Chaos and neural dynamics
... key experiments can be used for the analysis. The main results in this avenue are associated with the analysis of the behavior of individual neurons and neural ensembles, which confirms that the dynamics of a collection of neurons is more regular than their individual dynamics. This is true also for ...
... key experiments can be used for the analysis. The main results in this avenue are associated with the analysis of the behavior of individual neurons and neural ensembles, which confirms that the dynamics of a collection of neurons is more regular than their individual dynamics. This is true also for ...
Papert (1988)
... Invariance Theorem, that linear threshold functions which are invariant under a permutation group can be transformed into a function whose coefficients depend only on the group; a major result is that the only linear (i.e., order 1) functions invariant under such transitive groups as scaling, transl ...
... Invariance Theorem, that linear threshold functions which are invariant under a permutation group can be transformed into a function whose coefficients depend only on the group; a major result is that the only linear (i.e., order 1) functions invariant under such transitive groups as scaling, transl ...
Unsupervised Learning What is clustering for?
... • One method is to remove some data points in the clustering process that are much further away from the centroids than other data points. – To be safe, we may want to monitor these possible outliers over a few iterations and then decide to remove them. ...
... • One method is to remove some data points in the clustering process that are much further away from the centroids than other data points. – To be safe, we may want to monitor these possible outliers over a few iterations and then decide to remove them. ...
Note 11.1 - The Nervous System
... The response is the output or action resulting from the integration. Neural signaling requires three functional classes of neurons; afferent neuron, interneuron and efferent neuron. The afferent neuron is also known as the sensory neuron is responsible for transmitting the stimuli received by the se ...
... The response is the output or action resulting from the integration. Neural signaling requires three functional classes of neurons; afferent neuron, interneuron and efferent neuron. The afferent neuron is also known as the sensory neuron is responsible for transmitting the stimuli received by the se ...
09-unsupervised - The University of Iowa
... • Despite weaknesses, k-means is still the most popular algorithm due to its simplicity, efficiency and – other clustering algorithms have their own lists of weaknesses. • No clear evidence that any other clustering algorithm performs better in general – although they may be more suitable for some s ...
... • Despite weaknesses, k-means is still the most popular algorithm due to its simplicity, efficiency and – other clustering algorithms have their own lists of weaknesses. • No clear evidence that any other clustering algorithm performs better in general – although they may be more suitable for some s ...
Psychology312-2_002 - Northwestern University
... things that organisms do—including acting, thinking and feeling—can and should be regarded as behaviors.[1] The behaviorist school of thought maintains that behaviors as such can be described scientifically without recourse either to internal physiological events or to hypothetical constructs such a ...
... things that organisms do—including acting, thinking and feeling—can and should be regarded as behaviors.[1] The behaviorist school of thought maintains that behaviors as such can be described scientifically without recourse either to internal physiological events or to hypothetical constructs such a ...
Biological Bases of Behavior: Neural Processing and the Endocrine
... • Larger body systems are made up of smaller and smaller sub systems. As these systems condense, they create specific organs, such as heart and lungs. These are then involved in larger systems, such as your circulatory system These systems then become part of the an even larger system, the individua ...
... • Larger body systems are made up of smaller and smaller sub systems. As these systems condense, they create specific organs, such as heart and lungs. These are then involved in larger systems, such as your circulatory system These systems then become part of the an even larger system, the individua ...
Comparison of Neural Network and Statistical
... Harvey A.C., E. Ruiz and N. Shephard (1994), “Multivariate Stochastic Variance Models”, Review of Economic Studies, 61, 247-264. McClelland J.L. and D.E. Rummelhart (1986), “Parallel Distributed ...
... Harvey A.C., E. Ruiz and N. Shephard (1994), “Multivariate Stochastic Variance Models”, Review of Economic Studies, 61, 247-264. McClelland J.L. and D.E. Rummelhart (1986), “Parallel Distributed ...
disparity detection from stereo
... stimuli to enhance their visual perception. In the real world, objects do not come into and disappear from the field of view randomly, but rather, they typically move continuously across the field of view, given their motion is not too fast for the brain to respond. At the pixel level, however, valu ...
... stimuli to enhance their visual perception. In the real world, objects do not come into and disappear from the field of view randomly, but rather, they typically move continuously across the field of view, given their motion is not too fast for the brain to respond. At the pixel level, however, valu ...
Document
... spatio-temporal statistics of natural visual inputs to be able to associate together different exemplars of the same stimulus or object which will tend to occur in temporal proximity. In this paper the different exemplars of a stimulus are the same stimulus in different positions. First it is shown ...
... spatio-temporal statistics of natural visual inputs to be able to associate together different exemplars of the same stimulus or object which will tend to occur in temporal proximity. In this paper the different exemplars of a stimulus are the same stimulus in different positions. First it is shown ...
Visual Motion Perception using Critical Branching Neural Computation
... Communication in neural networks largely occurs via thresholded spiking signals between neurons, which are connected by characteristically recurrent loops varying in spatial and temporal scale (Buzsáki, 2006). This connectivity structure produces patterns of network activity that are continually in ...
... Communication in neural networks largely occurs via thresholded spiking signals between neurons, which are connected by characteristically recurrent loops varying in spatial and temporal scale (Buzsáki, 2006). This connectivity structure produces patterns of network activity that are continually in ...
A Case Study: Improve Classification of Rare Events
... For multi-dimensional data, the algorithm works in the same way. For observations with interval variables, we can directly calculate their Euclidean distances, but for the ones with categorical variables, we need to first apply dummy variable transformation to have them in a numeric form and then ca ...
... For multi-dimensional data, the algorithm works in the same way. For observations with interval variables, we can directly calculate their Euclidean distances, but for the ones with categorical variables, we need to first apply dummy variable transformation to have them in a numeric form and then ca ...
Small Networks
... • How does the brain produce reliable output (consistent behaviors)? • Does the robustness of functional networks overcome the variability due to noise? • Or is stochasticity a necessary component of how the system works? – (Yarom & Hounsgaard 2011) ...
... • How does the brain produce reliable output (consistent behaviors)? • Does the robustness of functional networks overcome the variability due to noise? • Or is stochasticity a necessary component of how the system works? – (Yarom & Hounsgaard 2011) ...
A neural reinforcement learning model for tasks with unknown time... Daniel Rasmussen () Chris Eliasmith ()
... building models capable of this type of learning is an important step in understanding the decision making processes in the brain. There have been models built that solve these types of tasks, but often they take the TD error signal (Equation 3) as given, or it is computed outside the model (Foster ...
... building models capable of this type of learning is an important step in understanding the decision making processes in the brain. There have been models built that solve these types of tasks, but often they take the TD error signal (Equation 3) as given, or it is computed outside the model (Foster ...
Evolutionary Optimization of Radial Basis Function Classifiers for
... The integration of advanced learning approaches into the evolution process is mentioned in the following articles: In [22], the recursive orthogonal least-squares algorithm is applied to optimize the centers (number and locations). The regularized orthogonal least-squares algorithm (an efficient for ...
... The integration of advanced learning approaches into the evolution process is mentioned in the following articles: In [22], the recursive orthogonal least-squares algorithm is applied to optimize the centers (number and locations). The regularized orthogonal least-squares algorithm (an efficient for ...
Ergo: A Graphical Environment for Constructing Bayesian
... that clique. As a node always forms a clique with at least its parents, the maximum number of parents over all nodes in the network is an important determinant of the running time. In contrast to Pearl's algorithm, observing evidence makes inference faster by simplifying the tree of cliques. Approxi ...
... that clique. As a node always forms a clique with at least its parents, the maximum number of parents over all nodes in the network is an important determinant of the running time. In contrast to Pearl's algorithm, observing evidence makes inference faster by simplifying the tree of cliques. Approxi ...
A Dynamic Field Theory of Visual Recognition in Infant Looking... Gregor Schöner Sammy Perone () and John P. Spencer ()
... working memory layer, w(x), and a shared layer of (inhibitory) interneurons, v(x). The perceptual and working memory layers are reciprocally coupled to associated longterm memory fields, ultm(x) and wltm(x). A bistable looking node is also reciprocally coupled to the perceptual layer. Figure 1 shows ...
... working memory layer, w(x), and a shared layer of (inhibitory) interneurons, v(x). The perceptual and working memory layers are reciprocally coupled to associated longterm memory fields, ultm(x) and wltm(x). A bistable looking node is also reciprocally coupled to the perceptual layer. Figure 1 shows ...
39_LectureSlides
... during early childhood subsequently have difficulty in pattern recognition. David Hubel and Torsten Wiesel - won the Nobel prize for studies in the 70’s and 80’s on sensory deprivation. They deprived animals of visual input (by closing/suturing the eyelid of one or both eyes) and analyzing the conse ...
... during early childhood subsequently have difficulty in pattern recognition. David Hubel and Torsten Wiesel - won the Nobel prize for studies in the 70’s and 80’s on sensory deprivation. They deprived animals of visual input (by closing/suturing the eyelid of one or both eyes) and analyzing the conse ...
feature analyzers in the brain
... motor centers: bulbar-spinal region of brain OT (T5(2) & other) neurons project BS region stimulate BS region spike in T5(2) neurons* dye-fill T5(2) see projections into BS region * opposite to the normal direction of information ...
... motor centers: bulbar-spinal region of brain OT (T5(2) & other) neurons project BS region stimulate BS region spike in T5(2) neurons* dye-fill T5(2) see projections into BS region * opposite to the normal direction of information ...
Neurulation I (Pevny)
... Neural plate is firmly anchored to adjacent tissues at hinge points (to the notochord for MHP an Epidermal ectoderm for the DLHP. 2. Neuroepithelial cell wedging within the hinge-points generates furrowing. 3. Forces for folding are generated lateral to the hinge points by the expanding epidermal ec ...
... Neural plate is firmly anchored to adjacent tissues at hinge points (to the notochord for MHP an Epidermal ectoderm for the DLHP. 2. Neuroepithelial cell wedging within the hinge-points generates furrowing. 3. Forces for folding are generated lateral to the hinge points by the expanding epidermal ec ...
Connecting cortex to machines: recent advances in brain interfaces
... vector and neural network models, have been implemented by these groups to show that the firing rate of motor cortex populations provides a remarkably good—though not perfect—estimate of how the hand is moving through space. Although these mathematical techniques are themselves not new, it is a sign ...
... vector and neural network models, have been implemented by these groups to show that the firing rate of motor cortex populations provides a remarkably good—though not perfect—estimate of how the hand is moving through space. Although these mathematical techniques are themselves not new, it is a sign ...
Coefficient of Variation (CV) vs Mean Interspike Interval (ISI) curves
... the high firing variability but temporally correlated ones do. This was also confirmed by modelling by Sakai et al. [13] and analytically and numerically by Feng and Brown [10]. Stevens and Zador [19], Sakai et al. [13] and Feng and Brown [10] have not produced any CV vs Mean ISI curves. For these r ...
... the high firing variability but temporally correlated ones do. This was also confirmed by modelling by Sakai et al. [13] and analytically and numerically by Feng and Brown [10]. Stevens and Zador [19], Sakai et al. [13] and Feng and Brown [10] have not produced any CV vs Mean ISI curves. For these r ...
slides
... characteristics of embossed letters are represented in the discharge of cutaneous mechanoreception and neurons in primary somatic sensory cortex. A). 1. Embossed letters on a cylindrical drum are used to study the spatial pattern of neuronal activity in mechanoreception innervating the finger tip an ...
... characteristics of embossed letters are represented in the discharge of cutaneous mechanoreception and neurons in primary somatic sensory cortex. A). 1. Embossed letters on a cylindrical drum are used to study the spatial pattern of neuronal activity in mechanoreception innervating the finger tip an ...
Stages in Neuromuscular Synapse Elimination
... • The surviving input takes over the synaptic space formerly occupied by the losing input(s). Walsh & Lichtman, Neuron 37: 67-73, 2003 ...
... • The surviving input takes over the synaptic space formerly occupied by the losing input(s). Walsh & Lichtman, Neuron 37: 67-73, 2003 ...
On the relevance of time in neural computation and learning
... KrLuger and Aiple [24]. Each =ring is denoted by a vertical bar, with a separate row for each neuron. For comparison we have shaded an interval of 150 ms. This time span is known to suMce for the completion of some complex multilayer cortical computations. ...
... KrLuger and Aiple [24]. Each =ring is denoted by a vertical bar, with a separate row for each neuron. For comparison we have shaded an interval of 150 ms. This time span is known to suMce for the completion of some complex multilayer cortical computations. ...