A Neural Schema Architecture for Autonomous Robots
... robotic agent taking the place of the toad. At the highest level, model behavior is described by means of schema specifications. The complete model at this level is described by a network of interconnected schemas as shown in Figure 12: The model consists of visual and tactile sensory input, percept ...
... robotic agent taking the place of the toad. At the highest level, model behavior is described by means of schema specifications. The complete model at this level is described by a network of interconnected schemas as shown in Figure 12: The model consists of visual and tactile sensory input, percept ...
FIGURE LEGENDS FIGURE 46.1 Lateral viewof a human brain
... with multiple behavioral systems (visual, motor, cognitive, and motivational) and fashions a unified signal of “salience” based on multiple task demands. By virtue of feedback connections to these systems the salience map can help coordinate output processing in multiple “task-relevant areas.” FIGUR ...
... with multiple behavioral systems (visual, motor, cognitive, and motivational) and fashions a unified signal of “salience” based on multiple task demands. By virtue of feedback connections to these systems the salience map can help coordinate output processing in multiple “task-relevant areas.” FIGUR ...
Continuous transformation learning of translation
... fundamental issue in understanding visual object recognition is to understand how invariant representations can be formed using well-controlled stimuli, rather than large numbers of stimuli. In this paper, we show for the first time that translation invariant object recognition can be formed by a se ...
... fundamental issue in understanding visual object recognition is to understand how invariant representations can be formed using well-controlled stimuli, rather than large numbers of stimuli. In this paper, we show for the first time that translation invariant object recognition can be formed by a se ...
Neural Networks
... commercial off-the-shelf products – some let you train networks and use them with no more knowledge than needed for the real estate appraisal example Slide 29 ...
... commercial off-the-shelf products – some let you train networks and use them with no more knowledge than needed for the real estate appraisal example Slide 29 ...
Emergence of Sense-Making Behavior by the Stimulus Avoidance
... to study potential memory and learning by nervous systems. Using the real biological neural networks is advantageous in that, for example, we can study potential complexity, which may be difficult to implement in artificial neural networks. In this study, we use a dissociated cultured neural system ...
... to study potential memory and learning by nervous systems. Using the real biological neural networks is advantageous in that, for example, we can study potential complexity, which may be difficult to implement in artificial neural networks. In this study, we use a dissociated cultured neural system ...
NeuroMem Decision Space Mapping
... modeling the decision space. The outcome can have three possible classification status: Identified with certainty, Identified with uncertainty, Unknown. As a result, the RCE/RBF classifier is very powerful since it allows managing uncertainty for a better, more refined diagnostic. It is also especia ...
... modeling the decision space. The outcome can have three possible classification status: Identified with certainty, Identified with uncertainty, Unknown. As a result, the RCE/RBF classifier is very powerful since it allows managing uncertainty for a better, more refined diagnostic. It is also especia ...
ImageSurfer: Visualization of Dendritic Spines
... A single slice of the sample is illuminated with a wavelength that causes the a phosphorescing tag named DiO (dioctadecyloxacarbocyanine perchlorate) to glow and an image is captured. The phosphorescing DiO reveals the lipid layor of the dendrites. The sample is then illuminated with another wavelen ...
... A single slice of the sample is illuminated with a wavelength that causes the a phosphorescing tag named DiO (dioctadecyloxacarbocyanine perchlorate) to glow and an image is captured. The phosphorescing DiO reveals the lipid layor of the dendrites. The sample is then illuminated with another wavelen ...
Text S1.
... information of a deeper layer X, requires that we have knowledge of the system (layers 1 through X) that is not local to layer X itself. We can apply the same reasoning to determine the information contained within a more realistic ion channel. For example, a voltage-activated channel could be made ...
... information of a deeper layer X, requires that we have knowledge of the system (layers 1 through X) that is not local to layer X itself. We can apply the same reasoning to determine the information contained within a more realistic ion channel. For example, a voltage-activated channel could be made ...
S - melnikov.info
... The agent (machine learning model) is defined as a function, that maps inputs to outputs. The goal of learning is to modify the agent’s parameters, such that the agent produces desired outputs. ...
... The agent (machine learning model) is defined as a function, that maps inputs to outputs. The goal of learning is to modify the agent’s parameters, such that the agent produces desired outputs. ...
A coincidence detector neural network model of selective attention
... In addition to influence from top-down spatial goals, the neural activation of each stimulus is progressively modulated by top-down signals of semantic information. We propose that a correlation control mechanism that includes coincidence detector neurons determines the correlation between semantic ...
... In addition to influence from top-down spatial goals, the neural activation of each stimulus is progressively modulated by top-down signals of semantic information. We propose that a correlation control mechanism that includes coincidence detector neurons determines the correlation between semantic ...
Simulating the Fröhlich Effect of Motion Misperception as a Result... Attentional Modulation in the Visual System
... Fröhlich effect. Additionally, this keeps the model simple and makes its visualization easy. Just like the visual system, the model is hierarchical. It consists of five layers, the first of which explicitly represents the input (more precisely, it corresponds to one row of pixels on a computer scree ...
... Fröhlich effect. Additionally, this keeps the model simple and makes its visualization easy. Just like the visual system, the model is hierarchical. It consists of five layers, the first of which explicitly represents the input (more precisely, it corresponds to one row of pixels on a computer scree ...
Regionalization of the nervous system 2
... field was the discovery of a localized source for morphogens known as the Spemann organizer (Spemann and Mangold, 1924). The term ‘morphogen’ was coined by Turing, who described how uniformly distributed signals made by cells can spread, self-organize, and generate pattern (Turing, 1952). The Turing ...
... field was the discovery of a localized source for morphogens known as the Spemann organizer (Spemann and Mangold, 1924). The term ‘morphogen’ was coined by Turing, who described how uniformly distributed signals made by cells can spread, self-organize, and generate pattern (Turing, 1952). The Turing ...
PDF file
... Much effort has been spent to realize general object recognition in cluttered backgrounds. The appearance-based feature descriptors are quite selective for a target shape but limited in tolerance to the object transformations. The histogram-based descriptors, for an example, the SIFT features, show ...
... Much effort has been spent to realize general object recognition in cluttered backgrounds. The appearance-based feature descriptors are quite selective for a target shape but limited in tolerance to the object transformations. The histogram-based descriptors, for an example, the SIFT features, show ...
Large-scale cognitive model design using the Nengo neural simulator
... about the brain regions being captured by the model. However, the additional details which must be added by the modeller are often fertile ground for determining specific predictions that come out of the proposed model Eliasmith and Trujillo (2014). Specifically, in larger models outside of the scop ...
... about the brain regions being captured by the model. However, the additional details which must be added by the modeller are often fertile ground for determining specific predictions that come out of the proposed model Eliasmith and Trujillo (2014). Specifically, in larger models outside of the scop ...
A neuropsychological theory of metaphor
... account. That is, we are not looking for the answer to this question in terms of communicative needs or desires or even in terms of the utility of metaphor in the organization of thought. In the words of Richards, who might be seen as an early pioneer in the cognitive study of metaphor, ÔThought is ...
... account. That is, we are not looking for the answer to this question in terms of communicative needs or desires or even in terms of the utility of metaphor in the organization of thought. In the words of Richards, who might be seen as an early pioneer in the cognitive study of metaphor, ÔThought is ...
Why light
... But the range of responses of receptors and the bipolar – ganglion cells to which they connect is only about 800 to 1. This means that significant changes in intensity would be represented by very small changes in response rate of the cells involved. This would likely result in many intensity change ...
... But the range of responses of receptors and the bipolar – ganglion cells to which they connect is only about 800 to 1. This means that significant changes in intensity would be represented by very small changes in response rate of the cells involved. This would likely result in many intensity change ...
Document
... G(M) are very informative For example we have the Theorem: The number of non-trivial connected components is a lower-bound on the number of recombinations needed in any network. We will see that the non-trivial connected components are the key to the finest possible decomposition, and have other ess ...
... G(M) are very informative For example we have the Theorem: The number of non-trivial connected components is a lower-bound on the number of recombinations needed in any network. We will see that the non-trivial connected components are the key to the finest possible decomposition, and have other ess ...
Barnes TD, Kubota Y, Hu D, Jin DZ, Graybiel AM. Activity of striatal
... task-irrelevant firing was suppressed, then rebounded, and then was suppressed again. These changing spike activity patterns were highly correlated with changes in behavioural performance. We propose that these changes in task representation in cortico-basal ganglia circuits represent neural equival ...
... task-irrelevant firing was suppressed, then rebounded, and then was suppressed again. These changing spike activity patterns were highly correlated with changes in behavioural performance. We propose that these changes in task representation in cortico-basal ganglia circuits represent neural equival ...
MirrorBot Report 6
... visual cortex model. Right part of the figure shows the two cortical surfaces, displaying at the location of each neuron the pixel that is at the centre of its receptive field. This has to be related to figure 1.3. 1.2.2. Contrast detection Once the centres and sizes of cortical filters are defined ...
... visual cortex model. Right part of the figure shows the two cortical surfaces, displaying at the location of each neuron the pixel that is at the centre of its receptive field. This has to be related to figure 1.3. 1.2.2. Contrast detection Once the centres and sizes of cortical filters are defined ...
Narrow Versus Wide Tuning Curves: What`s Best for a Population
... Do the output neurons contain more information than the input neurons just because they have narrower tuning curves? The answer is no, regardless of the details of the implementation, because processing and transmission cannot increase information in a closed system (Shannon & Weaver, 1963). Sharpen ...
... Do the output neurons contain more information than the input neurons just because they have narrower tuning curves? The answer is no, regardless of the details of the implementation, because processing and transmission cannot increase information in a closed system (Shannon & Weaver, 1963). Sharpen ...
Cortex-inspired Developmental Learning for Vision-based Navigation, Attention and Recognition
... behaviors in the challenging task of vision-based navigation, using reinforcement learning and supervised learning jointly. Locally Balanced Incremental Hierarchical Discriminant Regression (LBIHDR) Tree was developed as a cognitive mapping engine to automatically generate internal representations, ...
... behaviors in the challenging task of vision-based navigation, using reinforcement learning and supervised learning jointly. Locally Balanced Incremental Hierarchical Discriminant Regression (LBIHDR) Tree was developed as a cognitive mapping engine to automatically generate internal representations, ...
Narrow versus wide tuning curves: What`s best for a population code?
... Therefore, in this case, narrow tuning curves are better, in the sense that they transmit more information about the presentation angle. Note that using a center-of-mass estimator (dashed line) to compute the MDC leads to the opposite conclusion: that wide tuning curves are better. This is a compell ...
... Therefore, in this case, narrow tuning curves are better, in the sense that they transmit more information about the presentation angle. Note that using a center-of-mass estimator (dashed line) to compute the MDC leads to the opposite conclusion: that wide tuning curves are better. This is a compell ...
Narrow versus wide tuning curves: What`s best for a population code?
... Therefore, in this case, narrow tuning curves are better, in the sense that they transmit more information about the presentation angle. Note that using a center-of-mass estimator (dashed line) to compute the MDC leads to the opposite conclusion: that wide tuning curves are better. This is a compell ...
... Therefore, in this case, narrow tuning curves are better, in the sense that they transmit more information about the presentation angle. Note that using a center-of-mass estimator (dashed line) to compute the MDC leads to the opposite conclusion: that wide tuning curves are better. This is a compell ...
Olfactory network dynamics and the coding of multidimensional
... Olfactory network dynamics and the coding of multidimensional signals ...
... Olfactory network dynamics and the coding of multidimensional signals ...
module 6 - sandrablake
... How neurons communicate - When a neuron fires, changes occur both within a neuron and between neurons: The neural impulse – communication within a neuron When a neuron _____________ the neural impulse is called an _________________ _______________________. It is a brief __________________ __________ ...
... How neurons communicate - When a neuron fires, changes occur both within a neuron and between neurons: The neural impulse – communication within a neuron When a neuron _____________ the neural impulse is called an _________________ _______________________. It is a brief __________________ __________ ...