![Neural Correlates of Learning in the Prefrontal Cortex of the Monkey](http://s1.studyres.com/store/data/002620831_1-a8f8a22c37f07133ba08c515d2136bb3-300x300.png)
Neural Correlates of Learning in the Prefrontal Cortex of the Monkey
... The following section illustrates the properties of the bistable rule for a network. This rule allows a DR task to be learned and neuronal activity in prefrontal neurons during acquisition of this task to be predicted. A Neural Network Model of Prefrontal Circuits A neural network model, which illus ...
... The following section illustrates the properties of the bistable rule for a network. This rule allows a DR task to be learned and neuronal activity in prefrontal neurons during acquisition of this task to be predicted. A Neural Network Model of Prefrontal Circuits A neural network model, which illus ...
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... environment by programming various constraint into the robot program. For the robot system we are interested in, the task-specific information is not available until the system is built and released to the users, when the internal-data-level intervention by human engineers is no longer possible. Int ...
... environment by programming various constraint into the robot program. For the robot system we are interested in, the task-specific information is not available until the system is built and released to the users, when the internal-data-level intervention by human engineers is no longer possible. Int ...
Graded Potentials
... Describe the anatomical and functional divisions of the nervous system. Sketch and label the structure of a typical neuron, describe the functions of each component, and classify neurons on the basis of their structure and function. Describe the locations and functions of the various types of ...
... Describe the anatomical and functional divisions of the nervous system. Sketch and label the structure of a typical neuron, describe the functions of each component, and classify neurons on the basis of their structure and function. Describe the locations and functions of the various types of ...
A Counter Based Connectionist Model of Animal Timing - APT
... is represented as an activation quantity. This neural network tends to preserve all external activation it receives over a sequence of time steps. If the activation quantity from an external input is constant over time, then the activation increases in a linear fashion. Activation transfers probabil ...
... is represented as an activation quantity. This neural network tends to preserve all external activation it receives over a sequence of time steps. If the activation quantity from an external input is constant over time, then the activation increases in a linear fashion. Activation transfers probabil ...
Event-Driven Simulation Scheme for Spiking Neural Networks Using
... is marked with the time instant when the source neuron fires the spike. The second one (the propagated event) is marked with the time instant when the spike reaches the target neuron. Most neurons have large synaptic divergences. In these cases, for each firing event, the simulation scheme produces ...
... is marked with the time instant when the source neuron fires the spike. The second one (the propagated event) is marked with the time instant when the spike reaches the target neuron. Most neurons have large synaptic divergences. In these cases, for each firing event, the simulation scheme produces ...
Laminar analysis of excitatory local circuits in vibrissal motor
... horizontal connectivity (Figures S5-S7 and S9) spanned distances of 1 mm or more, comparable to the thickness of the cortex, suggesting that strong circuits were readily detected. LSPS measurements are perturbed by strong direct responses from dendrites of the recorded neurons, causing an underesti ...
... horizontal connectivity (Figures S5-S7 and S9) spanned distances of 1 mm or more, comparable to the thickness of the cortex, suggesting that strong circuits were readily detected. LSPS measurements are perturbed by strong direct responses from dendrites of the recorded neurons, causing an underesti ...
Lugaro, Ernesto
... specific secretions converge onto the same neuron, their actions can reinforce or hinder each other, giving rise to the phenomena of facilitation or inhibition” (Lugaro, 1909b, p. 52). Lugaro and the glia Lugaro wrote about the possible functions of the glia at a time when it was still believed that ...
... specific secretions converge onto the same neuron, their actions can reinforce or hinder each other, giving rise to the phenomena of facilitation or inhibition” (Lugaro, 1909b, p. 52). Lugaro and the glia Lugaro wrote about the possible functions of the glia at a time when it was still believed that ...
Nervous System
... from the sense receptors to the CNS. Motor (Efferent) Neurons carry outgoing information from the CNS to muscles and glands. Interneurons connect the two neurons. ...
... from the sense receptors to the CNS. Motor (Efferent) Neurons carry outgoing information from the CNS to muscles and glands. Interneurons connect the two neurons. ...
Neurons and Neurotransmission with Nerve slides
... •Direction of impulse – neural impulse can only go one direction; the toilet only flushes one way, the impulse can’t come the other direction (you hope!) •Threshold – critical point after which neural impulse is fired; you can push the handle a little bit, but it won’t flush until you push the hand ...
... •Direction of impulse – neural impulse can only go one direction; the toilet only flushes one way, the impulse can’t come the other direction (you hope!) •Threshold – critical point after which neural impulse is fired; you can push the handle a little bit, but it won’t flush until you push the hand ...
Neurophysiological investigation of the basis of the fMRI signal
... Correlation analysis was applied to both the measurements conducted during visual stimulation and the measurements of spontaneous activity. In either case, the input (neural) data was prewhitened to make the results as uncorrelated as possible. Prewhitening was done by ®tting a 10th-order autoregres ...
... Correlation analysis was applied to both the measurements conducted during visual stimulation and the measurements of spontaneous activity. In either case, the input (neural) data was prewhitened to make the results as uncorrelated as possible. Prewhitening was done by ®tting a 10th-order autoregres ...
Impact of Selection Strength on the Evolution
... patterns, keystones for those involved with input and output. Numbers on links indicate a threshold. A link with no number is activated by an input bit instead of a threshold. ...
... patterns, keystones for those involved with input and output. Numbers on links indicate a threshold. A link with no number is activated by an input bit instead of a threshold. ...
2605_lect9
... • Once migration is complete and structures have formed (aggregation), axons and dendrites begin to grow • Growth cone – at the growing tip of each extension, extends and retracts filopodia as if finding its way • Chemoaffinity hypothesis – postsynaptic targets release a chemical that guides axonal ...
... • Once migration is complete and structures have formed (aggregation), axons and dendrites begin to grow • Growth cone – at the growing tip of each extension, extends and retracts filopodia as if finding its way • Chemoaffinity hypothesis – postsynaptic targets release a chemical that guides axonal ...
Methods for reducing interference in the Complementary Learning
... learning tunes a subset of the hidden units to respond more strongly to that stimulus. As these units respond more and more strongly to the stimulus, they start to inhibit other units. Thus, the neural response to a stimulus transitions from a diffuse overall response (where no units are tuned to re ...
... learning tunes a subset of the hidden units to respond more strongly to that stimulus. As these units respond more and more strongly to the stimulus, they start to inhibit other units. Thus, the neural response to a stimulus transitions from a diffuse overall response (where no units are tuned to re ...
Communication as an emergent metaphor for neuronal operation
... Relationships between real life objects or events are often far more complex for Euclidean spaces and smooth mappings between them to be the most appropriate representations. In reality it is usually the case that objects are comparable only to some objects in the world, but not to all. In other wo ...
... Relationships between real life objects or events are often far more complex for Euclidean spaces and smooth mappings between them to be the most appropriate representations. In reality it is usually the case that objects are comparable only to some objects in the world, but not to all. In other wo ...
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 ...
Resonate-and-fire neurons
... subthreshold damped oscillations of membrane potential. For example, such neurons prefer a certain resonant frequency of the input that is nearly equal to their eigenfrequency, they can be excited or inhibited by a doublet (two pulses) depending on its interspike interval, and they can ®re in respon ...
... subthreshold damped oscillations of membrane potential. For example, such neurons prefer a certain resonant frequency of the input that is nearly equal to their eigenfrequency, they can be excited or inhibited by a doublet (two pulses) depending on its interspike interval, and they can ®re in respon ...
Cell assemblies in the cerebral cortex Günther Palm, Andreas
... they showed that the structure of the cortex (including the hippocampus) fully satisfies the requirements for this theory, in contrast to the structure of other main parts of the brain (cerebellar cortex, basal ganglia, thalamus). The cerebral cortex is the only large network in the brain which cons ...
... they showed that the structure of the cortex (including the hippocampus) fully satisfies the requirements for this theory, in contrast to the structure of other main parts of the brain (cerebellar cortex, basal ganglia, thalamus). The cerebral cortex is the only large network in the brain which cons ...