Dynamics of Propofol-Induced Loss of Consciousness Across
... importance of understanding the intracortical neuronal dynamics associated with anesthetic-induced unconsciousness, direct recordings from neocortex, especially functionally interconnecting regions, during anesthesia are rare in primates. Moreover, the neurophysiological changes during the transitio ...
... importance of understanding the intracortical neuronal dynamics associated with anesthetic-induced unconsciousness, direct recordings from neocortex, especially functionally interconnecting regions, during anesthesia are rare in primates. Moreover, the neurophysiological changes during the transitio ...
Neural Substrates Related to Motor Memory with Multiple
... direct current stimulation; TE, echo time; TPJ, ...
... direct current stimulation; TE, echo time; TPJ, ...
Neural Induction in Xenopus: Requirement for Ectodermal and
... in vertebrate embryology. Here we show that Xenopus neural induction starts earlier than previously thought, at the blastula stage, and requires the combined activity of two distinct signaling centers. One is the well-known Nieuwkoop center, located in dorsal-vegetal cells, which expresses Nodal-rel ...
... in vertebrate embryology. Here we show that Xenopus neural induction starts earlier than previously thought, at the blastula stage, and requires the combined activity of two distinct signaling centers. One is the well-known Nieuwkoop center, located in dorsal-vegetal cells, which expresses Nodal-rel ...
A thalamic reticular networking model of consciousness
... [Conclusions]: I propose that the thalamocortical integrative communication across first- and higher-order information circuits and repeated feedback looping may account for our conscious awareness. This TRNmodulation hypothesis for conscious awareness provides a comprehensive rationale regarding pr ...
... [Conclusions]: I propose that the thalamocortical integrative communication across first- and higher-order information circuits and repeated feedback looping may account for our conscious awareness. This TRNmodulation hypothesis for conscious awareness provides a comprehensive rationale regarding pr ...
A Symmetric Approach Elucidates Multisensory Information Integration
... the solitary tract of the awake, freely licking rat. A multisensory network for olfactory processing, via primary gustatory cortex connections to primary olfactory cortex, once again suggests that sensory processing may be more intrinsically integrative than previously thought [28]. In sum, the curr ...
... the solitary tract of the awake, freely licking rat. A multisensory network for olfactory processing, via primary gustatory cortex connections to primary olfactory cortex, once again suggests that sensory processing may be more intrinsically integrative than previously thought [28]. In sum, the curr ...
New Insights on Neural Basis of Choice
... differences. Furthermore, fMRI is not good enough to actually differentiate between all these small subregions. Some scholars will address vmPFC and OFC as different. But be careful. It may be that they talk about humans or monkeys. There is no direct homology between these areas across species. Not ...
... differences. Furthermore, fMRI is not good enough to actually differentiate between all these small subregions. Some scholars will address vmPFC and OFC as different. But be careful. It may be that they talk about humans or monkeys. There is no direct homology between these areas across species. Not ...
Neural representation of object orientation: A dissociation between
... The use of both RS and MVP-similarity measures also afforded an opportunity to ask whether these methods capture different aspects of neural similarity. Although both methods are frequently used to address questions of representational similarity, previous studies have found that RS and MVPA do not ...
... The use of both RS and MVP-similarity measures also afforded an opportunity to ask whether these methods capture different aspects of neural similarity. Although both methods are frequently used to address questions of representational similarity, previous studies have found that RS and MVPA do not ...
working draft - DAVID KAPLAN | Macquarie University
... For example, Fitts’ law describes the tradeoff (negative correlation) between speed and accuracy in goal-directed, human motor behavior. The WeberFechner law describes the robust psychological finding that the just-noticeable difference between two sensory stimuli is proportional to their magnitudes ...
... For example, Fitts’ law describes the tradeoff (negative correlation) between speed and accuracy in goal-directed, human motor behavior. The WeberFechner law describes the robust psychological finding that the just-noticeable difference between two sensory stimuli is proportional to their magnitudes ...
Nonlinear brain dynamics as macroscopic manifestation of
... ionic carriers that implement the neural machineries of electrogenesis and learning. They support description of brain functions at several levels of complexity through measuring neural activity in the brains of animal and human subjects engaged in behavioral exchanges with their environments. In th ...
... ionic carriers that implement the neural machineries of electrogenesis and learning. They support description of brain functions at several levels of complexity through measuring neural activity in the brains of animal and human subjects engaged in behavioral exchanges with their environments. In th ...
Doubly stochastic processes: an approach for understanding central
... processes are a natural tool for understanding certain types of information processing in the central nervous system. Doubly stochastic processes themselves are not new and have been investigated in a mathematical context; however, they have not been widely applied in neuroscience. We begin by point ...
... processes are a natural tool for understanding certain types of information processing in the central nervous system. Doubly stochastic processes themselves are not new and have been investigated in a mathematical context; however, they have not been widely applied in neuroscience. We begin by point ...
Visual Object Recognition: Do We Know More Now Than We Did 20
... Marr’s 1982 book) seminal paper, it, more than any other single publication, is arguably the spark for what we think of as the modern study of visual object recognition. Interestingly, although it was heavily motivated by neuropsychological data and behavioral intuition, Marr and Nishihara’s theory ...
... Marr’s 1982 book) seminal paper, it, more than any other single publication, is arguably the spark for what we think of as the modern study of visual object recognition. Interestingly, although it was heavily motivated by neuropsychological data and behavioral intuition, Marr and Nishihara’s theory ...
REVIEWS - Institute for Applied Psychometrics
... in these activities because, like most animals, we process and use temporal information across a wide range of intervals (FIG. 1) — in contrast to, for example, the limited range of the light spectrum that we can see. Being able to tell the time is also advantageous for gathering spatial information ...
... in these activities because, like most animals, we process and use temporal information across a wide range of intervals (FIG. 1) — in contrast to, for example, the limited range of the light spectrum that we can see. Being able to tell the time is also advantageous for gathering spatial information ...
The Features and Functions of Neuronal Assemblies: Possible
... Yet whilst known functions can be more accurately described in terms of activity patterns, assemblies themselves might be a good starting point for understanding previously elusive functions. Their emergent spatio-temporal profile typically is one of hundreds of milliseconds, a time-course roughly t ...
... Yet whilst known functions can be more accurately described in terms of activity patterns, assemblies themselves might be a good starting point for understanding previously elusive functions. Their emergent spatio-temporal profile typically is one of hundreds of milliseconds, a time-course roughly t ...
Tutorial on Pattern Classification in Cell Recording
... Our motivation for using the procedure described in this chapter is based on a simple intuition for what we believe is an important computational function that the brain must perform—namely, to reliably distinguish in real time between different behaviorally relevant conditions that are present in t ...
... Our motivation for using the procedure described in this chapter is based on a simple intuition for what we believe is an important computational function that the brain must perform—namely, to reliably distinguish in real time between different behaviorally relevant conditions that are present in t ...
final scientific program
... One of the fundamental problems in neuroscience today is to understand how the activation of large populations of neurons gives rise to the higher order functions of the brain including learning, memory, cognition, perception, action and ultimately conscious awareness. Electrophysiological recording ...
... One of the fundamental problems in neuroscience today is to understand how the activation of large populations of neurons gives rise to the higher order functions of the brain including learning, memory, cognition, perception, action and ultimately conscious awareness. Electrophysiological recording ...
The epistemic value of brain-machine systems for the study of the
... components with artificial devices. In addition, they both use prostheses qua functional replacers of biological components in order to test particular neuroscientific hypotheses. The “qua functional replacers” clause is not redundant. I will argue that, in some BCI-supported theoretically driven ex ...
... components with artificial devices. In addition, they both use prostheses qua functional replacers of biological components in order to test particular neuroscientific hypotheses. The “qua functional replacers” clause is not redundant. I will argue that, in some BCI-supported theoretically driven ex ...
Brain Oscillations Control Timing of Single
... Key words: phase locking; theta; gamma; intracranial EEG; navigation; local field potential ...
... Key words: phase locking; theta; gamma; intracranial EEG; navigation; local field potential ...
Evolution of central pattern generators and rhythmic behaviours
... analogous rhythmic behaviours have evolved independently, it has generally been with different neural mechanisms. Repeated evolution of particular rhythmic behaviours has occurred within some lineages due to parallel evolution or latent CPGs. Particular motor pattern generating mechanisms have also ...
... analogous rhythmic behaviours have evolved independently, it has generally been with different neural mechanisms. Repeated evolution of particular rhythmic behaviours has occurred within some lineages due to parallel evolution or latent CPGs. Particular motor pattern generating mechanisms have also ...
Preprint - University of Pennsylvania School of Arts and Sciences
... Sensory “encoding” models, which describe how the inputs to a neuron are converted into its responses, have proven effective in a broad array of sensory modalities, brain areas, and species (e.g. Eggermont, Aertsen and Johannesma 1983, Jones and Palmer 1987, DiCarlo, Johnson and Hsiao 1998). Within ...
... Sensory “encoding” models, which describe how the inputs to a neuron are converted into its responses, have proven effective in a broad array of sensory modalities, brain areas, and species (e.g. Eggermont, Aertsen and Johannesma 1983, Jones and Palmer 1987, DiCarlo, Johnson and Hsiao 1998). Within ...
Contributions to the Understanding of the Neural Bases of
... So, consciousness is a function of numerous interacting systems. Certainly, without higher brain stem and diencephalic integration it cannot exist. In fact, consciousness is not a single process but a collection of many processes, such as those associated with language, thinking, memory, emotion, fe ...
... So, consciousness is a function of numerous interacting systems. Certainly, without higher brain stem and diencephalic integration it cannot exist. In fact, consciousness is not a single process but a collection of many processes, such as those associated with language, thinking, memory, emotion, fe ...
Fading memory and kernel properties of generic cortical microcircuit
... 0928-4257/$ - see front matter 2005 Published by Elsevier Ltd. doi:10.1016/j.jphysparis.2005.09.020 ...
... 0928-4257/$ - see front matter 2005 Published by Elsevier Ltd. doi:10.1016/j.jphysparis.2005.09.020 ...
A Neural Mass Model to Simulate Different Rhythms in a Cortical
... rhythmic activity in the model can be easily moved between the alpha, beta, and gamma bands. This is a plausible physiological mechanism, since connectivity strength may be rapidly adjusted in vivo by synaptic plasticity. Hence, one does not need to hypothesize a less justifiable modulation of synap ...
... rhythmic activity in the model can be easily moved between the alpha, beta, and gamma bands. This is a plausible physiological mechanism, since connectivity strength may be rapidly adjusted in vivo by synaptic plasticity. Hence, one does not need to hypothesize a less justifiable modulation of synap ...
Beyond Control: The Dynamics of Brain-Body
... properly be assigned to any individual component of this coupled system. Evidence for this view has come not only from neuromechanical studies of motor behavior, but also work in robotics, perception, developmental psychology, cognitive science, and philosophy of mind (Gibson, 1979; Brooks, 1991; Th ...
... properly be assigned to any individual component of this coupled system. Evidence for this view has come not only from neuromechanical studies of motor behavior, but also work in robotics, perception, developmental psychology, cognitive science, and philosophy of mind (Gibson, 1979; Brooks, 1991; Th ...
Towards the integration of neural mechanisms and cognition in
... neural circuits and the robot; it is the control interface and it implements how the neural activity is translated in actuation. The Neural lattice layer is the brain model and it is fairly composed by at least two sublayers: the neural circuits and the cognition. The neural circuits layer contains ...
... neural circuits and the robot; it is the control interface and it implements how the neural activity is translated in actuation. The Neural lattice layer is the brain model and it is fairly composed by at least two sublayers: the neural circuits and the cognition. The neural circuits layer contains ...
Neural binding
Neural binding refers to the neuroscientific aspect of what is commonly known as the binding problem. The Binding Problem is an interdisciplinary term, named for the difficulty of creating a comprehensive and verifiable model for the unity of consciousness. ""Binding"" refers to the integration of highly diverse neural information in the forming of one's cohesive experience. The neural binding hypothesis states that neural signals are paired through synchronized oscillations of neuronal activity that combine and recombine to allow for a wide variety of responses to context-dependent stimuli. These dynamic neural networks are thought to account for the flexibility and nuanced response of the brain to various situations. The coupling of these networks is transient, on the order of milliseconds, and allows for rapid activity.A viable mechanism for this phenomenon must address (1) the difficulties of reconciling the global nature of the participating (exogenous) signals and their relevant (endogenous) associations, (2) the interface between lower perceptual processes and higher cognitive processes, (3) the identification of signals (sometimes referred to as “tagging”) as they are processed and routed throughout the brain, and (4) the emergence of a unity of consciousness.Proposed adaptive functions of neural binding have included the avoidance of hallucinatory phenomena generated by endogenous patterns alone as well as the avoidance of behavior driven by involuntary action alone.There are several difficulties that must be addressed in this model. First, it must provide a mechanism for the integration of signals across different brain regions (both cortical and subcortical). It must also be able to explain the simultaneous processing of unrelated signals that are held separate from one another and integrated signals that must be viewed as a whole.