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What is a Brain State
What is a Brain State

... representations. In the framework I am advocating trying to explain brain states in terms of states of the brain (as Putnam wanted to do) is to conflate these two kinds of states. Any theoretical account of the brain and its states should explain both kinds as it seems natural to expect each kind of ...
CYTOARCHITECTURE OF CEREBRAL CORTEX
CYTOARCHITECTURE OF CEREBRAL CORTEX

... • Transporters: plasma membrane; vesicular • Others ...
Neural Networks, Fuzzy Models and Dynamic Logic. Chapter in R
Neural Networks, Fuzzy Models and Dynamic Logic. Chapter in R

... models and the input signals combined with a new type of logic, i.e. the fuzzy dynamic logic. Modeling field theory is a multi-level, hetero-hierarchical system. This section describes a basic mechanism of interaction between two adjacent hierarchical levels of signals (fields of neural activation); ...
Jennifer S. Lund
Jennifer S. Lund

Sensation - Macmillan Learning
Sensation - Macmillan Learning

... stimuli can be persuasive, but their claims are probably unwarranted. 5. Some weak stimuli may trigger in our sensory receptors a response that is processed by the brain, even though the response doesn’t cross the threshold into awareness. 6. Under certain conditions, an invisible image or word can ...
Vibration Sensitivity and a Computational Theory for Prey
Vibration Sensitivity and a Computational Theory for Prey

... VIBRATIONAL COMMUNICATION AND PREY ...
Computational themes of peripheral processing
Computational themes of peripheral processing

... et al. 2009). However, this comes at the cost of lost information about the temporal order of individual features (von Helversen and von Helversen 1998; Creutzig et al. 2009; Clemens and Hennig 2013; contribution Ronacher et al. ...
Krasnow Institute for Advanced Studies -- George
Krasnow Institute for Advanced Studies -- George

... How are relationships established and broken? How are signals transformed into into symbols? How does the brain generate the incredibly complex colorful, dynamic internal representation that we consciously perceive as external reality? Krasnow Institute for Advanced Studies -- George Mason Universit ...
Spiking neural networks for vision tasks
Spiking neural networks for vision tasks

... ral networks and spiking neural networks is the speed with which information can be processed. While regular NNs process information synchronized, that means that every neuron in a layer is evaluated before the information can progress to the next layer, SNNs process information in an asynchronous, ...
9 The Hazards of Claiming to Have Solved the Hard Problem of Free
9 The Hazards of Claiming to Have Solved the Hard Problem of Free

... people are in conscious control of their actions and the counterintuitive position that this experience of free will is illusory and people are automatons being pushed around by the compendium of known forces in a physical world. For all the ostensible importance of such a question, the debate has h ...
CNBC onnect - cnbc.cmu.edu - Center for Neural Basis of Cognition
CNBC onnect - cnbc.cmu.edu - Center for Neural Basis of Cognition

... to monitor the activity of many neurons. This allowed an estimation of the shared signals among local neurons that related them to global brain oscillations. As EEG is a common signal used in human neuroscience, Snyder and Smith probed its relation to underlying neural activity. Using a spatial atte ...
Processing of complex stimuli and natural scenes in the visual cortex
Processing of complex stimuli and natural scenes in the visual cortex

... Ringach and co-workers [15] could measure the RFs of simple and complex cells using natural movie clips. The obtained RFs are qualitatively similar to those obtained with randomly flashed gratings. This general notion has been confirmed using a slightly different method of analysis [17]. The pref ...
Stimulus-Dependent Synchronization of Neuronal Responses in the
Stimulus-Dependent Synchronization of Neuronal Responses in the

... monkey. It was found that cells with overlapping receptive fields, but different preferences for directions of motion, can engage in synchronous activity if they are stimulated with a single moving bar. In contrast, if the same cells are activated with two different bars, each moving in the directio ...
Lecture 9B
Lecture 9B

... David J. Linden (“The Accidental Mind): “The brain is not elegantly designed by any means: it is a cobbled-together mess, which, amazingly, and in spite of its shortcomings, manages to perform a number of very impressive functions. But while its overall function is impressive, its design is not.” Ma ...
Full Text
Full Text

... Geometric-optical illusions have been the subjects of research interest in a number of disciplines in science. Moreover, investigation of the patients’ reactions to illusory configurations has been somewhat instrumental in the understanding of impaired neurocognitive processes underlying some of the ...
Causal networks as the backbone for temporal data-to-text
Causal networks as the backbone for temporal data-to-text

Cerebral Cortex
Cerebral Cortex

... Attention is highly flexible and can be deployed in a manner that best serves the organism’s momentary behavioral goals, either to locations, to visual features, or to objects. Attention can be based on internal goals (endogenous, eg. finding a familiar face in a crowd) or can depend on the external ...
Ch19 Lecture
Ch19 Lecture

... signals, and experience allows this system to also be activated by learned danger signals. ...
The Biological Bases of Time-to
The Biological Bases of Time-to

... suggested that the LGMD post-synaptically multiplies an excitatory and inhibitory input via two different parts of LGMD neuron’s dendritic tree. In order to provide evidence in support of this model these authors (Gabbiani et al., 2002) have selectively activated and deactivated pre-and post synapti ...
EVOLUTIONARY AUTONOMOUS AGENTS: A NEUROSCIENCE
EVOLUTIONARY AUTONOMOUS AGENTS: A NEUROSCIENCE

... interneurons. Finally, the synaptic connections formed in some of the evolved agents were, at least to some extent, similar to those observed in the real lamprey12. These results were obtained using fitness (optimization) functions that explicitly express the desired outcome. However, interesting bi ...
The neural subjective frame: from bodily signals to perceptual
The neural subjective frame: from bodily signals to perceptual

... try to specifically capture this fundamental property [13,25]. The existing neural theories of consciousness sometimes seem to imply that the first-person perspective inherent to conscious perceptual experience would arise somehow from externally triggered signals. However, the first-person perspect ...
The caudal part of the frontal cortex is strongly involved - LIRA-Lab
The caudal part of the frontal cortex is strongly involved - LIRA-Lab

... al., 1996a). Very recently, it has been reported that a fraction of mirror neurons, in addition to their visual response, become also active when the monkey listens to an action-related sound (e.g. breaking of a peanut) (Kohler et al., 2002). It is tempting therefore to conclude that mirror neurons ...
1 - Philosophy and Predictive Processing
1 - Philosophy and Predictive Processing

... “Our cognition arises from two fundamental sources in the mind, the first of which is the reception of representations (the receptivity of impressions), the second the faculty for cognizing an object by means of these representations (spontaneity of concepts); through the former an object is given t ...
ppt - IISER Pune
ppt - IISER Pune

... There exist “critical” or “sensitive” periods during development ...
Протокол
Протокол

... Knowledge of physiologic function of analyzers and receptor apparatus. ...
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Binding problem

The binding problem is a term used at the interface between neuroscience, cognitive science and philosophy of mind that has multiple meanings.Firstly, there is the segregation problem: a practical computational problem of how brains segregate elements in complex patterns of sensory input so that they are allocated to discrete ""objects"". In other words, when looking at a blue square and a yellow circle, what neural mechanisms ensure that the square is perceived as blue and the circle as yellow, and not vice versa? The segregation problem is sometimes called BP1.Secondly, there is the combination problem: the problem of how objects, background and abstract or emotional features are combined into a single experience. The combination problem is sometimes called BP2.However, the difference between these two problems is not always clear. Moreover, the historical literature is often ambiguous as to whether it is addressing the segregation or the combination problem.
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