IBRO 2008
... cells? A specialisation of GABA release times to different pyramidal cell surface domains, as reflected in the distinct action potential patterns of interneurons relative to network oscillations, is one explanation for the need for independent sources of GABA (refs 2-8). But the same domain may also ...
... cells? A specialisation of GABA release times to different pyramidal cell surface domains, as reflected in the distinct action potential patterns of interneurons relative to network oscillations, is one explanation for the need for independent sources of GABA (refs 2-8). But the same domain may also ...
Integrative actions of the reticular formation The reticular activating
... and Bowden (1949) that basal diencephalic injury produced more profound EEG sleep changes than did the cerveau isol~ preparation, in which optic and olfactory pathways could still provide afferents to the R.F •• Forbes (1949) found it difficult to assume that barbiturate anesthesia, which synchroniz ...
... and Bowden (1949) that basal diencephalic injury produced more profound EEG sleep changes than did the cerveau isol~ preparation, in which optic and olfactory pathways could still provide afferents to the R.F •• Forbes (1949) found it difficult to assume that barbiturate anesthesia, which synchroniz ...
Septins promote dendrite and axon development by negatively
... NATURE COMMUNICATIONS | 4:2532 | DOI: 10.1038/ncomms3532 | www.nature.com/naturecommunications ...
... NATURE COMMUNICATIONS | 4:2532 | DOI: 10.1038/ncomms3532 | www.nature.com/naturecommunications ...
Confidence-Related Decision Making
... attractor network has populations of neurons that respond to each of the possible choices, each biased by the evidence for that choice, and there is competition between the attractor states until one population wins the competition and finishes with high firing that represents the decision. Noise re ...
... attractor network has populations of neurons that respond to each of the possible choices, each biased by the evidence for that choice, and there is competition between the attractor states until one population wins the competition and finishes with high firing that represents the decision. Noise re ...
Temporal Lobe Epilepsy
... length of the EEG data by an expert.This is time-consuming and not economical task. Therefore there is need to automatic classification of EEG signals. Classification problem is a decision making task where many researchers have been working on. There are a number of techniques proposed to perform c ...
... length of the EEG data by an expert.This is time-consuming and not economical task. Therefore there is need to automatic classification of EEG signals. Classification problem is a decision making task where many researchers have been working on. There are a number of techniques proposed to perform c ...
View/Open - Minerva Access
... owl. We demonstrate a similar selective potentiation for the recurrent connections in a network with axonal delays corresponding to the period of incoming oscillatory activity with frequencies in the range of 100-300Hz. For lower frequency oscillations, such as gamma (60Hz), we show that multiple, r ...
... owl. We demonstrate a similar selective potentiation for the recurrent connections in a network with axonal delays corresponding to the period of incoming oscillatory activity with frequencies in the range of 100-300Hz. For lower frequency oscillations, such as gamma (60Hz), we show that multiple, r ...
In VivoCalcium Imaging Reveals Functional Rewiring of Single
... Functional mapping and microstimulation studies suggest that recovery after stroke damage can be attributed to surviving brain regions taking on the functional roles of lost tissues. Although this model is well supported by data, it is not clear how activity in single neurons is altered in relation ...
... Functional mapping and microstimulation studies suggest that recovery after stroke damage can be attributed to surviving brain regions taking on the functional roles of lost tissues. Although this model is well supported by data, it is not clear how activity in single neurons is altered in relation ...
neuronal coding of prediction errors
... have developed this neurobiological theory of learning by arguing that the synaptic connection weights between model neurons are controlled by the prediction error in the form of the Delta learning rule (Widrow & Hoff 1960), which is based on the LMS (least mean square) error procedure of process co ...
... have developed this neurobiological theory of learning by arguing that the synaptic connection weights between model neurons are controlled by the prediction error in the form of the Delta learning rule (Widrow & Hoff 1960), which is based on the LMS (least mean square) error procedure of process co ...
The orbitofrontal cortex: Neuronal activity in the behaving monkey
... 1966, 1975; Iversen and Mishkin 1970), visual discrimination reversals (Jones and Mishkin 1972; Butter 1969; Iversen and Mishkin 1970), object alternations (Mishkin et al. 1969; Mishkin and Manning 1978), spatial reversals and alternations (Iversen and Mishkin 1970; Mishkin et al. 1969; Butter 1969) ...
... 1966, 1975; Iversen and Mishkin 1970), visual discrimination reversals (Jones and Mishkin 1972; Butter 1969; Iversen and Mishkin 1970), object alternations (Mishkin et al. 1969; Mishkin and Manning 1978), spatial reversals and alternations (Iversen and Mishkin 1970; Mishkin et al. 1969; Butter 1969) ...
Circuit Architecture of VTA Dopamine Neurons Revealed by
... capable of influencing diverse behavioral states (Bromberg-Martin et al., 2010; Roeper, 2013; Marinelli and McCutcheon, 2014), the underlying organizational principles that account for this heterogeneity remain unclear. Such principles would be especially useful in understanding the function of the ...
... capable of influencing diverse behavioral states (Bromberg-Martin et al., 2010; Roeper, 2013; Marinelli and McCutcheon, 2014), the underlying organizational principles that account for this heterogeneity remain unclear. Such principles would be especially useful in understanding the function of the ...
Dopaminergic Transmission and Wake
... Early biochemical studies suggested that cocaine and amphetamine inhibit the reuptake of dopamine, noradrenaline and serotonin into nerve terminals. In addition, amphetamines affect the transport of monamines into synaptic vesicles. The development of radioligands for DAT led to studies which showed ...
... Early biochemical studies suggested that cocaine and amphetamine inhibit the reuptake of dopamine, noradrenaline and serotonin into nerve terminals. In addition, amphetamines affect the transport of monamines into synaptic vesicles. The development of radioligands for DAT led to studies which showed ...
Prevalent Presence of Periodic Actin-spectrin-based
... cultured from mouse central and peripheral nervous systems, including excitatory and inhibitory neurons from several brain regions, as well as sensory and motor neurons. Quantitative analyses show that MPS is preferentially formed in axons in all neuronal types tested here: spectrin shows a long-ran ...
... cultured from mouse central and peripheral nervous systems, including excitatory and inhibitory neurons from several brain regions, as well as sensory and motor neurons. Quantitative analyses show that MPS is preferentially formed in axons in all neuronal types tested here: spectrin shows a long-ran ...
Intelligent agents capable of developing memory of their environment
... [Koch and Segev, 2000]. In most cases they shape and integrate these signals in complex ways [Stuart et al., 2001]. Neurons communicate through synapses. Synapses are not simply the point of connection. For a start, there are two types of synapses in the brain: electrical and chemical and synapses c ...
... [Koch and Segev, 2000]. In most cases they shape and integrate these signals in complex ways [Stuart et al., 2001]. Neurons communicate through synapses. Synapses are not simply the point of connection. For a start, there are two types of synapses in the brain: electrical and chemical and synapses c ...
NETMORPH: A Framework for the Stochastic
... described as outcomes of stochastic processes that capture in a phenomenological manner the processes involved in neurite outgrowth. This description includes the influence on outgrowth of the growth cone’s position in the growing tree and of competition for resources between different growth cones ...
... described as outcomes of stochastic processes that capture in a phenomenological manner the processes involved in neurite outgrowth. This description includes the influence on outgrowth of the growth cone’s position in the growing tree and of competition for resources between different growth cones ...
disparity detection from stereo
... that they are not robust against wide variations in object surface properties and lighting conditions [10]. The network learning approaches in category (3) do not require a match between the left and right elements. Instead, the binocular stimuli with a specific disparity are matched with binocular ...
... that they are not robust against wide variations in object surface properties and lighting conditions [10]. The network learning approaches in category (3) do not require a match between the left and right elements. Instead, the binocular stimuli with a specific disparity are matched with binocular ...
Musings on the Wanderer: What`s New in Our Understanding of
... gastrointestinal tract even 45 days after vagotomy (46). There are several potential mechanisms that may be responsible for the failure of the efferents to regenerate (46). Competition for limited target sites and/or the trophic factors they produce might block vagal efferent reinnervation of the ta ...
... gastrointestinal tract even 45 days after vagotomy (46). There are several potential mechanisms that may be responsible for the failure of the efferents to regenerate (46). Competition for limited target sites and/or the trophic factors they produce might block vagal efferent reinnervation of the ta ...
A Double-labeling Investigation of the Afferent Connectivity to
... 17, 18, and 19 receive a vast amount of common input from subcortical and cortical structures and that there is no subdivision according to cortical target in these structures (Bullier et al., 1984a, b). It has also been possible to demonstrate the presence of numerous axonal bifurcations in the aff ...
... 17, 18, and 19 receive a vast amount of common input from subcortical and cortical structures and that there is no subdivision according to cortical target in these structures (Bullier et al., 1984a, b). It has also been possible to demonstrate the presence of numerous axonal bifurcations in the aff ...
Failure of the oculomotor neural integrator from a discrete midline
... commissural fibers crossing the midline at the abducens level can reduce the time constant of the neural integrator by an order of magnitude. This result supports the hypothesis that integration is subserved by commissural interactions among MVN/NPH neurons. A leaky integrator will cause the eyes to ...
... commissural fibers crossing the midline at the abducens level can reduce the time constant of the neural integrator by an order of magnitude. This result supports the hypothesis that integration is subserved by commissural interactions among MVN/NPH neurons. A leaky integrator will cause the eyes to ...
Article
... will be interval sensitive is a complex function of the network’s random connectivity, assigned synaptic strengths, and short-term plasticity (Buonomano, 2000). Once time is encoded in a spatial code, it can be read out by a set of output neurons (see below; Buonomano and Merzenich, 1995; Buonomano, ...
... will be interval sensitive is a complex function of the network’s random connectivity, assigned synaptic strengths, and short-term plasticity (Buonomano, 2000). Once time is encoded in a spatial code, it can be read out by a set of output neurons (see below; Buonomano and Merzenich, 1995; Buonomano, ...
Zwicker Tone Illusion and Noise Reduction in the Auditory System
... did not exploit the fact that noise plays a key role. We define noise to be a sound of roughly constant amplitude over a broad frequency range (exceeding about 0.3 octaves) and with a duration greatly exceeding 100 ms. The deficiencies of the above habituation argument are overcome by a model that i ...
... did not exploit the fact that noise plays a key role. We define noise to be a sound of roughly constant amplitude over a broad frequency range (exceeding about 0.3 octaves) and with a duration greatly exceeding 100 ms. The deficiencies of the above habituation argument are overcome by a model that i ...
PDF file
... that they are not robust against wide variations in object surface properties and lighting conditions [10]. The network learning approaches in category (3) do not require a match between the left and right elements. Instead, the binocular stimuli with a specific disparity are matched with binocular ...
... that they are not robust against wide variations in object surface properties and lighting conditions [10]. The network learning approaches in category (3) do not require a match between the left and right elements. Instead, the binocular stimuli with a specific disparity are matched with binocular ...
brain computer interaction elg5121 (multimedia communication)
... Although the waves are still detectable, it is hard to determine the area of the brain or the neuron that created the signal Examples: ...
... Although the waves are still detectable, it is hard to determine the area of the brain or the neuron that created the signal Examples: ...
Neural oscillation
Neural oscillation is rhythmic or repetitive neural activity in the central nervous system. Neural tissue can generate oscillatory activity in many ways, driven either by mechanisms within individual neurons or by interactions between neurons. In individual neurons, oscillations can appear either as oscillations in membrane potential or as rhythmic patterns of action potentials, which then produce oscillatory activation of post-synaptic neurons. At the level of neural ensembles, synchronized activity of large numbers of neurons can give rise to macroscopic oscillations, which can be observed in the electroencephalogram (EEG). Oscillatory activity in groups of neurons generally arises from feedback connections between the neurons that result in the synchronization of their firing patterns. The interaction between neurons can give rise to oscillations at a different frequency than the firing frequency of individual neurons. A well-known example of macroscopic neural oscillations is alpha activity.Neural oscillations were observed by researchers as early as 1924 (by Hans Berger). More than 50 years later, intrinsic oscillatory behavior was encountered in vertebrate neurons, but its functional role is still not fully understood. The possible roles of neural oscillations include feature binding, information transfer mechanisms and the generation of rhythmic motor output. Over the last decades more insight has been gained, especially with advances in brain imaging. A major area of research in neuroscience involves determining how oscillations are generated and what their roles are. Oscillatory activity in the brain is widely observed at different levels of observation and is thought to play a key role in processing neural information. Numerous experimental studies support a functional role of neural oscillations; a unified interpretation, however, is still lacking.