computer modelling of neural network of undeveloped living creatures
... beetles suffer from different problems: they move too slow, get stuck at wall, lose the smell of food. Later on after growth of speed the low accuracy causes problem. To resolve these insufficiencies different forms of behaviour appear, these new motion forms help the beetle to survive. When suitabl ...
... beetles suffer from different problems: they move too slow, get stuck at wall, lose the smell of food. Later on after growth of speed the low accuracy causes problem. To resolve these insufficiencies different forms of behaviour appear, these new motion forms help the beetle to survive. When suitabl ...
Sounds of Silence BU scientists are helping a paralyzed man utter his
... laughing,” an involuntary, spasm-like response that he still has when something amuses or excites him. But then two bouts of pneumonia robbed him of the stamina and reaction time needed to spell out words with the letter board. He was back to the limited and laborious yes or no of his eyes. It was a ...
... laughing,” an involuntary, spasm-like response that he still has when something amuses or excites him. But then two bouts of pneumonia robbed him of the stamina and reaction time needed to spell out words with the letter board. He was back to the limited and laborious yes or no of his eyes. It was a ...
Brain Tumor Classification Using Wavelet and Texture
... A PNN is predominantly a classifier since it can map any input pattern to a number of classifications. The main advantages that discriminate PNN are, its fast training process, an inherently parallel structure, guaranteed to converge to an optimal classifier as the size of the representative trainin ...
... A PNN is predominantly a classifier since it can map any input pattern to a number of classifications. The main advantages that discriminate PNN are, its fast training process, an inherently parallel structure, guaranteed to converge to an optimal classifier as the size of the representative trainin ...
Thai Buddhist Amulet Recognition System - IA
... “neurons” interconnected to each other with “synapses”. The neurons and synapses work together. The electric signal from one neuron stimulates other neurons via synapses. If there are more synapses between them, the neurons will be more sensitive to incoming signal. From the concept, it comes up wit ...
... “neurons” interconnected to each other with “synapses”. The neurons and synapses work together. The electric signal from one neuron stimulates other neurons via synapses. If there are more synapses between them, the neurons will be more sensitive to incoming signal. From the concept, it comes up wit ...
18
... How does the human brain make sense of the 3D world while its visual input, the retinal images, are only two-dimensional? There are multiple depth-cues exploited by the brain to create a 3D model of the world. Despite the importance of this subject both for scientists and engineers, the underlying c ...
... How does the human brain make sense of the 3D world while its visual input, the retinal images, are only two-dimensional? There are multiple depth-cues exploited by the brain to create a 3D model of the world. Despite the importance of this subject both for scientists and engineers, the underlying c ...
Modelling the Development of Mirror Neurons for Auditory
... and thus developing strong Hebbian connections. This results in such units not only receiving external, but also strong Hebbian activation, and thus becoming more active than ...
... and thus developing strong Hebbian connections. This results in such units not only receiving external, but also strong Hebbian activation, and thus becoming more active than ...
Encoding and Retrieval of Episodic Memories: Role of Hippocampus
... learning of a single word in a list learning experiment. Note that these are not semantic representations of the word which would be activated in a wide range of different contexts—rather, they code the activation of the semantic representation in a specific episode. As described below, in each regi ...
... learning of a single word in a list learning experiment. Note that these are not semantic representations of the word which would be activated in a wide range of different contexts—rather, they code the activation of the semantic representation in a specific episode. As described below, in each regi ...
Neural plasticity and recovery of function
... • Neural (adj.) = involving a nerve or the system of nerves that includes the brain • Plastic (adj.) = soft enough to be changed into a new shape • Neuroplasticity, brain plasticity or brain malleability • The brain's ability to reorganize itself by forming new neural ...
... • Neural (adj.) = involving a nerve or the system of nerves that includes the brain • Plastic (adj.) = soft enough to be changed into a new shape • Neuroplasticity, brain plasticity or brain malleability • The brain's ability to reorganize itself by forming new neural ...
Brain-to-text: decoding spoken phrases from phone
... high signal-to-noise ratio of signals recorded directly from the brain [electrocorticography (ECoG)]. Several studies used ECoG to investigate the temporal and spatial dynamics of speech perception (Canolty et al., 2007; Kubanek et al., 2013). Other studies highlighted the differences between recept ...
... high signal-to-noise ratio of signals recorded directly from the brain [electrocorticography (ECoG)]. Several studies used ECoG to investigate the temporal and spatial dynamics of speech perception (Canolty et al., 2007; Kubanek et al., 2013). Other studies highlighted the differences between recept ...
Enhanced cholinergic suppression of previously strengthened synapses enables the formation of
... was composed of its initial weight wna€ıve at the beginning of the simulation and its potentiated component wpot , (that is w ¼ wna€ıve þ wpot ). At the beginning of the simulations, wna€ıve was given a small random value and wpot was set to zero. During the learning process wpot was changed accordi ...
... was composed of its initial weight wna€ıve at the beginning of the simulation and its potentiated component wpot , (that is w ¼ wna€ıve þ wpot ). At the beginning of the simulations, wna€ıve was given a small random value and wpot was set to zero. During the learning process wpot was changed accordi ...
The mirror system hypothesis
... The dashed outline shows the system for generating the reach to and grasp of an observed object. The remaining circuitry defines the mirror system and the subsystems which feed it. The encoding of the grasp motor program (F5 canonical) provides the training signal for a recurrent network which model ...
... The dashed outline shows the system for generating the reach to and grasp of an observed object. The remaining circuitry defines the mirror system and the subsystems which feed it. The encoding of the grasp motor program (F5 canonical) provides the training signal for a recurrent network which model ...
THE MIRROR SYSTEM HYPOTHESIS: FROM A MACAQUE
... DeRenzi (1989) reports that some apraxics exhibit a semantic deficit – having difficulty both in classifying gestures and in performing familiar gestures on command – yet may be able copy the pattern of a movement of such a gesture without "getting the meaning” of the action of which it is part. We ...
... DeRenzi (1989) reports that some apraxics exhibit a semantic deficit – having difficulty both in classifying gestures and in performing familiar gestures on command – yet may be able copy the pattern of a movement of such a gesture without "getting the meaning” of the action of which it is part. We ...
the mirror system hypothesis: from a macaque
... dashed outline shows the system for generating the reach to and grasp of an observed object. The remaining circuitry defines the mirror system and the subsystems which feed it. The encoding of the grasp motor program (F5 canonical) provides the training signal for a recurrent network which models th ...
... dashed outline shows the system for generating the reach to and grasp of an observed object. The remaining circuitry defines the mirror system and the subsystems which feed it. The encoding of the grasp motor program (F5 canonical) provides the training signal for a recurrent network which models th ...
KliperEtAl CIP2010
... over the stimulus space that is consistent with the similarities between the responses to different stimuli. A distance function is a function defined over pairs of data-points D : S × S → R, which assigns a real (and possibly bounded) valued number to any pair of points from the input space {si , s ...
... over the stimulus space that is consistent with the similarities between the responses to different stimuli. A distance function is a function defined over pairs of data-points D : S × S → R, which assigns a real (and possibly bounded) valued number to any pair of points from the input space {si , s ...
Neural Basis of Psychological Growth following Adverse
... aggregate of anatomically independent brain areas, also called resting-state networks (RSNs), such a unique relationship is just an approximation and several functional subunits may exist. This is particularly true for the default mode network (DMN), where functional subunits can be discriminated in ...
... aggregate of anatomically independent brain areas, also called resting-state networks (RSNs), such a unique relationship is just an approximation and several functional subunits may exist. This is particularly true for the default mode network (DMN), where functional subunits can be discriminated in ...
Principle of Superposition-free Memory - Deep Blue
... without reloading. Thus the model accounts for long-term memory. It also accounts for short-term memory, as memory will automatically be short-term in the absence of rememorization mediated reloadings. To transfer memory from short- to long-term memory it is only necessary to rememorize under the in ...
... without reloading. Thus the model accounts for long-term memory. It also accounts for short-term memory, as memory will automatically be short-term in the absence of rememorization mediated reloadings. To transfer memory from short- to long-term memory it is only necessary to rememorize under the in ...