Chapter Two Part One PPT - K-Dub
... Like a gun, it either fires or it doesn’t; more stimulation does nothing. This is known as the “all-ornone” response. ...
... Like a gun, it either fires or it doesn’t; more stimulation does nothing. This is known as the “all-ornone” response. ...
A Small World of Neuronal Synchrony
... neurons such as their orientation tuning. When using correlation analysis for the identification of network properties, one needs to consider that synchronization among pairs of neurons does not necessarily imply that they interact directly because correlated firing can also be caused by common input ...
... neurons such as their orientation tuning. When using correlation analysis for the identification of network properties, one needs to consider that synchronization among pairs of neurons does not necessarily imply that they interact directly because correlated firing can also be caused by common input ...
Digital Selection and Analogue Amplification Coexist in a cortex-inspired silicon circuit
... S diag j1 ; ¼; jN is a matrix that carries `digital' information about which neurons are active (ji 1 if neuron i is active and zero otherwise). The effective gain G depends on the identities of the active neurons, though it is independent of their analogue responses. It is composed of two fac ...
... S diag j1 ; ¼; jN is a matrix that carries `digital' information about which neurons are active (ji 1 if neuron i is active and zero otherwise). The effective gain G depends on the identities of the active neurons, though it is independent of their analogue responses. It is composed of two fac ...
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... enough to fulfill the switching role we seek. As a result, neuromodulation is not generally considered to be a candidate mechanism for rapid and precise switching of complex neural circuits and responses. Nevertheless, it is good to keep in mind that this standard wisdom may be wrong (see Sherman an ...
... enough to fulfill the switching role we seek. As a result, neuromodulation is not generally considered to be a candidate mechanism for rapid and precise switching of complex neural circuits and responses. Nevertheless, it is good to keep in mind that this standard wisdom may be wrong (see Sherman an ...
What are Computational Neuroscience and Neuroinformatics
... that fire together wire together). Biologically relevant models such as the Hopfield net have been developed to address the properties of associative, rather than content-addressable style of memory that occur in biological systems. These attempts are primarily focusing on the formation of medium-te ...
... that fire together wire together). Biologically relevant models such as the Hopfield net have been developed to address the properties of associative, rather than content-addressable style of memory that occur in biological systems. These attempts are primarily focusing on the formation of medium-te ...
neurons
... either fires or it doesn’t; more stimulation does nothing. This is known as the “all-ornone” response. ...
... either fires or it doesn’t; more stimulation does nothing. This is known as the “all-ornone” response. ...
A quantitative theory of neural computation Cambridge, MA 02138
... connections may be relatively few and individually weak. We characterize these most challenging tasks as those where arbitrary pairs of distinct previously made memories may have to be related somehow, such as by forming a conjunction of them or making an association. We call these random access tas ...
... connections may be relatively few and individually weak. We characterize these most challenging tasks as those where arbitrary pairs of distinct previously made memories may have to be related somehow, such as by forming a conjunction of them or making an association. We call these random access tas ...
Poster Sensopac
... of the biological motor pathways) and supplied to the robot plant. The difference between the actual robot trajectory and the desired one is also delayed and used by the teaching signal computation module to calculate the inferior olive (IO) cerebellum input signal. This signal will be used by the c ...
... of the biological motor pathways) and supplied to the robot plant. The difference between the actual robot trajectory and the desired one is also delayed and used by the teaching signal computation module to calculate the inferior olive (IO) cerebellum input signal. This signal will be used by the c ...
neuron
... Neuron Communication With Other Neurons • In order for one neuron to communicate with another it must pass a junction or gap called the synapse between the axon which is sending the signal and the dendrite which is receiving the signal. • At the ends of the axon, the terminal buttons release neur ...
... Neuron Communication With Other Neurons • In order for one neuron to communicate with another it must pass a junction or gap called the synapse between the axon which is sending the signal and the dendrite which is receiving the signal. • At the ends of the axon, the terminal buttons release neur ...
The Emergence of Selective Attention through - laral
... enhances the activity of the neurons that code for the relevant feature in parallel throughout the visual field, and thus that representations of distracters sharing one or more features with the target are enhanced as well, slowing down the response decision process. Overall, the results of these e ...
... enhances the activity of the neurons that code for the relevant feature in parallel throughout the visual field, and thus that representations of distracters sharing one or more features with the target are enhanced as well, slowing down the response decision process. Overall, the results of these e ...
The Neural Basis of the Object Concept in Ambiguous and
... had the same color and were parallel so that they might be perceived either as one object (a grating) or as two objects. In the other case both bars were different in color and orientation. The input to the network was computed from these stimuli. Since the feature values are binary in each dimensio ...
... had the same color and were parallel so that they might be perceived either as one object (a grating) or as two objects. In the other case both bars were different in color and orientation. The input to the network was computed from these stimuli. Since the feature values are binary in each dimensio ...
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... their experience-based development. This architecture enables three types of attention: feature-based bottom-up attention, position-based top-down attention, and object-based top-down attention, as three possible information flows through the Yshaped network. The learning mechanism of the network is ...
... their experience-based development. This architecture enables three types of attention: feature-based bottom-up attention, position-based top-down attention, and object-based top-down attention, as three possible information flows through the Yshaped network. The learning mechanism of the network is ...
Networks of Neurons (2001)
... If the axon is long, this is inadequate since changes at one end would decay away almost completely before reaching the other end. If the change in potential difference is large enough, then in a cylindrical configuration such as the axon, a pulse can actively propagate at full amplitude. The Hodgki ...
... If the axon is long, this is inadequate since changes at one end would decay away almost completely before reaching the other end. If the change in potential difference is large enough, then in a cylindrical configuration such as the axon, a pulse can actively propagate at full amplitude. The Hodgki ...
Brain rhythms in mental time travel
... (Howard et al., 2008), and suggest that storage and retrieval of item-tocontext bindings are the fundamental associative processes at work in episodic memory (Howard and Kahana, 2002; Sederberg et al., 2010). A recent study by Manning et al. (2011) suggests that one can observe the neural signature ...
... (Howard et al., 2008), and suggest that storage and retrieval of item-tocontext bindings are the fundamental associative processes at work in episodic memory (Howard and Kahana, 2002; Sederberg et al., 2010). A recent study by Manning et al. (2011) suggests that one can observe the neural signature ...