Military Communications and Information Technology
... local area networks. They find that their applications tend to work well in these static environments, with low response times, even for large messages. However, thought also needs to be given to the frontline staff; those connected only between themselves by Mobile Ad Hoc Networks (MANETs), or by s ...
... local area networks. They find that their applications tend to work well in these static environments, with low response times, even for large messages. However, thought also needs to be given to the frontline staff; those connected only between themselves by Mobile Ad Hoc Networks (MANETs), or by s ...
Basal Ganglia - Adaptive Behaviour Research Group
... The principle input components of the basal ganglia are the striatum and the STN. Afferent connections to both of these structures originate from virtually the entire brain including, cerebral cortex, many parts of the brainstem (via the thalamus), and the limbic system. Input connections provide ph ...
... The principle input components of the basal ganglia are the striatum and the STN. Afferent connections to both of these structures originate from virtually the entire brain including, cerebral cortex, many parts of the brainstem (via the thalamus), and the limbic system. Input connections provide ph ...
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... cell-types. Since these spinal neurons form populations that extend uninterrupted into the caudal part of the hindbrain, and since this caudal part of the hindbrain is needed for generating sustained locomotion (Li et al., 2006), we have included it in what we refer to as the spinal cord connectome. ...
... cell-types. Since these spinal neurons form populations that extend uninterrupted into the caudal part of the hindbrain, and since this caudal part of the hindbrain is needed for generating sustained locomotion (Li et al., 2006), we have included it in what we refer to as the spinal cord connectome. ...
Learning of Sequences of Finger Movements and Timing: Frontal
... learning conditions with a visuo-motor control condition. In two learning conditions, the subjects learned either a sequence of finger movements with random timing or a sequence of timing with random use of fingers. In the third condition the subjects learned to execute a sequence of specific finger ...
... learning conditions with a visuo-motor control condition. In two learning conditions, the subjects learned either a sequence of finger movements with random timing or a sequence of timing with random use of fingers. In the third condition the subjects learned to execute a sequence of specific finger ...
Modulation of Neuronal Activity in the Monkey Putamen Associated
... followed a repeating series of three locations (right-center-left) so that the timing and location of the stimulus were predictable and the “random sequence” in which the location of the trigger stimulus varied pseudorandomly from trial to trial so that the timing of the trigger stimulus was predict ...
... followed a repeating series of three locations (right-center-left) so that the timing and location of the stimulus were predictable and the “random sequence” in which the location of the trigger stimulus varied pseudorandomly from trial to trial so that the timing of the trigger stimulus was predict ...
Learning place cells, grid cells and invariances: A unifying model
... the target rate everywhere (Supplementary Online Material, SOM). From this homogeneous state, a small potentiation of one excitatory weight leads to an increased firing rate of the output neuron at the location of the associated place field (highlighted red curve in Fig. 1e). To bring the output neu ...
... the target rate everywhere (Supplementary Online Material, SOM). From this homogeneous state, a small potentiation of one excitatory weight leads to an increased firing rate of the output neuron at the location of the associated place field (highlighted red curve in Fig. 1e). To bring the output neu ...
Modeling multiple time scale firing rate adaptation in a neural
... to a step stimulus or to the dynamics of the adaptation variable. The two methods produce equivalent results when k1h'(t)=k2 −k2h(t), where k1 and k2 are constants, which gives a differential equation with solutions having the form of exponentials. In other words, to the degree that the filter h(t) ...
... to a step stimulus or to the dynamics of the adaptation variable. The two methods produce equivalent results when k1h'(t)=k2 −k2h(t), where k1 and k2 are constants, which gives a differential equation with solutions having the form of exponentials. In other words, to the degree that the filter h(t) ...
Turning on the alarm - Center for Healthy Minds
... sensitive, resulting in “false alarms” or pain experiences that do not, in fact, signal danger. Many chronic pain disorders are characterized by oversensitivity to sensory input (i.e. allodynia or hyperalgesia). Thus, understanding the biological mechanisms of the transition from innocuous to painfu ...
... sensitive, resulting in “false alarms” or pain experiences that do not, in fact, signal danger. Many chronic pain disorders are characterized by oversensitivity to sensory input (i.e. allodynia or hyperalgesia). Thus, understanding the biological mechanisms of the transition from innocuous to painfu ...
Here - Institute of Cognitive Neuroscience
... & Cohen, 1988; Scoville & Milner, 1957; Squire, 1986), together with other elements of Papez’s circuit (Aggleton & Brown, 1999). Within the spatial domain, neuropsychological studies have left little doubt that the medial temporal lobe, particularly in the right hemisphere, is critical for rememberi ...
... & Cohen, 1988; Scoville & Milner, 1957; Squire, 1986), together with other elements of Papez’s circuit (Aggleton & Brown, 1999). Within the spatial domain, neuropsychological studies have left little doubt that the medial temporal lobe, particularly in the right hemisphere, is critical for rememberi ...
Bursting Neurons Signal Input Slope
... frequencies. Figure 3D shows the mean slope of the stimuli preceding bursts at a range of frequencies. The maximal positive slopes (dark red) always precede bursts. Note, that at ⬎10 Hz there is a frequency-dependent delay of bursts up to ⬃20 msec. This frequency-dependent delay could degrade the te ...
... frequencies. Figure 3D shows the mean slope of the stimuli preceding bursts at a range of frequencies. The maximal positive slopes (dark red) always precede bursts. Note, that at ⬎10 Hz there is a frequency-dependent delay of bursts up to ⬃20 msec. This frequency-dependent delay could degrade the te ...
A Bio-inspired Redundant Sensing Architecture
... Sensing is the process of deriving signals from the environment that allows artificial systems to interact with the physical world. The Shannon theorem specifies the maximum rate at which information can be acquired [1]. However, this upper bound is hard to achieve in many man-made systems. The biol ...
... Sensing is the process of deriving signals from the environment that allows artificial systems to interact with the physical world. The Shannon theorem specifies the maximum rate at which information can be acquired [1]. However, this upper bound is hard to achieve in many man-made systems. The biol ...
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... Several studies have found that lower DMN activity is associated with more successful performance across a number of stimulus-driven goal-directed cognitive tasks [29,30,37,49,50]. Building on an earlier meta-analysis [9], Shulman and colleagues showed that a node proximal to the DMN (i.e., the righ ...
... Several studies have found that lower DMN activity is associated with more successful performance across a number of stimulus-driven goal-directed cognitive tasks [29,30,37,49,50]. Building on an earlier meta-analysis [9], Shulman and colleagues showed that a node proximal to the DMN (i.e., the righ ...
Activity-dependent editing of neuromuscular synaptic connections
... related experiments suggest that inputs driven by each eye compete for cortical targets, and that more active terminals from the open eye have a competitive advantage over inactive inputs from the closed eye. Activity manipulations during the critical period produced permanent changes in the synapti ...
... related experiments suggest that inputs driven by each eye compete for cortical targets, and that more active terminals from the open eye have a competitive advantage over inactive inputs from the closed eye. Activity manipulations during the critical period produced permanent changes in the synapti ...
Adaptive Gain and Optimal Performance
... receive LC innervation (e.g., hypothalamus and caudate-putamen). ...
... receive LC innervation (e.g., hypothalamus and caudate-putamen). ...
Neural correlates of social exclusion during adolescence
... subjective ratings of distress resulting from the experience of being rejected. Given that the cingulate and insular regions of the brain should be functioning at an adult level by adolescence (e.g. Gogtay et al., 2004), we based this prediction on previous findings among adults experiencing social ...
... subjective ratings of distress resulting from the experience of being rejected. Given that the cingulate and insular regions of the brain should be functioning at an adult level by adolescence (e.g. Gogtay et al., 2004), we based this prediction on previous findings among adults experiencing social ...
“left or right” Decision-making beyond
... decision-making unit. Several other factors, such as attention, prior probability of the decision alternatives, or the expected reward, can bias perceptual decisions towards one of the alternatives, but were not explicitly included in any of the experimental or model designs treated here. Instead, t ...
... decision-making unit. Several other factors, such as attention, prior probability of the decision alternatives, or the expected reward, can bias perceptual decisions towards one of the alternatives, but were not explicitly included in any of the experimental or model designs treated here. Instead, t ...
TESIS DOCTORAL Dynamics and Synchronization in Neuronal Models
... Chapter 2 investigates the role of noise acting on neurons. The phenomenon of stochastic resonance is characterized on an ensemble of neurons of the motor system. After the introduction of the appropriate model describing the neuron dynamics and the numerical integration details, stochastic resonanc ...
... Chapter 2 investigates the role of noise acting on neurons. The phenomenon of stochastic resonance is characterized on an ensemble of neurons of the motor system. After the introduction of the appropriate model describing the neuron dynamics and the numerical integration details, stochastic resonanc ...