Computational modeling of responses in human visual
... In the mid-1800s, biologists began examining the responses in animal brains to localize various stimulus-driven responses. Visual cortex was localized rather early, though not without some serious disputes (1-3). The biologists were joined in the late 19th and early 20th centuries by neurologists an ...
... In the mid-1800s, biologists began examining the responses in animal brains to localize various stimulus-driven responses. Visual cortex was localized rather early, though not without some serious disputes (1-3). The biologists were joined in the late 19th and early 20th centuries by neurologists an ...
3 Implementation of Language Model Based on Mirror Neuron System
... In part 2 the graphical user interface (GUI) of the simulation is declared (only necessary for online simulations, i.e., if the flag macro STANDALONE is inactive). For this purpose, first the Felix headers (see Fig. 2) must be included (in extern ``C'' brackets since Felix has been implemented in C) ...
... In part 2 the graphical user interface (GUI) of the simulation is declared (only necessary for online simulations, i.e., if the flag macro STANDALONE is inactive). For this purpose, first the Felix headers (see Fig. 2) must be included (in extern ``C'' brackets since Felix has been implemented in C) ...
Bridging Rate Coding and Temporal Spike Coding
... intersynchronization intervals smooths out high-frequency information on S共t兲. On the other hand, the cortical neurons fire less synchronously as the noise increases (s $ 0.003). When the noise level is intermediate (s [ 关0.003, 0.008兴), the cortical neurons desynchronize and each neuron encodes a d ...
... intersynchronization intervals smooths out high-frequency information on S共t兲. On the other hand, the cortical neurons fire less synchronously as the noise increases (s $ 0.003). When the noise level is intermediate (s [ 关0.003, 0.008兴), the cortical neurons desynchronize and each neuron encodes a d ...
Redgrave - people.vcu.edu
... the ventral midbrain. Note also that our use of the term ‘event’ refers exclusively to visual stimuli with a phasic onset, as again, to our knowledge, there are no reports indicating that perception of a salient static visual feature can elicit a phasic DA response. Recent analyses of cortical visua ...
... the ventral midbrain. Note also that our use of the term ‘event’ refers exclusively to visual stimuli with a phasic onset, as again, to our knowledge, there are no reports indicating that perception of a salient static visual feature can elicit a phasic DA response. Recent analyses of cortical visua ...
Possibilistic conditional independence: A similarity
... tentative belief networks by using measure of the quality of the distribution implied by the D A G being built. Current approaches use as a quality measure a posteriori probability of the network given the database [6], entropy of the distribution of the final D A G [5] and Minimum Description Lengt ...
... tentative belief networks by using measure of the quality of the distribution implied by the D A G being built. Current approaches use as a quality measure a posteriori probability of the network given the database [6], entropy of the distribution of the final D A G [5] and Minimum Description Lengt ...
artificial neural networks
... Machine learning involves adaptive mechanisms that enable computers to learn from experience, learn by example and learn by analogy. Learning capabilities can improve the performance of an intelligent system over time. The most popular approaches to machine learning are artificial neural networks an ...
... Machine learning involves adaptive mechanisms that enable computers to learn from experience, learn by example and learn by analogy. Learning capabilities can improve the performance of an intelligent system over time. The most popular approaches to machine learning are artificial neural networks an ...
Bat Call Identification with Gaussian Process Multinomial Probit
... With the success of kernel based classification methods such as the Support Vector Machines and Gaussian process classifiers several researches have investigated the use of DTW to construct positive definite kernel functions. The kernel proposed by Hansheng and Bingyu (2007) however is not guarantee ...
... With the success of kernel based classification methods such as the Support Vector Machines and Gaussian process classifiers several researches have investigated the use of DTW to construct positive definite kernel functions. The kernel proposed by Hansheng and Bingyu (2007) however is not guarantee ...
The Origins of Inductive Logic Programming
... The learning algorithm used in the program, INDUCE-1.1 is described by Dietterich (1978) and Michalski (1980). Briefly, the program begins by augmenting the data rules input by the user, by using the inference rules in the domain knowledge to produce new rules. For example, if an example includes a ...
... The learning algorithm used in the program, INDUCE-1.1 is described by Dietterich (1978) and Michalski (1980). Briefly, the program begins by augmenting the data rules input by the user, by using the inference rules in the domain knowledge to produce new rules. For example, if an example includes a ...
How MT cells analyze the motion of visual patterns
... increasingly useful in sensory neuroscience. The power of L-N models lies in their simplicity, the ease with which they can be fit to data, and their ability to describe stimulus selectivity for a wide variety of neurons (see ref. 11). For example, the responses of V1 cells are well captured by a mo ...
... increasingly useful in sensory neuroscience. The power of L-N models lies in their simplicity, the ease with which they can be fit to data, and their ability to describe stimulus selectivity for a wide variety of neurons (see ref. 11). For example, the responses of V1 cells are well captured by a mo ...
Building a Cultural Intelligence Decision Support System - R
... for cognitive theorists, regardless of what they are called or how they are classified. Motivational Aspect: Motivational theorists argue that there is more to intelligence than cognition and that motivation must also be taken into consideration. Three principal properties of motivation need to be ...
... for cognitive theorists, regardless of what they are called or how they are classified. Motivational Aspect: Motivational theorists argue that there is more to intelligence than cognition and that motivation must also be taken into consideration. Three principal properties of motivation need to be ...
Performance Analysis of Various Activation Functions in
... the posterior probability in a binary classification problem [3]. Liu and Yao improved the structure of Generalized Neural Networks (GNN) with two different activation function types which are sigmoid and Gaussian basis functions [4]. Sopena et al. presented a number of experiments (with widely–used ...
... the posterior probability in a binary classification problem [3]. Liu and Yao improved the structure of Generalized Neural Networks (GNN) with two different activation function types which are sigmoid and Gaussian basis functions [4]. Sopena et al. presented a number of experiments (with widely–used ...
Towards common-sense reasoning via conditional
... of learning, inference, and decision-making. These arise via Bayesian inference, and common-sense behavior can be seen to follow implicitly from past experience and models of causal structure and goals, rather than explicitly via rules or purely deductive reasoning. Using the extended example of med ...
... of learning, inference, and decision-making. These arise via Bayesian inference, and common-sense behavior can be seen to follow implicitly from past experience and models of causal structure and goals, rather than explicitly via rules or purely deductive reasoning. Using the extended example of med ...
Artificial Neural Network As A Valuable Tool For Petroleum Eng
... biologically inspired computing scheme, is an analog, adaptive, distributive, and highly parallel system that has been used in many disciplines and has proven to have potential in solving problems that require pattern recognition. The main interest in neural network has its roots in the recognition ...
... biologically inspired computing scheme, is an analog, adaptive, distributive, and highly parallel system that has been used in many disciplines and has proven to have potential in solving problems that require pattern recognition. The main interest in neural network has its roots in the recognition ...
The neuronal ceroid lipofuscinoses: the same, but different?
... of mutations in these disease-causing genes may have radically different consequences. A key consideration is whether these phenotypes observed in mice are also present in a more complex CNS (central nervous system), most importantly in the human disease. In this respect, large animal models of NCL ...
... of mutations in these disease-causing genes may have radically different consequences. A key consideration is whether these phenotypes observed in mice are also present in a more complex CNS (central nervous system), most importantly in the human disease. In this respect, large animal models of NCL ...
Non-rigid structure from motion using quadratic deformation models
... knowledge that the reconstructed shape does not vary much from frame to frame while Del Bue et al. [6] impose the constraint that some of the points on the object are rigid. Both approaches use bundle adjustment to refine all the parameters of the model simultaneously. Bartoli et al. [2] on the othe ...
... knowledge that the reconstructed shape does not vary much from frame to frame while Del Bue et al. [6] impose the constraint that some of the points on the object are rigid. Both approaches use bundle adjustment to refine all the parameters of the model simultaneously. Bartoli et al. [2] on the othe ...
neurotransmitters 101
... starts to dwindle, the furnace loses efficiency or might stop functioning altogether, leaving the house at the mercy of old man winter. The same logic applies to neurotransmission. Without enough neurotransmitters in the system, whether excitatory or inhibitory, the system as a whole does not functi ...
... starts to dwindle, the furnace loses efficiency or might stop functioning altogether, leaving the house at the mercy of old man winter. The same logic applies to neurotransmission. Without enough neurotransmitters in the system, whether excitatory or inhibitory, the system as a whole does not functi ...
Case-based Reasoning in Agent-based Decision Support System
... chaining algorithms. Forward chaining is an example of the general concept of data-driven reasoning - that is, reasoning in which the focus of attention starts with the known data. It can be used within an agent to derive conclusions from incoming percepts, often without a specific query in mind. Ne ...
... chaining algorithms. Forward chaining is an example of the general concept of data-driven reasoning - that is, reasoning in which the focus of attention starts with the known data. It can be used within an agent to derive conclusions from incoming percepts, often without a specific query in mind. Ne ...
Person Movement Prediction Using Neural Networks
... applications, where virtual images must be continuously stabilized in space against the user’s head motion in a head-mounted display. Latencies in head-motion compensation cause virtual objects to swim around instead of being stable in space. To address this problem, Aguilar et. al. used machine lea ...
... applications, where virtual images must be continuously stabilized in space against the user’s head motion in a head-mounted display. Latencies in head-motion compensation cause virtual objects to swim around instead of being stable in space. To address this problem, Aguilar et. al. used machine lea ...