Northumbria University
... The aim being to minimise the squared error. This is accomplished through a pre defined training sequence prior to data transmission. Does not boost noise in the same way as the ZFE. Also works best preceded by a match filter. Our simulations show performance of MMSE and ZFE preceded by a match filt ...
... The aim being to minimise the squared error. This is accomplished through a pre defined training sequence prior to data transmission. Does not boost noise in the same way as the ZFE. Also works best preceded by a match filter. Our simulations show performance of MMSE and ZFE preceded by a match filt ...
COSC343: Artificial Intelligence
... trees for sentences Agreement (between subjects and verbs; between determiners and nouns) Grammars using variables to capture agreement constraints Parsing as a kind of search Syntactic ambiguity: how to represent it, and how to disambiguate Alistair Knott (Otago) ...
... trees for sentences Agreement (between subjects and verbs; between determiners and nouns) Grammars using variables to capture agreement constraints Parsing as a kind of search Syntactic ambiguity: how to represent it, and how to disambiguate Alistair Knott (Otago) ...
1 Spiking Neurons
... or T = 500 ms are typical, but the duration may also be longer or shorter. This definition of rate has been successfully used in many preparations, particularly in experiments on sensory or motor systems. A classical example is the stretch receptor in a muscle spindle [Adrian, 1926]. The number of s ...
... or T = 500 ms are typical, but the duration may also be longer or shorter. This definition of rate has been successfully used in many preparations, particularly in experiments on sensory or motor systems. A classical example is the stretch receptor in a muscle spindle [Adrian, 1926]. The number of s ...
NEURAL NETWORK DYNAMICS
... Understanding how neural circuitry generates complex patterns of activity is challenging, and it is even more difficult to build models of this type that remain sensitive to sensory input. In mathematical terms, we need to understand how a system can reconcile a rich internal state structure with a h ...
... Understanding how neural circuitry generates complex patterns of activity is challenging, and it is even more difficult to build models of this type that remain sensitive to sensory input. In mathematical terms, we need to understand how a system can reconcile a rich internal state structure with a h ...
Biomorphic Circuits and Systems: Control of Robotic and Prosthetic Limbs
... Central Pattern Generator, or CPG [1]. CPGs have been found in all vertebrates tested, from lampreys [1], eel-like creatures that live in coastal waters, to cats [2]. Evidence of its presence has also been found in humans in different scenarios: in the spontaneous rhythmic movements made by some pat ...
... Central Pattern Generator, or CPG [1]. CPGs have been found in all vertebrates tested, from lampreys [1], eel-like creatures that live in coastal waters, to cats [2]. Evidence of its presence has also been found in humans in different scenarios: in the spontaneous rhythmic movements made by some pat ...
Midterm Review Answers
... 2) Tetraethylammonium (TEA) prevents the action potential from being produced. (T/F) 3) Radioactive TTX is commonly used to determine the density and distribution of voltage dependent Na+ channels. What would you expect the pattern of TTX labeling to be in a … a) myelinated axon TTX labeling would b ...
... 2) Tetraethylammonium (TEA) prevents the action potential from being produced. (T/F) 3) Radioactive TTX is commonly used to determine the density and distribution of voltage dependent Na+ channels. What would you expect the pattern of TTX labeling to be in a … a) myelinated axon TTX labeling would b ...
Real-Time Credit-Card Fraud Detection using Artificial Neural
... good or not in comparison with the current one, a very basic one is exp((currentSol-nextSol)/currentTemp), (5) and the last one is stopping criteria, there are many stopping criteria’s, in this paper we have used an threshold value of objective function as an stopping criteria. IV. TRAINING OF ANN A ...
... good or not in comparison with the current one, a very basic one is exp((currentSol-nextSol)/currentTemp), (5) and the last one is stopping criteria, there are many stopping criteria’s, in this paper we have used an threshold value of objective function as an stopping criteria. IV. TRAINING OF ANN A ...
Name
... A reflex arc is a way of visualizing the direction of transmission of nerve signals. The arc begins with a receptor, a specialized cell which is stimulated by a change in the environment. For example, some receptors in the skin are sensitive to heat, others to pressure, and so on. If stimulation of ...
... A reflex arc is a way of visualizing the direction of transmission of nerve signals. The arc begins with a receptor, a specialized cell which is stimulated by a change in the environment. For example, some receptors in the skin are sensitive to heat, others to pressure, and so on. If stimulation of ...
Deep neural networks - Cambridge Neuroscience
... of biological neurons. More broadly, the term evokes a particular paradigm for understanding brain function, in which neurons are the essential computational units and computation is explained in terms of network interactions. Note that this leaves aside many biological complexities, including funct ...
... of biological neurons. More broadly, the term evokes a particular paradigm for understanding brain function, in which neurons are the essential computational units and computation is explained in terms of network interactions. Note that this leaves aside many biological complexities, including funct ...
Probing scale interaction in brain dynamics through synchronization
... modelled by dividing the brain into discrete volume elements, or voxels, and coupling them according to statistical correlations and structural information [19–21]. Both the Human Brain Project and the Brain Activity Map project propose integrated views to bridge the gap between the behaviour of sin ...
... modelled by dividing the brain into discrete volume elements, or voxels, and coupling them according to statistical correlations and structural information [19–21]. Both the Human Brain Project and the Brain Activity Map project propose integrated views to bridge the gap between the behaviour of sin ...
Unsupervised feature learning from finite data by
... Understanding how data size confines learning process is a topic of interest not only in machine learning [2] but also in cognitive neuroscience [3]. The underlying neural mechanism or inspired algorithms are still elusive, but recent progress in mean-field theory of restricted Boltzmann machine [4] ...
... Understanding how data size confines learning process is a topic of interest not only in machine learning [2] but also in cognitive neuroscience [3]. The underlying neural mechanism or inspired algorithms are still elusive, but recent progress in mean-field theory of restricted Boltzmann machine [4] ...
Idealizations of Uncertainty, and Lessons from Artificial Intelligence
... 1974) was asked by Parliament to evaluate the state of AI research in the UK, and reported an utter failure of the field to advance on its “grandiose objectives”. In the USA, ARPA, the agency now known as DARPA, received a similar report from the American Study Group. Funding for AI researcher was d ...
... 1974) was asked by Parliament to evaluate the state of AI research in the UK, and reported an utter failure of the field to advance on its “grandiose objectives”. In the USA, ARPA, the agency now known as DARPA, received a similar report from the American Study Group. Funding for AI researcher was d ...
L7- Physiology of Co..
... Respiratory system maintain the concentration of CO2 and O2 CO2 is most important stimulus for regulating respiratory rate. Effects of H+ and CO2 on the chemosensitive area: Effects of blood H+ ions: H+ ions that provide the important stimulus for regulating the rate of respiration, blood H+ ions ca ...
... Respiratory system maintain the concentration of CO2 and O2 CO2 is most important stimulus for regulating respiratory rate. Effects of H+ and CO2 on the chemosensitive area: Effects of blood H+ ions: H+ ions that provide the important stimulus for regulating the rate of respiration, blood H+ ions ca ...
KliperEtAl CIP2010
... The accepted approach to functional single cell characterization has focused on characterizing the Spatio-Temporal Receptive Fields (STRFs) of a neuron: a function that maps timevarying visual inputs to neural responses [9], [11]. Classically, STRFs have been used to implement linear and sometimes s ...
... The accepted approach to functional single cell characterization has focused on characterizing the Spatio-Temporal Receptive Fields (STRFs) of a neuron: a function that maps timevarying visual inputs to neural responses [9], [11]. Classically, STRFs have been used to implement linear and sometimes s ...
cereb cort
... While it is sufficient in certain circumstances for a single node to represent the input (local coding) it is desirable in many other situations to have multiple nodes providing a factorial or distributed representation. As an extremely simple example consider three inputs (‘a’, ‘b’ and ‘c’) each of ...
... While it is sufficient in certain circumstances for a single node to represent the input (local coding) it is desirable in many other situations to have multiple nodes providing a factorial or distributed representation. As an extremely simple example consider three inputs (‘a’, ‘b’ and ‘c’) each of ...
Effective and Efficient Microprocessor Design Space Exploration
... insights about how different design parameters affect the performance or energy of microprocessors. To circumvent these deficiencies of previous techniques, in this paper, we propose the COMT (Co-Training Model Tree) approach for the challenging DSE problem. The key intuition is that similar archite ...
... insights about how different design parameters affect the performance or energy of microprocessors. To circumvent these deficiencies of previous techniques, in this paper, we propose the COMT (Co-Training Model Tree) approach for the challenging DSE problem. The key intuition is that similar archite ...
Parameter Priors for Directed Acyclic Graphical Models
... marginal probability distributions that constitute the factorization of p(x). Each such distribution belongs to the specified family of allowable probability distributions Fs.A DAG model is often called a Bayesian network, although the later name sometimes refers to a specific joint probability dist ...
... marginal probability distributions that constitute the factorization of p(x). Each such distribution belongs to the specified family of allowable probability distributions Fs.A DAG model is often called a Bayesian network, although the later name sometimes refers to a specific joint probability dist ...
Introduction to Cognitive Science
... A representation of something that may be used in place of the real thing, abstracting away unimportant features but retaining the essential. (Cooper). A good model is complete (does not abstract out important properties) and faithful (does not introduce features that are not in the original) with r ...
... A representation of something that may be used in place of the real thing, abstracting away unimportant features but retaining the essential. (Cooper). A good model is complete (does not abstract out important properties) and faithful (does not introduce features that are not in the original) with r ...